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Internet of Things: Current Trends and Emerging Prospects

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Proceedings of International Symposium on Sensor Networks, Systems and Security (ISSNSS 2017)

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Abstract

The prevalence of Internet of things (IoT) paradigm has seen the rise of many useful applications in the domains of healthcare, industries, smart city, and so on. However, the paradigm itself is in its dormant stages and still has many open-ended research challenges like interoperability, security and privacy, compliance, and standardization issues which need to be addressed. In this paper, we present a high-level discussion of the overall implications of the IoT paradigm with respect to different application areas and scenarios, domains, and technicalities that needs to be focused for effective incorporation of the IoT concept. Additionally, we also discuss briefly some of the future prospects that can improve the current trends of IoT frameworks.

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References

  1. AllJoyn: Alljoyn framework. allseenalliance.org/

    Google Scholar 

  2. Amadeo, M., Campolo, C., Quevedo, J., Corujo, D., Molinaro, A., Iera, A., Aguiar, R.L., Vasilakos, A.V.: Information-centric networking for the internet of things: challenges and opportunities. IEEE Netw. 30(2), 92–100 (2016)

    Article  Google Scholar 

  3. Bedhief, I., Kassar, M., Aguili, T.: SDN-based architecture challenging the IoT heterogeneity. In: 2016 3rd Smart Cloud Networks Systems (SCNS), pp. 1–3 (2016)

    Google Scholar 

  4. Bormann, C., Castellani, A.P., Shelby, Z.: CoAP: an application protocol for billions of tiny internet nodes. IEEE Internet Comput. 16(2), 62–67 (2012)

    Article  Google Scholar 

  5. Boulton, C.: Apple’s new health focus comes at propitious time. Wall Street J. (2014). https://blogs.wsj.com/cio/2014/06/10/apples-new-health-focus-comes-at-propitious-time/

  6. Bröring, A., Schmid, S., Schindhelm, C.K., Khelil, A., Käbisch, S., Kramer, D., Phuoc, D.L., Mitic, J., Anicic, D., Teniente, E.: Enabling IoT ecosystems through platform interoperability. IEEE Softw. 34(1), 54–61 (2017)

    Article  Google Scholar 

  7. Bunge, J.: Big data comes to the farm, sowing mistrust: seed makers barrel into technology business. Wall Street J. (2014). https://www.wsj.com/articles/no-headline-available-1393372266

  8. Buntz, B.: 10 killer applications of the IoT and augmented reality. Internet of Things Inst. News Anal. (2016). http://www.ioti.com/iot-trends-and-analysis/10-killer-applications-iot-and-augmented-reality

  9. Cao, X., Madria, S., Hara, T.: A WSN testbed for Z-order encoding based multi-modal sensor data compression. In: 14th IEEE International Conference on Sensing, Communication, and Networking, SECON 2017, San Diego, CA, pp. 1–2 (2017)

    Google Scholar 

  10. Carbone, J.: Expect sensor prices to fall. Digikey (2013)

    Google Scholar 

  11. Dhondge, K., Shorey, R., Tew, J.: HOLA: heuristic and opportunistic link selection algorithm for energy efficiency in industrial internet of things (IIoT) systems. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS), pp. 1–6 (2016)

    Google Scholar 

  12. Dong, M., Kimata, T., Sugiura, K., Zettsu, K.: Quality-of-Experience (QoE) in emerging mobile social networks. IEICE Trans. Inf. Syst. E97.D(10), 2606–2612 (2014)

    Article  Google Scholar 

  13. Etihad airways and taleris implement new technology to predict aircraft maintenance faults, reduce flight delays. BusinessWire (2013)

    Google Scholar 

  14. Granjal, J., Monteiro, E., Silva, J.S.: Security for the internet of things: a survey of existing protocols and open research issues. IEEE Commun. Surv. Tutorials 17(3), 1294–1312 (2015)

    Article  Google Scholar 

  15. Hossain, M.S., Muhammad, G.: Cloud-assisted industrial internet of things IIoT - enabled framework for health monitoring. Comput. Netw. 101(C), 192–202 (2016)

    Article  Google Scholar 

  16. Idc press release (2016). www.idc.com/getdoc.jsp?containerId=prUS41100116

  17. Idc press release (2017). www.idc.com/getdoc.jsp?containerId=prUS42209117

  18. Kumar, D.: Step on the pedal of cloud services. Michelin Solutions Press release (2013). CruxialCIO.com

    Google Scholar 

  19. Lucero, S.: Complimentary whitepaper: IoT platforms - enabling the internet of things (2016). cdn.ihs.com/www/pdf/enabling-IOT.pdf

    Google Scholar 

  20. Luong, N.C., Hoang, D.T., Wang, P., Niyato, D., Kim, D.I., Han, Z.: Data collection and wireless communication in internet of things (IoT) using economic analysis and pricing models: a survey. IEEE Commun. Surv. Tutorials 18(4), 2546–2590 (2016)

    Article  Google Scholar 

  21. Madria, S., Kumar, V., Dalvi, R.: Sensor cloud: a cloud of virtual sensors. IEEE Softw. 31(2), 70–77 (2014)

    Article  Google Scholar 

  22. Mekala, A.R., Madria, S., Linderman, M.: Aerial vehicle trajectory design for task aggregation. In: 16th IEEE International Conference on Mobile Data Management, MDM 2015, Pittsburgh, PA, pp. 319–322 (2015)

    Google Scholar 

  23. NEST: Demand response programs will reach nearly $10 billion in annual revenue by 2023. Navigant Research (2014)

    Google Scholar 

  24. Nieto, A., Lopez, J.: Security and QoS relationships in mobile platforms. In: 4th FTRA International Conference on Computer Science and Its Applications (CSA 2012), vol. 203, pp. 13–21 (2012)

    Chapter  Google Scholar 

  25. Ogrodowczyk, T., Belter, B., LeClerc, M.: IoT ecosystem over programmable SDN infrastructure for smart city applications. In: 2016 5th European Workshop on Software-Defined Networks (EWSDN), pp. 49–51 (2016)

    Google Scholar 

  26. Press release, Accenture to help thames water prove the benefits of smart monitoring capabilities (2014). https://newsroom.accenture.com/industries/utilities/accenture-to-help-thames-water-prove-the-benefits-of-smart-monitoring-capabilities.htm

  27. Rescorla, E., Modadugu, N.: DTLS: datagram transport layer security. RFC 4347 (2006)

    Google Scholar 

  28. Sarakis, L., Zahariadis, T., Leligou, H.C., Dohler, M.: A framework for service provisioning in virtual sensor networks. EURASIP J. Wirel. Commun. Netw. 2012(1), 135 (2012)

    Google Scholar 

  29. Savola, R.M., Abie, H.: Metrics-driven security objective decomposition for an e-health application with adaptive security management. In: Proceedings of the International Workshop on Adaptive Security, ASPI ’13, vol. 6, pp. 6:1–6:8 (2013)

    Google Scholar 

  30. Sen, A., Madria, S.: Risk assessment in a sensor cloud framework using attack graphs. IEEE Trans. Serv. Comput. 10(6), 942–955 (2017)

    Article  Google Scholar 

  31. Skipper, G.C.: Predictive maintenance and condition based monitoring (2013). ConstructionEquipment.com

    Google Scholar 

  32. Soursos, S., Zarko, I.P., Zwickl, P., Gojmerac, I., Bianchi, G., Carrozzo, G.: Towards the cross-domain interoperability of IoT platforms. In: 2016 European Conference on Networks and Communications (EuCNC), pp. 398–402 (2016)

    Google Scholar 

  33. Takahashi, D.: Spansion goes battery-less with tiny ‘internet of things’ chips (2014). Venturebeat.com

    Google Scholar 

  34. Taleb, T., Hadjadj-Aoul, Y.: QoS2: a framework for integrating quality of security with quality of service. Wiley J. Secur. Commun. Netw. 5(12), 1462–1470 (2012)

    Article  Google Scholar 

  35. Terdiman, D.: How GE got on track toward the smartest locomotives ever (2014). cnet.com

    Google Scholar 

  36. Vaccari, A.: How virtual reality meets the industrial IoT (2016). wiki.aalto.fi/download/attachments/109392027/How-VR-meets-IIoT.pdf

    Google Scholar 

  37. Virtual-Radiologic: future of radiology microsite (2011). vRad.com

    Google Scholar 

  38. Volvo: volvo construction equipment website. www.volvoce.com

  39. Wagstaff, J.: All at sea: global shipping fleet exposed to hacking threat. The World Economic Forum report: Global Risks 2014 (2014)

    Google Scholar 

  40. Whitepaper: IoT and digital transformation: a tale of four industries. digitalistmag.wpengine.netdna-cdn.com/files/2016/03/IDC_IoT_white_paper_Mar2016.pdf

    Google Scholar 

  41. Whitmore, A., Agarwal, A., Xu, L.: The internet of things–a survey of topics and trends. Inf. Syst. Front. 17(2), 261–274 (2015)

    Article  Google Scholar 

  42. Wilson, J.: Miners tap into rich seam of internet of things. Financial Times (2014)

    Google Scholar 

  43. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)

    Article  Google Scholar 

  44. Zhang, Y., Li, W., Zhou, P., Yang, J., Shi, X.: Big sensor data: a survey. In: 9th IEEE International Conference on Internet and Distributed Computing Systems IDCS, Wuhan, pp. 155–166 (2016)

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

    Amartya Sen & Sanjay Madria

Authors
  1. Amartya Sen
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  2. Sanjay Madria
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Correspondence to Sanjay Madria .

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Editors and Affiliations

  1. Computer Science & Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Nageswara S.V. Rao

  2. Clemson University, Clemson, South Carolina, USA

    Richard R. Brooks

  3. Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

    Chase Q. Wu

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Sen, A., Madria, S. (2018). Internet of Things: Current Trends and Emerging Prospects. In: Rao, N., Brooks, R., Wu, C. (eds) Proceedings of International Symposium on Sensor Networks, Systems and Security. ISSNSS 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-75683-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-75683-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75682-0

  • Online ISBN: 978-3-319-75683-7

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