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Extending Lifetime of Wireless Sensor Network in Application to Road Traffic Monitoring

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Computer Networks (CN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1039))

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Abstract

The key issue in applications of wireless sensor networks is the limited lifetime of battery-powered sensor nodes. In this paper several methods were adapted and combined to extend the lifetime of the wireless sensor network. The considered network was designed for road traffic monitoring applications, such as detection of vehicles, bicycles, and pedestrians. Detailed experiments were conducted in order to determine lifetime of the sensor nodes in different real-world scenarios. The obtained results show that lifetime of the network for road traffic monitoring can be significantly extended by rotating the role of sensor nodes, suppressing unnecessary transmissions and putting the nodes to sleep mode according to a duty cycle.

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References

  1. Zhuhadar, L., Thrasher, E., Marklin, S., de Pablos, P.O.: The next wave of innovation-Review of smart cities intelligent operation systems. Comput. Hum. Behav. 66, 273–281 (2017)

    Article  Google Scholar 

  2. Kamkar, S., Safabakhsh, R.: Vehicle detection, counting and classification in various conditions. IET Intel. Transport Syst. 10(6), 406–413 (2016)

    Article  Google Scholar 

  3. Płaczek, B.: A self-organizing system for urban traffic control based on predictive interval microscopic model. Eng. Appl. Artif. Intell. 34, 75–84 (2014)

    Article  Google Scholar 

  4. Anisi, M.H., Abdullah, A.H.: Efficient data reporting in intelligent transportation systems. Netw. Spat. Econ. 16(2), 623–642 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bernas, M., Płaczek, B., Korski, W., Loska, P., Smyła, J., Szymała, P.: A survey and comparison of low-cost sensing technologies for road traffic monitoring. Sensors 18(10), 3243 (2018)

    Article  Google Scholar 

  6. Du, R., Gkatzikis, L., Fischione, C., Xiao, M.: On maximizing sensor network lifetime by energy balancing. IEEE Trans. Control Netw. Syst. 5(3), 1206–1218 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  7. Yetgin, H., Cheung, K.T.K., El-Hajjar, M., Hanzo, L.H.: A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Commun. Surv. Tutorials 19(2), 828–854 (2017)

    Article  Google Scholar 

  8. Curry, R.M., Smith, J.C.: A survey of optimization algorithms for wireless sensor network lifetime maximization. Comput. Ind. Eng. 101, 145–166 (2016)

    Article  Google Scholar 

  9. Gamwarige, S., Kulasekere, C.: Optimization of cluster head rotation in energy constrained wireless sensor networks. In: IFIP International Conference on Wireless and Optical Communications Networks. WOCN 2007, pp. 1–5. IEEE, July 2007

    Google Scholar 

  10. Nam, D.H., Min, H.K.: An energy-efficient clustering using a round-robin method in a wireless sensor network. In: 5th ACIS International Conference on Software Engineering Research, Management & Applications. SERA 2007, pp. 54–60. IEEE, August 2007

    Google Scholar 

  11. Kim, D.H., Lee, J., Kim, Y.: Information analysis of local suppression scheme based on a spatial-temporal model. J. Appl. Stat. 45(16), 2929–2942 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  12. Barboni, L., Valle, M.: Experimental analysis of wireless sensor nodes current consumption. In: Second International Conference on Sensor Technologies and Applications. SENSORCOMM 2008, pp. 401–406. IEEE, August 2008

    Google Scholar 

  13. Shaikh, F.K., Zeadally, S.: Energy harvesting in wireless sensor networks: a comprehensive review. Renew. Sustain. Energy Rev. 55, 1041–1054 (2016)

    Article  Google Scholar 

  14. Xie, R., Liu, A., Gao, J.: A residual energy aware schedule scheme for WSNs employing adjustable awake/sleep duty cycle. Wireless Pers. Commun. 90(4), 1859–1887 (2016)

    Article  Google Scholar 

  15. Tavakoli, H., Mišić, J., Mišić, V.B., Naderi, M.: Energy-efficient cluster-head rotation in beacon-enabled IEEE 802.15. 4 networks. IEEE Trans. Parallel Distrib. Syst. 26(12), 3371–3380 (2015)

    Article  Google Scholar 

  16. Płaczek, B.: Decision-aware data suppression in wireless sensor networks for target tracking applications. Front. Comput. Sci. 11(6), 1050–1060 (2017)

    Article  Google Scholar 

  17. Ali, Q.I.: Event driven duty cycling: an efficient power management scheme for a solar-energy harvested road side unit. IET Electr. Syst. Transp. 6(3), 222–235 (2016)

    Article  Google Scholar 

  18. Guo, L., Lu, Q.: Potentials of piezoelectric and thermoelectric technologies for harvesting energy from pavements. Renew. Sustain. Energy Rev. 72, 761–773 (2017)

    Article  Google Scholar 

  19. Weather. https://www.weatheronline.pl/. Accessed 15 Nov 2018

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Acknowledgements

This research was funded by the National Centre for Research and Development (NCBR) Grant No. LIDER/18/0064/L-7/15/NCBR/2016.

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Correspondence to Bartłomiej Płaczek .

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Lewandowski, M., Bernas, M., Loska, P., Szymała, P., Płaczek, B. (2019). Extending Lifetime of Wireless Sensor Network in Application to Road Traffic Monitoring. In: Gaj, P., Sawicki, M., Kwiecień, A. (eds) Computer Networks. CN 2019. Communications in Computer and Information Science, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-21952-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-21952-9_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21951-2

  • Online ISBN: 978-3-030-21952-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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