Skip to main content

Designing Energy-Efficient IoT-Based Intelligent Transport System: Need, Architecture, Characteristics, Challenges, and Applications

  • Chapter
  • First Online:
Energy Conservation for IoT Devices

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 206))

Abstract

The scale of growth of transportation in recent years and the dependency affiliated to it by the industrial and domestic spheres have brought to front the problems of traffic congestion, transport overload, and as well as concern of safety of and resource availability to the passengers. Integration of IoT to the transportation systems has brought instrumental solution to such problems, at the same time providing peripheral commute information, paving way for a smarter, and more informed travel, giving birth to intelligent transport systems (ITS). The challenge now posed is to reduce the extensive power ask of IoT-based technologies that shall be implemented in such schemes. In this chapter, we explore the need, scope, architecture, key technologies involved, and respective power optimization prospects for ITS, providing energy efficiency solutions that can be implemented for each technical layer of ITS.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://mycoordinates.org/the-generation-of-well-geo-referenced-floor-plans-and-application-in-indoor-navigation-system/

  2. http://www.fargocontrols.com/sensors.html

  3. https://pure.tudelft.nl/portal/en/publications/an-internetofthings-enabled-connected-navigation-system-for-urban-bus-riders(b781d1fe-f182-4021-864b-86f67ded3e07)/export.html

  4. https://worldwidescience.org/topicpages/t/traditionalortbig.html

  5. https://doi.org/10.3403/30190184

  6. Ashokkumar, K., Sam, B., Arshadprabhu, R.: Britto: cloud based intelligent transport system. Procedia Comput. Sci. 50, 58–63 (2015). https://doi.org/10.1016/j.procs.2015.04.061

    Article  Google Scholar 

  7. Bitam, S., Mellouk, A.: Its-cloud: cloud computing for intelligent transportation system. In: 2012 IEEE Global Communications Conference (GLOBECOM) (2012). https://doi.org/10.1109/glocom.2012.6503418

  8. Chhabra, A., Vashishth, V., Sharma, D.K.: A game theory based secure model against black hole attacks in opportunistic networks. In: 2017 51st Annual Conference on Information Sciences and Systems (CISS). pp. 1–6 (March 2017). https://doi.org/10.1109/CISS.2017.7926114

  9. Chhabra, A., Vashishth, V., Sharma, D.K.: Seir: a stackelberg game based approach for energy-aware and incentivized routing in selfish opportunistic networks. In: 2017 51st Annual Conference on Information Sciences and Systems (CISS). pp. 1–6 (March 2017). https://doi.org/10.1109/CISS.2017.7926113

  10. Chhabra, A., Vashishth, V., Khanna, A., Sharma, D.K., Singh, J.: An energy efficient routing protocol for wireless internet-of-things sensor networks. arXiv preprint arXiv:1808.01039 (2018)

  11. Chhabra, A., Vashishth, V., Sharma, D.K.: A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks. Int. J. Commun. Syst. 31(4), e3487. https://doi.org/10.1002/dac.3487, https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.3487, e3487 IJCS-17-0453.R1

    Article  Google Scholar 

  12. Dandala, T.T., Krishnamurthy, V., Alwan, R.: Internet of vehicles (iov) for traffic management. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) (2017). https://doi.org/10.1109/icccsp.2017.7944096

  13. Duan, Z., Li, Y., Zheng, X., Liu, Y., Dai, J., Kang, J.: Traffic information computing platform for big data (2014). https://doi.org/10.1063/1.4897773

  14. Environmentally beneficial intelligent transportation systems (Apr 2016). https://www.sciencedirect.com/science/article/pii/S1474667016318171

  15. Guerrero-Ibez, J., Zeadally, S., Contreras-Castillo, J.: Sensor technologies for intelligent transportation systems. Sensors 18(4), 1212 (2018). https://doi.org/10.3390/s18041212

    Article  Google Scholar 

  16. Hult, R., Campos, G.R., Steinmetz, E., Hammarstrand, L., Falcone, P., Wymeersch, H.: Coordination of cooperative autonomous vehicles: Toward safer and more efficient road transportation. IEEE Signal Process. Mag. 33(6), 74–84 (2016). https://doi.org/10.1109/msp.2016.2602005

    Article  Google Scholar 

  17. Ji, Z., Ganchev, I., Odroma, M., Zhao, L., Zhang, X.: A cloud-based car parking middleware for iot-based smart cities: design and implementation. Sensors 14(12), 22372–22393 (2014). https://doi.org/10.3390/s141222372

    Article  Google Scholar 

  18. Katiyar, V., Kumar, P., Chand, N.: An intelligent transportation systems architecture using wireless sensor networks. Int. J. Comput. Appl. 14(2), 22–26 (2011). https://doi.org/10.5120/1816-2369

    Article  Google Scholar 

  19. Kumar, N., Lourenco, N., Terra, D., Alves, L.N., Aguiar, R.L.: Visible light communications in intelligent transportation systems. In: 2012 IEEE Intelligent Vehicles Symposium (2012). https://doi.org/10.1109/ivs.2012.6232282

  20. Kumar, R., Rajasekaran, M.P.: An iot based patient monitoring system using raspberry pi. In: 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE16) (2016). https://doi.org/10.1109/icctide.2016.7725378

  21. Lakshminarasimhan, M.: Iot based traffic management system (03 2016)

    Google Scholar 

  22. Lee, J.S., Su, Y.W., Shen, C.C.: A comparative study of wireless protocols: Bluetooth, uwb, zigbee, and wi-fi. In: IECON 2007—33rd Annual Conference of the IEEE Industrial Electronics Society (2007). https://doi.org/10.1109/iecon.2007.4460126

  23. Machado-Fernndez, J.R.: Software defined radio: Basic principles and applications. REVISTA FACULTAD DE INGENIERA 24(38), 79 (2014). https://doi.org/10.19053/01211129.3160

    Article  Google Scholar 

  24. Moloisane, N.R., Malekian, R., Capeska Bogatinoska, D.: Wireless machine-to-machine communication for intelligent transportation systems: internet of vehicles and vehicle to grid. In: 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (2017). https://doi.org/10.23919/mipro.2017.7973459

  25. Nellore, K., Hancke, G.P.: A survey on urban traffic management system using wireless sensor networks. Sensors 16(2) (2016). http://www.mdpi.com/1424-8220/16/2/157

    Article  Google Scholar 

  26. Papagiannakis, A., Dessouky, S., Montoya, A., Roshani, H.: Energy harvesting from roadways. Procedia Comput. Sci. 83, 758–765 (2016). https://doi.org/10.1016/j.procs.2016.04.164

    Article  Google Scholar 

  27. Qu, F., Wang, F., Yang, L.: Intelligent transportation spaces: vehicles, traffic, communications, and beyond. IEEE Commun. Mag. 48(11), 136–142 (2010). https://doi.org/10.1109/MCOM.2010.5621980

    Article  Google Scholar 

  28. Ran, B., Jin, P.J., Boyce, D., Qiu, T.Z., Cheng, Y.: Perspectives on future transportation research: Impact of intelligent transportation system technologies on next-generation transportation modeling. J. Int. Transp. Syst. 16(4), 226–242 (2012). https://doi.org/10.1080/15472450.2012.710158

    Article  Google Scholar 

  29. Rios-Torres, J., Malikopoulos, A.A.: Automated and cooperative vehicle merging at highway on-ramps. IEEE Trans. Intell. Transp. Syst. 18(4), 780–789 (2017). https://doi.org/10.1109/tits.2016.2587582

    Article  Google Scholar 

  30. Romero, D.D., Prabuwono, A.S., Taufik, T., Hasniaty, A.: A review of sensing techniques for real-time traffic surveillance. J. Appl. Sci. 11(1), 192–198 (2011). https://doi.org/10.3923/jas.2011.192.198

    Article  Google Scholar 

  31. Sethi, Sarangi, R., S.: Internet of things: architectures, protocols, and applications (Jan 2017). https://www.hindawi.com/journals/jece/2017/9324035/abs/

  32. Shladover, S.E.: Connected and automated vehicle systems: introduction and overview. J. Intell. Transp. Syst. 22(3), 190–200 (2017). https://doi.org/10.1080/15472450.2017.1336053

    Article  Google Scholar 

  33. Singh, R., Gahlot, A., Mittal, M.: Iot based intelligent robot for various disasters monitoring and prevention with visual data manipulating. Int. J. Tomogr. Simul. 32(1), 90–99 (2019)

    Google Scholar 

  34. Singh, R., Gehlot, A., Mittal, M., Samkaria, R., Choudhury, S.: Application of icloud and wireless sensor network in environmental parameter analysis. Int. J. Sens. Wirel. Commun. Control 7(3), 170–177 (2018). https://doi.org/10.2174/2210327908666180123141724

    Article  Google Scholar 

  35. Wang, F., Yang, M., Yang, R.: The intelligent vehicle coordination of the cybernetic transportation system. Int. J. Adv. Robot. Syst. 6(1), 2 (2009). https://doi.org/10.5772/6771

    Article  Google Scholar 

  36. Widyantara, I.M.O., Sastra, N.P.: Internet of things for intelligent traffic monitoring system: a case study in denpasar. Int. J. Comput. Trends Technol. 30(3), 169–173 (2015). https://doi.org/10.14445/22312803/ijctt-v30p130

    Article  Google Scholar 

  37. Zhong, C.L., Zhu, Z., Huang, R.G.: Study on the iot architecture and gateway technology. In: 2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) (2015). https://doi.org/10.1109/dcabes.2015.56

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deepak Kumar Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bhardwaj, K.K., Khanna, A., Sharma, D.K., Chhabra, A. (2019). Designing Energy-Efficient IoT-Based Intelligent Transport System: Need, Architecture, Characteristics, Challenges, and Applications. In: Mittal, M., Tanwar, S., Agarwal, B., Goyal, L. (eds) Energy Conservation for IoT Devices . Studies in Systems, Decision and Control, vol 206. Springer, Singapore. https://doi.org/10.1007/978-981-13-7399-2_9

Download citation

Publish with us

Policies and ethics