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Big Data, the Internet of Things, and Smart City Research: A Literature Review and Research Agenda

  • Samuel Fosso WambaEmail author
  • Messina Ntede Cécile Angéla
  • Etoa Etoa Jean Bosco
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 532)

Abstract

This study aims at providing a literature review of big data, the Internet of Things, and Smart cities research using SCOPUS, which is considered as the largest abstract and citation database of peer-reviewed literature. The research identified 143 relevant papers. The analyses of distribution of papers by year of publication, subject area, country, type, top 10 authors, and source are presented and discussed. A research agenda for future research is provided.

Keywords

Big data Internet of things Smart cities Literature review 

References

  1. 1.
    United Nations, World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352) (United Nations, Department of Economic and Social Affairs, Population Division, 2014)Google Scholar
  2. 2.
    A. Sarkar, Significance of smart cities in 21st Century: an international business perspective FOCUS. J. Int. Bus. 2(2) (2016).Google Scholar
  3. 3.
    L. Zhuhadar et al., The next wave of innovation—review of smart cities intelligent operation systems. Comput. Hum. Behav. 66, 273–281 (2017)Google Scholar
  4. 4.
    G. Graham, Smart cities and operations management. Prod. Plan. Control 27(6), 431–432 (2016)Google Scholar
  5. 5.
    M. Kumar et al., How will smart city production systems transform supply chain design: a product-level investigation. Int. J. Prod. Res. 54(23), 7181–7192 (2016)Google Scholar
  6. 6.
    R.G. Hollands, Will the real smart city please stand up? City 12(3), 303–320 (2008)Google Scholar
  7. 7.
    Z. Liu, Research on the Internet of Things and the development of smart city industry based on big data. Clust. Comput. 21, 789–795 (2017)Google Scholar
  8. 8.
    I.A.T. Hashem et al., The role of big data in smart city. Int. J. Inf. Manag. 36(5), 748–758 (2016)Google Scholar
  9. 9.
    B. Ahlgren, M. Hidell, E.C.H. Ngai, Internet of things for smart cities: interoperability and open data. IEEE Internet Comput. 20(6), 52–56 (2016)Google Scholar
  10. 10.
    B. Nathali Silva, M. Khan, K. Han, Big data analytics embedded smart city architecture for performance enhancement through real-time data processing and decision-making. Wirel. Commun. Mob. Comput. 2017, 12 (2017)Google Scholar
  11. 11.
    R.K.R. Kummitha, N. Crutzen, How do we understand smart cities? An evolutionary perspective. Cities 67, 43–52 (2017)Google Scholar
  12. 12.
    F.J. Riggins, S. Fosso Wamba, in Research Directions on the Adoption, Usage, and Impact of the Internet of Things Through the Use of Big Data Analytics. 48th Hawaii International Conference on System Sciences, 2015, Hawaii, USAGoogle Scholar
  13. 13.
    E.W.T. Ngai, F.K.T. Wat, A literature review and classification of electronic commerce research. Inf. Manag. 39(5), 415–429 (2002)Google Scholar
  14. 14.
    S. Fosso Wamba, A. Anand, L. Carter, A literature review of RFID-enabled healthcare applications and issues. Int. J. Inf. Manag. 33(5), 875–891 (2013)Google Scholar
  15. 15.
    Scopus. About scopus. 2017 [cited 2017 June 18], https://www.elsevier.com/solutions/scopus
  16. 16.
    A.R. Honarvar, A. Sami, Extracting usage patterns from power usage data of homes’ appliances in smart home using big data platform. Int. J. Inf. Technol. Web. Eng. 11(2), 39–50 (2016)Google Scholar
  17. 17.
    S. Schatzinger, C.Y.R. Lim, Taxi of the future: big data analysis as a framework for future Urban fleets in smart cities, in Smart and Sustainable Planning for Cities and Regions (Springer, Cham, 2017), pp. 83–98Google Scholar
  18. 18.
    A.J. Jara, Y. Bocchi, D. Genoud, in Determining Human Dynamics Through the Internet of Things (IEEE, 2013)Google Scholar
  19. 19.
    Q. Zhang et al., A case study of sensor data collection and analysis in smart city: provenance in smart food supply chain. Int. J. Distrib. Sens. Netw. 9, 382132 (2013)Google Scholar
  20. 20.
    J.P. Agudelo, H.E.C. Barrera, in Approach for a Congestion Charges System Supported on Internet of Things (IEEE Computer Society, 2014)Google Scholar
  21. 21.
    A. Amato, B. Di Martino, S. Venticinque, in Big Data Processing for Pervasive Environment in Cloud Computing (Institute of Electrical and Electronics Engineers Inc., 2014)Google Scholar
  22. 22.
    Z. Chen et al., A novel framework of data sharing and fusion in smart city-SCLDF. Jisuanji Yanjiu yu Fazhan. Comput. Res. Dev. 51(2), 290–301 (2014)Google Scholar
  23. 23.
    M. Fazio, A. Puliafito, M. Villari, IoT4S: a new architecture to exploit sensing capabilities in smart cities. Int. J. Web Grid Serv. 10(2-3), 114–138 (2014)Google Scholar
  24. 24.
    J.A. Galache et al., in ClouT: Leveraging Cloud Computing Techniques for Improving Management of Massive IoT Data (Institute of Electrical and Electronics Engineers Inc., 2014)Google Scholar
  25. 25.
    A.J. Jara, Y. Bocchi, D. Genoud, in Social Internet of Things: The Potential of the Internet of Things for Defining Human Behaviours (Institute of Electrical and Electronics Engineers Inc., 2014).Google Scholar
  26. 26.
    A.J. Jara, D. Genoud, Y. Bocchi, in Short Paper: Sensors Data Fusion for Smart Cities with KNIME: A Real Experience in the SmartSantander Testbed (IEEE Computer Society, 2014)Google Scholar
  27. 27.
    A.J. Jara, D. Genoud, Y. Bocchi, in Big Data in Smart Cities: From Poisson to Human Dynamics (IEEE Computer Society, 2014)Google Scholar
  28. 28.
    M.N. Kamel Boulos, N.M. Al-Shorbaji, On the Internet of Things, smart cities and the WHO Healthy Cities. Int. J. Health Geogr. 13, 10 (2014)Google Scholar
  29. 29.
    D. Li, Y. Yao, Z. Shao, Big data in smart city. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University 39(6), 631–640 (2014)Google Scholar
  30. 30.
    T.H. Nguyen, V. Nunavath, A. Prinz, Big data metadata management in smart grids, in Studies in Computational Intelligence (Springer, Berlin, 2014), pp. 189–214Google Scholar
  31. 31.
    K.E. Skouby, P. Lynggaard, in Smart Home and Smart City Solutions Enabled by 5G, IoT, AAI and CoT Services (Institute of Electrical and Electronics Engineers Inc., 2014)Google Scholar
  32. 32.
    S.K. Sowe et al., in Managing Heterogeneous Sensor Data on a Big Data Platform: IoT Services for Data-Intensive Science (Institute of Electrical and Electronics Engineers Inc., 2014)Google Scholar
  33. 33.
    A. Vakali, L. Anthopoulos, S. Krco, in Smart Cities Data Streams Integration: Experimenting with Internet of Things and Social Data Flows (Association for Computing Machinery, 2014)Google Scholar
  34. 34.
    J. Van De Pas, G.J. Van Bussel, in ‘Privacy Lost - and Found?’ Some Aspects of Regaining Citizens’ Privacy by Means of PET in the Age of ‘Data’ (Academic Conferences and Publishing International Limited, 2014)Google Scholar
  35. 35.
    E. van der Zee, H. Scholten, Spatial dimensions of big data: application of geographical concepts and spatial technology to the internet of things, in Studies in Computational Intelligence (Springer, Berlin, 2014), pp. 137–168Google Scholar
  36. 36.
    S. Andreev et al., in 15th International Conference on Next Generation Networks and Systems, NEW2AN 2015 and 8th Conference on Internet of Things, Smart Spaces, ruSMART 2015, ed. by S. Andreev et al. (Springer, 2015), pp. 1–800Google Scholar
  37. 37.
    F. Archetti, I. Giordani, A. Candelieri, Data science and environmental management in smart cities. Environ. Eng. Manag. J. 14(9), 2095–2102 (2015)Google Scholar
  38. 38.
    J. Balicki et al., in Collective Citizens’ Behavior Modelling with Support of the Internet of Things and Big Data (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  39. 39.
    L. Belli et al., in An Open-Source Cloud Architecture for Big Stream IoT Applications, ed. by M. Serrano, I.P. Zarko, K. Pripuzic (Springer, 2015), pp. 73–88Google Scholar
  40. 40.
    D. Bonino et al., in ALMANAC: Internet of Things for Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  41. 41.
    P. Brous, M. Janssen, in A Systematic Review of Impediments Blocking Internet of Things Adoption by Governments, ed. by W. Lamersdorf et al. (Springer, 2015), pp. 81–94Google Scholar
  42. 42.
    B. Cheng et al., in Building a Big Data Platform for Smart Cities: Experience and Lessons from Santander (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  43. 43.
    N. Cherifi et al., in Energy Consumption of Networked Embedded Systems (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  44. 44.
    J.P. Exner, How smart should planning and cities be in the future? gis.Science - Die Zeitschrift fur Geoinformatik 1, 1–10 (2015)Google Scholar
  45. 45.
    C. Formisano et al., in The Advantages of IoT and Cloud Applied to Smart Cities: ClouT User Scenarios and Reference Architecture (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  46. 46.
    J. Gao, L. Lei, S. Yu, in Big Data Sensing and Service: A Tutorial (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  47. 47.
    D. Hill, The street as platform: how digital dynamics shape the physical city. Archit. Des. 85(4), 62–67 (2015)Google Scholar
  48. 48.
    R. Jalali, K. El-Khatib, C. McGregor, in Smart City Architecture for Community Level Services Through the Internet of Things (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  49. 49.
    A.J. Jara, D. Genoud, Y. Bocchi, Big data for smart cities with KNIME a real experience in the SmartSantander testbed. Softw.: Pract. Exp. 45(8), 1145–1160 (2015)Google Scholar
  50. 50.
    C. Kan et al., in Mobile Sensing and Network Analytics for Realizing Smart Automated Systems Towards Health Internet of Things (IEEE Computer Society, 2015)Google Scholar
  51. 51.
    A. Krylovskiy, M. Jahn, E. Patti, in Designing a Smart City Internet of Things Platform with Microservice Architecture (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  52. 52.
    B.N. Lee et al., in Korean Experiences and Lessons Learned from Standardization Framework Activities (Portland State University, 2015)Google Scholar
  53. 53.
    D. Li, in Big Data in Smart City, ed. by Y.J. Zhang (Springer, 2015)Google Scholar
  54. 54.
    D.R. Li, J.J. Cao, Y. Yao, Big data in smart cities. SCIENCE CHINA Inf. Sci. 58(10), 1–12 (2015)Google Scholar
  55. 55.
    W. Li, P. Wang, K. Yang, in Visualizing City Events on Search Engine: Tword the Search Infrustration for Smart City (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  56. 56.
    P. Lynggaard, K.E. Skouby, Deploying 5G-technologies in smart city and smart home wireless sensor networks with interferences. Wirel. Pers. Commun. 81(4), 1399–1413 (2015)Google Scholar
  57. 57.
    A. Medvedev et al., in Reporting Road Problems in Smart Cities Using OpenIoT Framework, ed. by M. Serrano, I. P. Zarko, K. Pripuzic (Springer, Cham, 2015), pp. 169–182Google Scholar
  58. 58.
    M.V. Moreno, A.F. Skarmeta, A.J. Jara, in How to Intelligently Make Sense of Real Data of Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  59. 59.
    N. Narendra et al., in Goal-Driven Context-Aware Data Filtering in IoT-Based Systems (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  60. 60.
    M.M. Rathore, A. Ahmad, A. Paul, in Big Data and Internet of Things: An Asset for Urban Planning (Association for Computing Machinery, 2015)Google Scholar
  61. 61.
    F. Shahzad, T.R. Sheltami, in An Efficient MAC Scheme in Wireless Sensor Network with Energy Harvesting (EHWSN) for Cloud Based Applications (IEEE Computer Society, 2015)Google Scholar
  62. 62.
    M. Strohbach et al., Towards a big data analytics framework for IoT and smart city applications, in Modeling and optimization in science and technologies (Springer, Cham, 2015), pp. 257–282Google Scholar
  63. 63.
    B. Tang et al., in A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities (Association for Computing Machinery, 2015)Google Scholar
  64. 64.
    H. Wang, in Sensing Information Modelling for Smart City (Institute of Electrical and Electronics Engineers Inc., 2015)Google Scholar
  65. 65.
    Y. Zhu, J. Zuo, Research on security construction of smart city. Int. J. Smart Home 9(8), 197–204 (2015)Google Scholar
  66. 66.
    A. Ahmad et al., in Defining Human Behaviors Using Big Data Analytics in Social Internet of Things (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  67. 67.
    F. Alam et al., in Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT) (Elsevier B.V., 2016)Google Scholar
  68. 68.
    A. Alkhamisi, M.S.H. Nazmudeen, S.M. Buhari, in A Cross-Layer Framework for Sensor Data Aggregation for IoT Applications in Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  69. 69.
    A. Alshami, W. Guo, G. Pogrebna, in Fuzzy Partition Technique for Clustering Big Urban Dataset (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  70. 70.
    A. Amato et al., in A Cyber Physical System of Smart Micro-Grids (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  71. 71.
    M. Bawa et al., in Importance of Internet of Things and Big Data in Building Smart City and What Would Be Its Challenges, ed. by V. Krutilova et al. (Springer, Cham, 2016), pp. 605–616Google Scholar
  72. 72.
    D.C. Bogatinoska et al., in Advanced Sensing and Internet of Things in Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  73. 73.
    G. Cerruela García, I. Luque Ruiz, M. Gómez-Nieto, State of the art, trends and future of bluetooth low energy, near field communication and visible light communication in the development of smart cities. Sensors (Basel) 16(11), E1968 (2016)Google Scholar
  74. 74.
    C.I. Chang, C.C. Lo, Planning and implementing a smart city in Taiwan. IT Prof. 18(4), 42–49 (2016)Google Scholar
  75. 75.
    Y.Y. Chang, C.Y. Yu, L.T. Lee, in Research of Vehicle-Mounted Detection and Collision Avoidance System Based on Dedicated Short Range Communications (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  76. 76.
    N. Chen et al., in Dynamic Urban Surveillance Video Stream Processing Using Fog Computing (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  77. 77.
    B.C. Chifor, I. Bica, V.V. Patriciu, Sensing service architecture for smart cities using social network platforms. Soft. Comput. 21, 4513–4522 (2016)Google Scholar
  78. 78.
    C. Costa, M.Y. Santos, in BASIS: A Big Data Architecture for Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  79. 79.
    S.K. Datta et al., in OneM2M Architecture Based IoT Framework for Mobile Crowd Sensing in Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  80. 80.
    M. Díaz, C. Martín, B. Rubio, State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing. J. Netw. Comput. Appl. 67, 99–117 (2016)Google Scholar
  81. 81.
    S. Dupont et al., in Bringing Dynamics to IoT Services with Cloud and Semantic Technologies: An Innovative Approach for Enhancing IoT Based Services (SciTePress, 2016)Google Scholar
  82. 82.
    T. Fendley, What next for legible cities: an assessment of the potential future for urban wayfinding. Inf. Des. J. 22(2), 165–171 (2016)Google Scholar
  83. 83.
    A. Giordano, G. Spezzano, A. Vinci, in Smart Agents and Fog Computing for Smart City Applications, ed. by E. Alba, F. Chicano, G. Luque (Springer, Cham, 2016), pp. 137–146Google Scholar
  84. 84.
    V.H. González-Jaramillo, in Tutorial: Internet of Things and the Upcoming Wireless Sensor Networks Related with the Use of Big Data in Mapping Services; Issues of Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  85. 85.
    A. Gupta et al., Comparitive study on big data architectures proposed for smart cities context. Int. J. Pharm. Technol. 8(4), 25440–25451 (2016)Google Scholar
  86. 86.
    V. Hans, P.S. Sethi, J. Kinra, in An Approach to IoT Based Car Parking and Reservation System on Cloud (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  87. 87.
    J. Huang, M.D. Seck, A. Gheorghe, in Towards Trustworthy Smart Cyber-Physical-Social Systems in the Era of Internet of Things (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  88. 88.
    F.D. Hudson, E.W. Nichols, The internet of things and cognitive computing, in Handbook of Statistics, ed. by V. N. Gudivada et al. (Elsevier B.V., Amsterdam, 2016), pp. 341–373Google Scholar
  89. 89.
    B. Javed et al., in A Provenance Framework for Policy Analytics in Smart Cities (SciTe Press, 2016)Google Scholar
  90. 90.
    E. Kühn, Reusable coordination components: reliable development of cooperative information systems. Int. J. Coop. Inf. Syst. 25(4), 1740001 (2016)Google Scholar
  91. 91.
    V. Kupriyanovsky et al., in On the Digital Economy (CEUR-WS, 2016)Google Scholar
  92. 92.
    J. Lanza et al., Managing large amounts of data generated by a Smart City internet of things deployment. Int. J. Semant. Web Inf. Syst. 12(4), 22–42 (2016)Google Scholar
  93. 93.
    B.P.L. Lau et al., in Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network (Association for Computing Machinery, Inc., 2016)Google Scholar
  94. 94.
    V.J. Lawson, L. Ramaswamy, in TAU-FIVE: A Multi-Tiered Architecture for Data Quality and Energy-Sustainability in Sensor Networks (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  95. 95.
    L. Lenz et al., in How Will the Internet of Things and Big Data Analytics Impact the Education of Learning-Disabled Students? A Concept Paper (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  96. 96.
    D. Li, Towards geo-spatial information science in big data era. Acta Geodaet. Cartographica Sin. 45(4), 379–384 (2016)Google Scholar
  97. 97.
    J. Lloret et al., An integrated IoT architecture for smart metering. IEEE Commun. Mag. 54(12), 50–57 (2016)Google Scholar
  98. 98.
    Z. Lv et al., Virtual reality smart city based on WebVRGIS. IEEE Internet Things J. 3(6), 1015–1024 (2016)Google Scholar
  99. 99.
    M. May, in Towards Industrial Machine Intelligence, ed. by B. Bringmann et al. (Springer, 2016), p. XVIIGoogle Scholar
  100. 100.
    M. Mazhar Rathore, A. Ahmad, A. Paul, in IoT-Based Smart City Development Using Big Data Analytical Approach (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  101. 101.
    A. Medvedev et al., in Storing and Indexing IoT Context for Smart City Applications, ed. by O. Galinina, Y. Koucheryavy, S. Balandin (Springer, Cham, 2016), pp. 115–128Google Scholar
  102. 102.
    G. Merlino et al., in Software Defined Cities: A Novel Paradigm for Smart Cities Through IoT Clouds (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  103. 103.
    M.V. Moreno et al., in Applicability of Big Data Techniques to Smart Cities Deployments (IEEE Transactions on Industrial Informatics, 2016), pp. 800–809Google Scholar
  104. 104.
    V. Moreno-Cano, F. Terroso-Saenz, A.F. Skarmeta-Gomez, in Big Data for IoT Services in Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  105. 105.
    D. Namiot, M. Sneps-Sneppe, in On Internet of Things Programming Models, ed. by K. E. Samouylov et al. (Springer, Cham, 2016), pp. 13–24Google Scholar
  106. 106.
    E. Patti, A. Acquaviva, in IoT Platform for Smart Cities: Requirements and Implementation Case Studies (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  107. 107.
    A. Paul et al., Smartbuddy: defining human behaviors using big data analytics in social internet of things. IEEE Wirel. Commun. 23(5), 68–74 (2016)Google Scholar
  108. 108.
    S. Pirttikangas et al., in Experiences with Smart City Traffic Pilot (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  109. 109.
    E. Psomakelis et al., in Big IoT and Social Networking Data for Smart Cities: Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications (SciTe Press, 2016)Google Scholar
  110. 110.
    M.M. Rathore et al., Urban planning and building smart cities based on the internet of things using big data analytics. Comput. Netw. 101, 63–80 (2016)Google Scholar
  111. 111.
    S. Ristov et al., in Is the Computer Science Curriculum Ready to Teach Students Towards Hardwarizing? (IEEE Computer Society, 2016)Google Scholar
  112. 112.
    C.D.G. Romero, J.K.D. Barriga, J.I.R. Molano, Big Data Meaning in the Architecture of IoT for Smart Cities, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer, Cham, 2016), pp. 457–465Google Scholar
  113. 113.
    R. Sakthivel, V. Parthipan, D. Dhanasekaran, Big data analytics on smart and connected communities using Internet of Things. Int. J. Pharm. Technol. 8(4), 19590–19601 (2016)Google Scholar
  114. 114.
    J.M. Schleicher et al., Application architecture for the internet of cities: blueprints for future smart city applications. IEEE Internet Comput. 20(6), 68–75 (2016)Google Scholar
  115. 115.
    J.M. Schleicher et al., Enabling a smart city application ecosystem: requirements and architectural aspects. IEEE Internet Comput. 20(2), 58–65 (2016)Google Scholar
  116. 116.
    T. Shaikh, S. Ismail, J.D. Stevens, in Aura Minora: A User Centric IOT Architecture for Smart City (Association for Computing Machinery, 2016)Google Scholar
  117. 117.
    L. Shang et al., in Evaluation of High Density GPUs as Sustainable Smart City Infrastructure (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  118. 118.
    Y. Sun et al., Internet of things and big data analytics for smart and connected communities. IEEE Access 4, 766–773 (2016)Google Scholar
  119. 119.
    T.H. Szymanski, Securing the industrial-tactile internet of things with deterministic silicon photonics switches. IEEE Access 4, 8236–8249 (2016)Google Scholar
  120. 120.
    R. Wen et al., in A Smart Cable Management System in Support of the Smart City (Institution of Engineering and Technology, 2016)Google Scholar
  121. 121.
    Y. Wu et al., Smart city with Chinese characteristics against the background of big data: idea, action and risk. J. Clean. Prod. 173, 60 (2018)Google Scholar
  122. 122.
    L. Yu et al., in Intelligent Farm Relaxation for Smart City Based on Internet of Things: Management System and Service Model (SciTe Press, 2016)Google Scholar
  123. 123.
    Q. Zhang et al., in Firework: Big Data Sharing and Processing in Collaborative Edge Environment (Institute of Electrical and Electronics Engineers Inc., 2016)Google Scholar
  124. 124.
    G.R.C. Andrés, in CleanWiFi: The Wireless Network for Air Quality Monitoring, Community Internet Access and Environmental Education in Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  125. 125.
    G. Andrienko et al., in 2016 IEEE Conference on Visual Analytics Science and Technology, VAST 2016 – Proceedings (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  126. 126.
    M.R. Bashir, A.Q. Gill, in Towards an IoT Big Data Analytics Framework: Smart Buildings Systems (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  127. 127.
    D.M. Batista et al., in InterSCity: Addressing Future Internet research challenges for Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  128. 128.
    K. Ben Ahmed et al., in Visual Sentiment Prediction with Transfer Learning and Big Data Analytics for Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  129. 129.
    M. Benjillali et al., in International Symposium on Ubiquitous Networking, UNet 2016, ed. by M. Benjillali et al. (Springer, 2017), pp. 1–712Google Scholar
  130. 130.
    CIoT 2016, in 2016 Cloudification of the Internet of Things, CIoT 2016 (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  131. 131.
    A. Crooks et al., Creating smart buildings and cities. IEEE Pervasive Comput. 16(2), 23–25 (2017)Google Scholar
  132. 132.
    T.M. John et al., in Towards Building Smart Energy Systems in Sub-Saharan Africa: A Conceptual Analytics of Electric Power Consumption (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  133. 133.
    N. Modi, P. Verma, B. Trivedi, in International Conference on Communication on Networks, COMNET 2016, ed. by N. Modi, P. Verma, B. Trivedi (Springer, 2017), pp. 1–753Google Scholar
  134. 134.
    M. Mylrea, Smart energy-internet-of-things opportunities require smart treatment of legal, privacy and cybersecurity challenges. J. World Energy Law Bus. 10(2), 147–158 (2017)Google Scholar
  135. 135.
    M.A.L. Pena, C.A. Rua, S.S. Lozoya, in A “fast Data” Architecture: Dashboard for Anomalous Traffic Analysis in Data Networks (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  136. 136.
    H. Peng et al., Forecasting potential sensor applications of triboelectric nanogenerators through tech mining. Nano Energy 35, 358–369 (2017)Google Scholar
  137. 137.
    R.G. Qiu, L. Qiu, Y. Badr, in Integrating Physical and Social Sensing to Enable Smart City Mobility Services (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  138. 138.
    T. Qiu et al., Heterogeneous ad hoc networks: architectures, advances and challenges. Ad Hoc Netw. 55, 143–152 (2017)Google Scholar
  139. 139.
    M.M. Rathore et al., IoT-based big data: from smart city towards next generation super city planning. Int. J. Semant. Web Inf. Syst. 13(1), 28–47 (2017)Google Scholar
  140. 140.
    A.R. Reid, C.R.C. Pérez, D.M. Rodríguez, Inference of vehicular traffic in smart cities using machine learning with the internet of things. Int. J. Interact. Des. Manuf., 1–14 (2017)Google Scholar
  141. 141.
    P. Rizwan, K. Suresh, M. Rajasekhara Babu, in Real-Time Smart Traffic Management System for Smart Cities by Using Internet of Things and Big Data (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  142. 142.
    R. Samano-Robles et al., in The DEWI High-Level Architecture: Wireless Sensor Networks in Industrial Applications (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  143. 143.
    K. Schechtner, Bridging the adoption gap for smart city technologies: an interview with Rob Kitchin. IEEE Pervasive Comput. 16(2), 72–75 (2017)Google Scholar
  144. 144.
    D. Serrano, T. Baldassarre, E. Stroulia, in Real-Time Traffic-Based Routing, Based on Open Data and Open-Source Software (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  145. 145.
    A. Shukla, Y. Simmhan, in Benchmarking distributed stream processing platforms for IoT applications, ed. by R. Nambiar, M. Poess, (Springer, Cham, 2017), pp. 90–106Google Scholar
  146. 146.
    S. Shukla, K. Balachandran, V.S. Sumitha, in A Framework for Smart Transportation Using Big Data (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  147. 147.
    F. Silva et al., Intelligent data metrics for urban driving with data fusion and distributed machine learning, in Studies in Computational Intelligence, (Springer, Berlin, 2017), pp. 227–236Google Scholar
  148. 148.
    N. Streitz, in Reconciling Humans and Technology: The Role of Ambient Intelligence, ed. by R. Wichert, A. Braun, A. Mana, (Springer, Cham, 2017), pp. 1–16Google Scholar
  149. 149.
    S. Trilles et al., A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data. Int. J. Digital Earth 10(1), 103–120 (2017)Google Scholar
  150. 150.
    M. Vögler et al., Ahab: a cloud-based distributed big data analytics framework for the Internet of Things. Softw.: Pract. Exp. 47(3), 443–454 (2017)Google Scholar
  151. 151.
    C. Wu et al., A NoSQL-SQL hybrid organization and management approach for real-time geospatial data: a case study of public security video surveillance. ISPRS Int. J. Geo-Inf. 6(1), 21 (2017)Google Scholar
  152. 152.
    J. Xing et al., in Wide Area Beidou Foundation Enhanced Grid Space-Time Interlinked Science and Education Collaborative Experimental Service: A Science and Education Cooperative Experiment Demonstration Platform for the Wide-Area and Grid Enhanced China Beidou Satellite System, ed. by J. Sun et al. (Springer, Singapore, 2017), pp. 255–265Google Scholar
  153. 153.
    A. Yavari, P.P. Jayaraman, D. Georgakopoulos, in Contextualised Service Delivery in the Internet of Things: Parking Recommender for Smart Cities (Institute of Electrical and Electronics Engineers Inc., 2017)Google Scholar
  154. 154.
    V. Zdraveski et al., ISO-standardized smart city platform architecture and dashboard. IEEE Pervasive Comput. 16(2), 35–43 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Samuel Fosso Wamba
    • 1
    Email author
  • Messina Ntede Cécile Angéla
    • 2
  • Etoa Etoa Jean Bosco
    • 3
  1. 1.Toulouse Business SchoolToulouseFrance
  2. 2.GRIAGES, Catholic University of Central AfricaYaoundeCameroon
  3. 3.Faculty of Economics and ManagementUniversity of Yaounde IISoaCameroon

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