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Toward an Efficient Deployment of Open Source Software in the Internet of Vehicles Field

  • Review - Computer Engineering and Computer Science
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Abstract

Recent developments in communication technologies, hardware and software are facilitating the implementation of different types of intelligent networks in various environments. One such network is the Internet-connected vehicles network. Internet of Vehicles (IoV) has recently become an active area of standardization, development and research, because it has shown to improve vehicle usage, traffic efficiency, road safety, as well as drivers’ and passengers’ comfort. As vehicles are becoming more connected and smarter, they are also becoming more reliant on software built with open source software (OSS). The deployment of OSS in the IoV field is, however, erratic and does not follow a clear approach. This study overviews the different applications in IoV as well as the existing and available open source software, in order to represent the current state of how this software paradigm is being used in IoV. This study also outlines challenges that remain to be addressed if we are to facilitate the widespread deployment and prevalent implementation of open source in IoV. Finally, this study explores some potential opportunities within IoV open source software for developing different IoV applications.

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References

  1. Adil, S.H.; Aziz, A.A.; Akber, T.; Ebrahim, M.; Ali, S.S.A.; Raza, K.: 3D smart city simulator. In: 2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation ROMA 2017, vol. 2017–December, pp. 1–5 (2017)

  2. Latif, S.; Mahfooz, S.; Jan, B.; Ahmad, N.; Cao, Y.; Asif, M.: A comparative study of scenario-driven multi-hop broadcast protocols for VANETs. Veh. Commun. 12, 88–109 (2018)

    Google Scholar 

  3. Sommer, C.; Eckhoff, D.; German, R.; Dressler, F.: A computationally inexpensive empirical model of IEEE 802.11p radio shadowing in urban environments. In: 2011 8th International Conference on Wireless On-Demand Network Systems and Services 2011, pp. 84–90 (2011)

  4. Liu, X.T.; Hu, B.J.; Wei, Z.H.; Zhu, Z.X.: A congestion-aware GPCR routing protocol for vehicular ad hoc network in urban scenarios. In: 2017 9th IEEE International Conference on Communication Software and Networks 2017, vol. 2017–January, pp. 166–170 (2017)

  5. Nebbou, T.; Fouchal, H.; Lehsaini, M.; Ayaida, M.: A cooperative location service for VANETs. In: ProceedingIEEE Symposium on Computers and Communications, Pediswesa, pp. 54–58 (2017)

  6. Guedes, B.F.; Campos, C.A.V.: A data aggregation scheme for traffic information systems in urban VANETs. In: IEEE 19th International Conference on Intelligent Transportation Systems ITSC, pp. 564–569 (2016)

  7. Nanjie, L.: Internet of Vehicles: Your Next Connection. Huawei WinWin, Shenzhen (2011)

    Google Scholar 

  8. Bonomi, F.: The smart and connected vehicle and the internet of things. Synchronization Telecommun. Syst. 2013, 1–53 (2013)

    Google Scholar 

  9. Wan, J.; Zhang, D.; Zhao, S.; Yang, L.; Lloret, J.: Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions. IEEE Commun. Mag. 52(8), 106–113 (2014)

    Article  Google Scholar 

  10. Kaiwartya, O.; et al.: Internet of Vehicles: motivation, layered architecture, network model, challenges, and future aspects. IEEE Access 4, 5356–5373 (2016)

    Article  Google Scholar 

  11. Gandotra, P.; Kumar Jha, R.; Jain, S.: A survey on device-to-device (D2D) communication: architecture and security issues. J. Netw. Comput. Appl. 78, 9–29 (2017)

    Article  Google Scholar 

  12. Farooq, M.U.; Pasha, M.; Khan, K.U.R.: A data dissemination model for cloud enabled VANETs using in-vehicular resources. In: 2014 International Conference on Computing for Sustainable Global Development INDIACom’14, pp. 458–462 (2014)

  13. Rakkesh, S.T.; Weerasinghe, A.R.; Ranasinghe, R.A.C.: A decentralized vehicle re-routing approach using vehicular ad hoc networks. In: 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions, pp. 201–207 (2016)

  14. Bhavsar, P.; Chowdhury, M.; He, Y.; Rahman, M.: A network wide simulation strategy of alternative fuel vehicles. Transp. Res. Part C Emerg. Technol. 40, 201–214 (2014)

    Article  Google Scholar 

  15. El Sibai, R.; Atechian, T.; Abdo, J.B.; Demerjian, J.; Tawil, R.: A new software-based service provision approach for vehicular cloud. In: 2015 Global Summit on Computer and Information Technology (GSCIT) (2015)

  16. Noori, H.; Olyaei, B.B.: A novel study on beaconing for VANET-based vehicle to vehicle communication: probability of beacon delivery in realistic large-scale urban area using 802.11p. In: 2013 International Conference on Smart Communications in Network Technologies SaCoNeT 2013, vol. 1 (2013)

  17. Tyagi P.; Dembla, D.: A secured routing algorithm against black hole attack for better intelligent transportation system in vehicular ad hoc network. Int. J. Inf. Technol. 1–7 (2018)

  18. Almutairi, H.; Chelloug, S.; Alqarni, H.; Aljaber, R.; Alshehri, A. and Alotaish, D.: A new black hole detection scheme for vanets. In: Proceedings of the 6th International Conference on Management of Emergent Digital EcoSystems MEDES’14, vol. 1, pp. 133–138 (2014)

  19. Qin, Z.; Denker, G.; Giannelli, C.; Bellavista, P.; Venkatasubramanian, N.: A software defined networking architecture for the internet-of-things. IEEE/IFIP NOMS’14—IEEE/IFIP Network Operations and Management Symposium, 2014.

  20. Cardote, A.; Neves, F.; Sargento, S.; Steenkiste, P.: A statistical channel model for realistic simulation in VANET. In: IEEE Vehicular Networking Conference VNC, pp. 48–55 (2012)

  21. Martinez, F.J.; Toh, C.K.; Cano, J.C.; Calafate, C.T.; Manzoni, P.: A survey and comparative study of simulators for vehicular ad hoc networks (VANETs). Wirel. Commun. Mob. Comput 11(7), 813–828 (2011)

    Article  Google Scholar 

  22. Jia, D.; Lu, K.; Wang, J.; Zhang, X.; Shen, X.: A survey on platoon-based vehicular cyber-physical systems. IEEE Commun. Surv. Tutor. 18(1), 263–284 (2016)

    Article  Google Scholar 

  23. Nimje, T.G.; Dorle, S.S.: A survey on various mobility models to improve realistic simulation and accuracy of IVC protocols. In: 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology ICE-CCN’13, pp. 245–249 (2013).

  24. Whaiduzzaman, M.; Sookhak, M.; Gani, A.; Buyya, R.: A survey on vehicular cloud computing. J. Netw. Comput. Appl. 40(1), 325–344 (2014)

    Article  Google Scholar 

  25. Singh, A.V.; Bhasin, J.S.: A variable speed limit (VSL) based model for advanced traffic management through VANETs. In: 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA) 2016, pp. 533–538 (2016).

  26. Eze, E.C., et al.: Advances in vehicular ad hoc networks (VANETs): challenges and road-map for future development. Int. J. Autom. Comput. 13(1), 1–18 (2016)

    Article  MathSciNet  Google Scholar 

  27. Lalitha, R.V.S.; JayaSuma, G.: Alleviating the effect of security vulnerabilities in VANETs through proximity sensors. In: Advances in Intelligent Systems and Computing (2015)

  28. Suriyapaiboonwattana, K.; Pornavalai, C.; Chakraborty, G.: An adaptive alert message dissemination protocol for VANET to improve road safety. In: EEE International Conference on Fuzzy Systems, pp. 1639–1644 (2009)

  29. Lalitha, R.V.S.; Suma, G.J.: An adaptive approach for RFID based data dissemination in VANETs through ABC algorithm using android mobiles. In: 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology ICAIET’14, pp. 298–303 (2015)

  30. García-Magariño, I.; Palacios-Navarro, G.; Lacuesta, R.; Lloret, J.: ABSCEV: an agent-based simulation framework about smart transportation for reducing waiting times in charging electric vehicles. Comput. Netw. 138, 119–135 (2018)

    Article  Google Scholar 

  31. Yanagida, R.; Obara, K.; Ogawa, K.; Shigeno, H.: An analysis of road maps based on voronoi diagram for vehicular broadcast. In: Proceedings2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications BWCCA’15, pp. 150–156 (2015)

  32. Hadiwardoyo, S.A.; Patra, S.; Calafate, C.T.; Cano, J.C.; Manzoni, P.: An android ITS driving safety application based on vehicle-to-vehicle (V2V) communications. In 2017 26th International Conference on Computer Communication and Networks (ICCCN), pp. 1–6 (2017)

  33. Yang, S.; He, R.; Li, S.; Lin, B.; Wang, Y.: An improved geographical routing protocol and its OPNET-based simulation in VANETs. In: Proceedings 2014 7th International Conference on Biomedical Engineering and Informatics BMEI’14, pp. 913–917 (2014)

  34. Choudhury, A.; Maszczyk, T.; Math, C.B.; Li, H.; Dauwels, J.: An integrated simulation environment for testing V2X protocols and applications. Proc. Comput. Sci. 80, 2042–2052 (2016)

    Article  Google Scholar 

  35. Yang, F.; Wang, S.; Li, J.; Liu, Z.; Sun, Q.: An overview of Internet of Vehicles. China Commun. 11(10), 1–15 (2014)

    Article  Google Scholar 

  36. Tomar, R.; Prateek, M.; Sastry, H.G.: Analysis of beaconing performance in IEEE 802.11p on vehicular ad hoc environment. In: 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics, UPCON’17 (2018)

  37. Tarapiah, S.; Aziz, K.; Atalla, S.: Analysis the Performance of Vehicles Ad Hoc Network. Proceedings Comput. Sci. 124, 682–690 (2017)

    Article  Google Scholar 

  38. Suresh, V.; Nirmalrani, V.: Android based vehicle diagnostics and early fault estimation system. In: 2014 International Conference on Computation of Power, Energy, Information and Communication ICCPEIC’14, pp. 417–421 (2014)

  39. Chen, M.C.; Chen, J.L.; Chang, T.W.: Android/OSGi-based vehicular network management system. Comput. Commun. 34(2), 169–183 (2011)

    Article  Google Scholar 

  40. Mitra, G.; Chowdhury, C.; Neogy, S.: Application of mobile agent in VANET for measuring environmental data. In: Proceedings 2014 Applications and Innovations in Mobile Computing AIMoC’14, pp. 48–53 (2014)

  41. Yang, F.; Li, J.; Lei, T.; Wang, S.: Architecture and key technologies for Internet of Vehicles: a survey. J. Commun. Inf. Networks 2(2), 1–17 (2017)

    Article  Google Scholar 

  42. Riebl, R.; Günther, H.J.; Facchi, C.; Wolf, L.: Artery: extending veins for VANET applications. In: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems MT-ITS’15, pp. 450–456 (2015)

  43. Ibrahim, K.; Weigle, M.C.: ASH: application-aware SWANS with highway mobility. In: Proceedings—IEEE INFOCOM (2008)

  44. Lugayizi, F.L.; Esiefarienrhe, B.M.; Warren, A.: Comparative evaluation of QoS routing in VANET. In: Proceedings 2016 International Conference on Advances in Computing and Communication Engineering ICACCE’16, pp. 183–188 (2017)

  45. Sommer, C.; German, R.; Dressler, F.: Bidirectionally coupled network and road simulation for improved IVC analysis. IEEE Trans. Mob. Comput. 10(1), 3–15 (2011)

    Article  Google Scholar 

  46. Buse, D.S.; Schettler, M.; Kothe, N.; Reinold, P.; Sommer, C.; Dressler, F.: Bridging worlds: integrating hardware-in-the-loop testing with large-scale VANET simulation. In: 2018 14th Annual Conference on Wireless On-demand Network Systems and Services—Proceedings, vol. 2018–January, pp. 33–36 (2018)

  47. Araújo, G.B.; Queiroz, M.M.; de LP Duarte-Figueiredo, F.; Tostes, A.I.; Loureiro, A.A.: CARTIM: a proposal toward identification and minimization of vehicular traffic congestion for VANET. In: Proceedings—International Symposium Computer Communication (2014)

  48. Yu, B.; Gong, J.; Xu, C.Z.: Catch-up: a data aggregation scheme for vanets. In: Proceedings fifth ACM international workshop on VehiculAr Inter-NETworking VANET’08 (2008)

  49. Lim, J.M.Y.; Chang, Y.C.; Alias, M.Y.; Loo, J.: Cognitive VANET with enhanced priority scheme. In: 2014 International Conference on Telecommunications and Multimedia, TEMU’14, pp. 116–121 (2014)

  50. Ahmed, M.S.; Hoque, M.A.; Pfeiffer, P.: Comparative study of connected vehicle simulators. In: Conference Proceedings—IEEE SOUTHEASTCON, 2016 (2016).

  51. Temdee, P.; Prasad, R.: Context-Aware Communication and Computing: Applications for Smart Environment, pp. 127–148. Springer, Berlin (2018)

    Book  Google Scholar 

  52. Mugabarigira, B.A.; Shen, Y.C.; Jeong, J.P.; Oh, T.T.; Son, S.H.: Design and implementation of vehicular network simulator for data forwarding scheme evaluation. In: Proceedings—31st IEEE International Conference on Advanced Information Networking and Applications Workshops WAINA’17, pp. 365–369 (2017)

  53. Kazmi, A.; Khan, M.A.; Akram, M.U.: DeVANET: decentralized software-defined VANET architecture. In: Proceedings—2016 IEEE International Conference on Cloud Engineering Workshop. IC2EW’16, pp. 42–47 (2016)

  54. So, J.J.; Dedes, G.; Park, B.B.; HosseinyAlamdary, S.; Grejner-Brzezinsk, D.: Development and evaluation of an enhanced surrogate safety assessment framework. Transp. Res. Part C Emerg. Technol. 50, 51–67 (2015)

    Article  Google Scholar 

  55. Milojevic, M.; Rakocevic, V.: Distributed road traffic congestion quantification using cooperative VANETs. In: 2014 13th Annual Mediterranean Ad Hoc Networking Workshop, MED-HOC-NET’14, pp. 203–210 (2014)

  56. Fernandes, R.; D’Orey, P.M.; Ferreira, M.: Divert for realistic simulation of heterogeneous vehicular networks. In: 2010 IEEE 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems MASS’10, pp. 721–726 (2010)

  57. Laura, B.; Daniel, K: Evaluation of opening bus lanes for private traffic triggered via V2X communication. In: 2011 IEEE Forum on Integrated and Sustainable Transportation Systems FISTS 2011, vol.2010, pp. 48–53 (2011)

  58. Härri, J.: And Safe Mobility with iTETRIS, p. 5

  59. Piñol, P.; Torres, A.; López, O.; Martinez, M.; Malumbres, M.P.: Evaluating HEVC video delivery in VANET scenarios. In 2013 IFIP Wireless Days (WD), pp. 1–6 (2013)

  60. Bonomi, F.; Milito, R.; Zhu, J.; Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing—MCC’12 (2012)

  61. Smiri, S.; Boushaba, A.; Abbou, R.B.; Zahi, A.: Geographic and topology based routing protocols in vehicular ad hoc networks: performance evaluation and QoS analysis. In: 2018 International Conference on Intelligent Systems and Computer Vision, ISCV’18, pp. 1–8 (2018)

  62. Zulkefli, M.A.M.; Mukherjee, P.; Sun, Z.; Zheng, J.; Liu, H.X.; Huang, P.: Hardware-in-the-loop testbed for evaluating connected vehicle applications”. Transp. Res. Part C Emerg. Technol. 78, 50–62 (2017)

    Article  Google Scholar 

  63. Medani, K.; Aliouat, M.; Aliouat, Z.: High velocity aware clocks synchronization approach in vehicular ad hoc networks. In: IFIP Advances in Information and Communication Technology (2015)

  64. Saini, M.; Alelaiwi, A.; El Saddik, A.: How close are we to realizing a pragmatic VANET Solution? A meta-survey. ACM Comput. Surv. 48(2), 1–40 (2015)

    Article  Google Scholar 

  65. Guériau, M.; Billot, R.; El Faouzi, N.E.; Monteil, J.; Armetta, F.; Hassas, S.: How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies. Transp. Res. Part C Emerg. Technol. 67, 266–279 (2016)

    Article  Google Scholar 

  66. Rios-Torres, J.; Malikopoulos, A.A.: Impact of partial penetrations of connected and automated vehicles on fuel consumption and traffic flow. IEEE Trans. Intell. Veh. 3(4), 453–462 (2018)

    Article  Google Scholar 

  67. Noori, H.; Valkama, M.: Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles travelling time in realistic large scale urban area. In: 2013 International Conference on Connected Vehicles and Expo, ICCVE’13—Proceedings (2013)

  68. Basagni, S.; Conti, M.; Giordano, S.; Stojmenovic, I. (eds.): Mobile Ad Hoc Networking. Wiley, Hpboken (2004)

    MATH  Google Scholar 

  69. Patil, P.; Gokhale, A.: Improving the reliability and availability of vehicular communications using voronoi diagram-based placement of road side units. In: Proceedings IEEE Symposium on Reliable Distributed Systems, pp. 400–401 (2012)

  70. Markert, D.; Parsch, P.; Masrur, A.: Using probabilistic estimates to guarantee reliability in crossroad VANETs. In: DIVANet 2017—Proceedings 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications Co-located with MSWiM’17, pp. 135–142 (2017)

  71. Kato, S.; Takeuchi, E.; Ishiguro, Y.; Ninomiya, Y.; Takeda, K.; Hamada, T.: An open approach to autonomous vehicles. IEEE Micro. 35(6), 60–68 (2015)

    Article  Google Scholar 

  72. Sommer, C.; Dressler, F.: Progressing toward realistic mobility models in VANET simulations. IEEE Commun. Mag. 46(11), 132–137 (2008)

    Article  Google Scholar 

  73. Bandi, A.; Chandrashekhar, B.N.: Parameters tuning of OLSR routing protocol with metaheuristic algorithm for VANET. In: Souvenir 2015 IEEE International Advance Computing Conference IACC’15, pp. 1207–1212 (2015)

  74. Gashaw, S. and Härri, J.: V2X data dissemination delay for vehicular traffic density estimations. In: Proceedings WoWMoM 2015 A World of Wireless, Mobile and Multimedia Networks, vol. 318622 (2015)

  75. Ibáñez, J.A.G.; Zeadally, S.; Contreras-Castillo, J.: Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wirel. Commun. 22(6), 122–128 (2015)

    Article  Google Scholar 

  76. Gunther, H.J.; Trauer, O.; Wolf, L.: The potential of collective perception in vehicular ad hoc networks. In: 2015 14th International Conference on ITS Telecommunications ITST’15, pp. 1–5 (2016)

  77. Kumar, A.; Kaushik, S.K.; Sharma, R.; Raj, P.: Simulators for wireless networks: a comparative study. In: Proceedings Turing 100 International Conference on Computing Sciences ICCS’12, pp. 338–342 (2012)

  78. Mann, I.R.; Milling, D.K.; Rae, I.J.; Ozeke, L.G.; Kale, A.; Kale, Z.C.; Lee, E.A.: The upgraded CARISMA magnetometer array in the THEMIS era. Space Sci. Rev. 141(1–4), 413–451 (2008)

    Article  Google Scholar 

  79. Outay, F.; Kammoun, F.; Kaisser, F.; Atiquzzaman, M.: Towards safer roads through cooperative hazard awareness and avoidance in connected vehicles. In: Proceedings—31st IEEE International Conference on Advanced Information Networking and Applications Workshops WAINA’17, pp. 208–215 (2017)

  80. Salahuddin, M.A.; Al-Fuqaha, A.; Guizani, M.: Software-defined networking for RSU clouds in support of the Internet of Vehicles. IEEE Internet Things J. 2(2), 133–144 (2015)

    Article  Google Scholar 

  81. Segata, M.; Joerer, S.; Bloessl, B.; Sommer, C.; Dressler, F.; Cigno, R.L.: Plexe: a platooning extension for Veins. In: IEEE Vehicular Networking Conference VNC, vol. 2015–Januaey, pp. 53–60 (2015)

  82. Sharma, P.; Liu, H.; Wang, H.; Zhang, S.:Securing wireless communications of connected vehicles with artificial intelligence. In: 2017 IEEE International Symposium on Technologies for Homeland Security HST’17 (2017)

  83. Stanica, R.; Chaput, E.; Beylot, A.L.: Simulation of vehicular ad hoc networks: challenges, review of tools and recommendations. Comput. Netw. 55(14), 3179–3188 (2011)

    Article  Google Scholar 

  84. Bellavista, P.; Caselli, F.; Foschini, L.: Implementing and evaluating V2X protocols over iTETRIS. In: Proceedings Fourth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications DIVANet’14, pp. 25–32 (2014).

  85. Houssaini, Z.S.; Zaimi, I.; Oumsis, M.; Ouatik, S.E.A.: Improvement of GPSR protocol by using future position estimation of participating nodes in vehicular ad hoc Networks. In: Proceedings—2016 International Conference on Wireless Networks and Mobile Communications WINCOM’16, pp. 87–94 (2016)

  86. Mohamed, SA.; Elsagheer, AN.; Ansari GA.: Precise positioning systems for vehicular ad-hoc networks. arXiv preprint arXiv:1205.1633 (2012)

  87. Nabil, M.; Hajami, A.; Haqiq, A.: Improvement of location aided routing protocol in Vehicular Ad Hoc Networks on highway. In: Proceedings 2015 5th World Congress on Information and Communication Technologies WICT’15, pp. 53–58 (2016)

  88. Yang, S.; He, R.; Wang, Y.; Li, S.; Lin, B.: OPNET-based modelling and simulations on routing protocols in VANETs with IEEE 802.11p. In: 2014 2nd International Conference on Systems and Informatics, ICSAI’14, pp. 536–541 (2015)

  89. Sommer, C.; Yao, Z.; German, R. and Dressler, F.: Simulating the influence of IVC on road traffic using bidirectionally coupled simulators. In: Proceedings—IEEE INFOCOM (2008)

  90. Patil, P.; Gokhale, A.: Maximizing vehicular network connectivity through an effective placement of road side units using Voronoi diagrams. In: Proceedings 2012 IEEE 13th International Conference on Mobile Data Management MDM’12, pp. 274–275 (2012)

  91. Doci, A.; Barolli, L.; Xhafa, F.: MixMobGen: a realistic mixed traffic mobility generator for ad hoc network simulations. In: Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS’09 (2009)

  92. Michoud, R.; Maria Orozco, A.; Llano, Gonzalo.: Mobile ad-hoc routing protocols survey for the design of VANET applications. In: 2012 IEEE Colombian Intelligent Transportation Systems Symposium (CITSS). IEEE, (2012)

  93. Harri, J.; Filali, F.; Bonnet, C.: Mobility models for vehicular ad hoc networks: a survey and taxonomy. In: IEEE Communications Surveys & Tutorials (2009)

  94. Abdelgadir, M.; Saeed, R.A.; Babiker, A.: Mobility routing model for vehicular ad hoc networks (VANETs), smart city scenarios. Veh. Commun. 9, 154–161 (2017)

    Google Scholar 

  95. Ahmadian, A.S.; Peldszus, S.; Ramadan, Q.; Jürjens, J.: Model-based privacy and security analysis with CARiSMA. In: Proceedings 2017 11th Joint Meeting on Foundations of Software Engineering—ESEC/FSE’17, pp. 989–993 (2017)

  96. Härri, J. et al.: Modeling and simulating ITS applications with iTETRIS. In: Proceedings 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks—PM2HW2 N’11, p. 33 (2011)

  97. Liu, H.; Wei, H.; Yao, Z.: Modeling ITS data sources for generating realistic traffic operating parameters for project-level conformity analysis. In: IEEE Conference on Intelligent Transportation Systems Proceedings, ITSC, pp. 1912–1917 (2012)

  98. Noori, H.: Modeling the impact of VANET-enabled traffic lights control on the response time of emergency vehicles in realistic large-scale urban area. In: 2013 IEEE International Conference on Communications Workshops ICC’13, pp. 526–531 (2013)

  99. Agarwal, D.; Sharma, S.A.; Pandey, K.: N-Hop broadcast and street broadcast reduction algorithm using OMNeT++ and Google Earth plugin. In: 2015 8th International Conference on Contemporary Computing IC3’15, pp. 542–547 (2015)

  100. Wang, S.Y. et al.: NCTUns 4.0: an integrated simulation platform for vehicular traffic, communication, and network researches. In: IEEE Vehicular Technology Conference, pp. 2081–2085 (2007)

  101. Wang, S.-Y.; Lin, C.-C.: NCTUns 6.0: a simulator for advanced wireless vehicular network research. In: IEEE 71st Vehicular Technology Conference VTC’10, Spring 2010, pp. 10–11 (2010)

  102. Leng, Y.; Zhao, L.: Novel design of intelligent internet-of-vehicles management system based on cloud-computing and Internet-of-Things. In: Proceedings 2011 International Conference on Electronic and Mechanical Engineering and Information Technology EMEIT’11, vol. 6, pp. 3190–3193 (2011)

  103. Sommer, C.; Joerer, S.; Dressler, F.: On the applicability of two-ray path loss models for vehicular network simulation, pp. 64–69 (2012)

  104. Sommer, C.; Yao, Z.; German, R.; Dressler, F.: On the need for bidirectional coupling of road traffic microsimulation and network simulation. In: Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models—MobilityModels’08, p. 41 (2008)

  105. Ali, K.A.; Baala, O.; Caminada, A.: On the spatiotemporal traffic variation in vehicle mobility modelling. IEEE Trans. Veh. Technol. 64(2), 652–667 (2015)

    Article  Google Scholar 

  106. Arellano, W.; Mahgoub, I.: TrafficModeler extensions: a case for rapid VANET simulation using, OMNET++, SUMO, and VEINS. In: 2013 High Capacity Optical Networks and Emerging/Enabling Technologies HONET-CNS’13, pp. 109–115 (2013)

  107. Mrityunjaya, D.H.; Laxmikant, N.K.; Ali, S.; Kelagadi, H.M.: Smart transportation. In: Proceedings International Conference IoT Society Mobile, Analysis. Cloud, I-SMAC’17, February, pp. 1–5 (2017).

  108. Sumayya, P.A.; Shefeena, P.S.: Vanet based vehicle tracking module for safe and efficient road transportation system. Proc. Comput. Sci. 46, 1173–1180 (2015)

    Article  Google Scholar 

  109. Tarapiah, S.; Aziz, K.; Atalla, S.: Analysis the performance of vehicles ad hoc network. Proc. Comput. Sci. 124, 682–690 (2017)

    Article  Google Scholar 

  110. Bastani, S.; Ozalla, D.T.; Karaca, M.: On the performance of vehicular communications with a measurement-based radio propagation model. In: International Workshop on Computer Aided Modelling and Design of Communication Links Networks, CAMAD, pp. 6–11 (2016)

  111. Priya, K.; Malhotra, J.: On the selection of efficient routing protocol for 802.11p interface in VANET. In: Proceedings 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I’16, pp. 617–622 (2016)

  112. Priya, K.; Malhotra, J.: On the selection of mobility optimised routing protocol for city scenario using multi interface car in VANET. In: 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI’16 (2016)

  113. Cheng, N.; Lu, N.; Zhang, N.; Shen, X.S.; Mark, J.W.: Opportunistic WiFi offloading in vehicular environment A queueing analysis.pdf. In: 2014 IEEE Global Communications Conference, pp. 211–216 (2014)

  114. Priya, K.; Malhotra, J.: Optimisation of MAC layer to mitigate the effect of increased mobility in VANET. In: Proceedings 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I’16, pp. 623–628 (2016)

  115. Orozco, O.A.; Ramírez, G.L.: OSA: a VANET application focused in energy efficiency. In: 2014 IEEE Colombian Conference on Communications and Computing COLCOM’14 (2014)

  116. Viriyasitavat, W.; Midtrapanon, S.; Rittirat, T.; Thanumaiweerakun, S.: Performance analysis of android-based real-time message dissemination in VANETs. In: 2016 International Conference on Computing, Networking and Communications ICNC 2016 (2016)

  117. Sharma, K.; Malhotra, J.; Sharma, R.: Performance evaluation of ADV DSR & GOD in VANET for city & highway scenario. In: 2015 1st International Conference on Futuristic Trends on Computational Analysis and Knowledge Management ABLAZE’15, pp. 388–393 (2015)

  118. Ramadhani, P.E.; Setiawan, M.D.; Yutama, M.A.; Perdana, D.; Sari, R.F.: Performance evaluation of hybrid wireless mesh protocol (HWMP) on VANET using VanetMobiSim. In: 2016 International Conference on Computational Intelligence and Cybernetics, pp. 41–46 (2017)

  119. Ir, P.; Fitri, R.; Sc, M.: Pemberian penghargaan penulis conference paper performance evaluation of PUMA routing protocol for Manhattan mobility model on vehicular ad hoc network, pp. 80–84 (2015)

  120. Maratha, B.P.; Sheltami, T.R.; Salah, K.: Performance study of MANET routing protocols in VANET. Arab. J. Sci. Eng. 42(8), 3115–3126 (2017)

    Article  Google Scholar 

  121. Avcil, M.N.; Soyturk, M.: ReSCUE: relatively stable clustering for unbiased environments in VANETs. In: IWCMC 2015—11th International Wireless Communications and Mobile Computing Conference, pp. 1049–1055 (2015)

  122. Wang, W.; Xie, F.; Chatterjee, M.: Small-scale and large-scale routing in vehicular ad hoc networks. IEEE Trans. Veh. Technol. 58(9), 5200–5213 (2009)

    Article  Google Scholar 

  123. De Martini, L.; Härri, J.: Short paper: design and evaluation of a multi-channel mechanism for vehicular service management at 5.9 GHz. In: IEEE Vehicular Networking Conference VNC, pp. 178–181 (2013)

  124. Mussa, S.A.B.; Manaf, M.; Ghafoor, K.Z.; Doukha, Z.: Simulation tools for vehicular ad hoc networks: a comparison study and future perspectives. In: International Conference on Wireless Networks and Mobile Communications WINCOM 2015 (2016)

  125. Hrizi, F.; Filali, F.: simITS: an integrated and realistic simulation platform for vehicular networks. In: Network, pp. 32–36 (2010)

  126. Alioua, A.; Senouci, S.M.; Moussaoui, S.; Sedjelmaci, H.; Boualouache, A.: Software-defined heterogeneous vehicular networks: taxonomy and architecture. In: 2017 Global Information Infrastructure and Networking Symposium GIIS’17, vol. 2017–Decem, pp. 50–55 (2017)

  127. Bendouma, A.; Bensaber, B.A.: RSU authentication by aggregation in VANET using an interaction zone. In: IEEE International Conference on Communications, pp. 1–6 (2017)

  128. Boualouache, A.; Senouci, S.M.; Moussaoui, S.: Towards an efficient pseudonym management and changing scheme for vehicular ad hoc networks. In: 2016 IEEE Global Communications Conference GLOBECOM’16—Proceedings (2016)

  129. Das, S.; Das, I.; Purkayastha, B.S.; Raw, R.S.; Sahana, S.: Effect of traffic density patterns on the performance of routing protocols for VANETs. In: International Conference on Computing, Communication & Automation ICCCA’15, pp. 498–501 (2015)

  130. Joerer, S.; Sommer, C.; Dressler, F.: Toward reproducibility and comparability of IVC simulation studies: a literature survey. IEEE Commun. Mag. 50(10), 82–88 (2012)

    Article  Google Scholar 

  131. Kasapovic, S.; Banjanovic-Mehmedovic, L.: Simulation VANET Networks on a random and realistic spatial scenario. In: International Conference on Applied Physics, System Science and Computers. pp. pp. 245–-251. Springer, Cham.

    Article  Google Scholar 

  132. Ku, I.; Lu, Y.; Gerla, M.; Ongaro, F.; Gomes, R.L.; Cerqueira, E.: Towards software-defined VANET: architecture and Services, vol. 1, pp. 1–8

  133. Lee, C.H.; Lim, K.G.; Chua, B.L.; Chin, R.K.Y.; Teo, K.T.K.: Progressing toward urban topology and mobility trace for Vehicular Ad Hoc Network (VANET). In: ICOS’16 IEEE Conference on Open Systems, pp. 120–125 (2017)

  134. Spaho, E.; Barolli, L.; Mino, G.; Xhafa, F.; Kolici, V.: VANET simulators: a survey on mobility and routing protocols. In: Proceedings—2011 International Conference on Broadband and Wireless Computing, Communication and Applications BWCCA’11, pp. 1–10 (2011)

  135. Wang, R.; Zhang, H.; Larsson, T.: Region-based Geocast routing protocols for VANETs: summary, evaluation methods and simulation models. In: 2014 International Conference on Connected Vehicles and Expo, ICCVE’14—Proceedings, pp. 731–738 (2014)

  136. Ebers, S.; Fischer, S.: Poster: adapter framework for VANET simulators. In: IEEE Vehicular Networking Conference VNC, vol. 2015–January, pp. 193–194 (2015).

  137. Suma, G.J.; Lalitha, R.V.S.: Revitalizing VANET communication using bluetooth devices. In: Advances in Intelligent Systems and Computing (2016).

  138. Cheng, J.; Cheng, J.; Zhou, M.; Liu, F.; Gao, S.; Liu, C.: Routing in Internet of Vehicles: a review. IEEE Trans. Intell. Transp. Syst. 16(5), 2339–2352 (2015)

    Article  Google Scholar 

  139. Cha, S-H.; Lee, K-W.; Ryu, M-W.: Routing protocol considerations for vehicle to vehicle. Communication through mobility pattern analysis, computer applications for modeling, simulation, and automobile. pp. 136–142. Springer, Berlin, Heidelberg

  140. Anjum, N.; Badruddin, N.; Drieberg, M.: Simulation of traffic congestion detection using VANETs. In: 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS). IEEE (2014)

  141. Chen, L.; Wei, S.; Shi, L.: Simulation of vehicular ad hoc networks with real city scenes. In: 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN’11, pp. 163–166 (2011)

  142. Hou, Y.; et al.: Simulation-based testing and evaluation tools for transportation cyber-physical systems. IEEE Trans. Veh. Technol. 65(3), 1098–1108 (2016)

    Article  Google Scholar 

  143. Seçinti, G.; Canberk, B.; Duong, T.Q.; Shu, L.: Software defined architecture for VANET: a testbed implementation with wireless access management. IEEE Commun. Mag. 55(7), 135–141 (2017)

    Article  Google Scholar 

  144. Spadaro, S. et al.; The CARISMA ASON/GMPLS network: overview and open issues. In: Proceedings 2007 9th International Conference on Transparent Optical Networks, Ict. 2007, vol.3, pp. 18–21 (2007)

  145. Häberle, T.; Charissis, L.; Fehling, C.; Nahm, J.; Leymann, F.: The connected car in the cloud: a platform for prototyping telematics services. IEEE Softw. 32(6), 11–17 (2015)

    Article  Google Scholar 

  146. Mallissery, S.; Pai, M.M.; Ajam, N.; Pai, R.M.; Mouzna, J.: Transport and traffic rule violation monitoring service in ITS: a secured VANET cloud application. In: 2015 12th Annual IEEE Consumer Communications and Networking Conference CCNC’15, pp. 213–218 (2015)

  147. Tavakoli, R.; Nabi, M.: TIGeR: a traffic-aware intersection-based geographical routing protocol for Urban VANETs. In: IEEE Vehicular Technology Conference (2013)

  148. Feng, H.; Zhang, J.; Wang, J.; Xu, Y.: Time evolution of the importance of nodes in VANET based on temporal networks. In: 2017 3rd IEEE International Conference on Computer and Communications ICCC’17, vol. 2018–January, pp. 1210–1214 (2018)

  149. Alam, K.M.; Saini, M.; El Saddik, A.: Toward social Internet of Vehicles: concept, architecture, and applications. IEEE Access 3, 343–357 (2015)

    Article  Google Scholar 

  150. Báguena, M.; Calafate, C.T.; Cano, J.C.; Manzoni, P.: Towards realistic vehicular network simulation models. In: IFIP Wireless Days, pp. 12–14 (2012)

  151. Piorkowski, M.; Raya, M.; Lugo, A.L.; Papadimitratos, P.; Grossglauser, M.; Hubaux, J.P.: TraNS: realistic joint traffic and network simulator for VANETs. ACM SIGMOBILE Mob. Comput. Commun. Rev 12(1), 31–33 (2008)

    Article  Google Scholar 

  152. Báguena, M.; Tornell, S.M.; Torres, Á.; Calafate, C.T.; Cano, J.C.; Manzoni, P.: VACaMobil: VANET car mobility manager for OMNeT++. In: 2013 IEEE International Conference on Communications Workshops ICC’13, pp. 1057–1061 (2013)

  153. Tiwari, P; Singh Kushwah, R.: Traffic analysis for VANET using WAVE and WiMAX. In: 2015 International Conference on Communication Networks (ICCN). IEEE (2015)

  154. Bitam, S.; Mellouk, A.; Zeadally, S.: VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks. IEEE Wirel. Commun. 22(1), 96–102 (2015)

    Article  Google Scholar 

  155. Butt, T.A.; Iqbal, R.; Shah, S.C.; Umar, T.: Social Internet of Vehicles: architecture and enabling technologies. Comput. Electr. Eng. 69(May), 68–84 (2018)

    Article  Google Scholar 

  156. Mohamed, S.E.; Nasr, A.; Ansari, G.: Precise positioning systems for vehicular ad-hoc networks. Int. J. Wirel. Mob. Networks 4(2), 251–265 (2012)

    Article  Google Scholar 

  157. Heng, J.; Pan, Y.; Wang, L.: Usability analysis of ECC and AE cryptosystems for internet of vehicle (IOV). Proceedings 2017 International Conference on Information Technology—ICIT 2017, pp. 162–166 (2017).

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Authors and Affiliations

  1. College of Computer Information Technology, American University in the Emirates, Dubai International Academic City, Dubai, UAE

    Adel Khelifi

  2. Computer Science Department, College of Sciences, University of Sharjah, Sharjah, UAE

    Manar Abu Talib

  3. Computer Engineering, College of Engineering, University of Sharjah, Sharjah, UAE

    Douae Nouichi & Mohamed Salah Eltawil

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  1. Adel Khelifi
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  2. Manar Abu Talib
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  3. Douae Nouichi
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  4. Mohamed Salah Eltawil
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Khelifi, A., Abu Talib, M., Nouichi, D. et al. Toward an Efficient Deployment of Open Source Software in the Internet of Vehicles Field. Arab J Sci Eng 44, 8939–8961 (2019). https://doi.org/10.1007/s13369-019-03870-2

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