International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Rajesh L.*, Mohan H. S.

Department of Information Science and Engineering, SJB Institute of Technology, Bengaluru, Karnataka, India


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Nowadays the interest of research by the researchers is dominating in various areas of wireless sensor networks (WSNs) domain. The task of reducing energy consumption and spreading WSN lifetime are very impressive. Increase of energy stability and developing an advanced routing mechanism is one of the main issues in WSNs. There is a rising concern about protection of data from sensors and these low power devices are not suitable to complex cryptographic algorithms. Hence, the lifetime optimization and security are two conflicting design issues that are not filled to multi-hop wireless sensor networks. This paper presents a multilevel efficient energy clustering protocol with secure routing (MEECSR) protocol with two adjustable parameters: energy balance mastery and probabilistic random walking to avoid the above conflicts. The protocol for energy consumption of a given network topology is severely displaced, which greatly reduces the lifetime of the sensor networks. Also a quantifiable security method is proposed to address the source location privacy. The protocol provides an admirable trade-off between routing efficiency and energy balance can significantly extend the lifetime of the sensor networks in all scenarios. Further, the non-uniform energy deployment shows an increase in the lifetime of the network and the total number of packets delivered. This paper shows the simulation results of security and energy efficiency with different parameters.

Keywords: Deployment, Energy aware, Energy consumption, Lifetime optimization, Secure routing protocol, Security, Uniform energy, Wireless sensor network.

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  1. Ayadi, A. 2011. Energy-efficient and reliable transport protocols for wireless sensor networks: state-of-art. Wireless Sensor Network, 3, 106–113.

  2. Bhattacharya, S., Kim, H., Prabh, S., Abdelzaher, T. 2003. Energy-conserving data placement and asynchronous multicast in wireless sensor networks. In Proceedings of the 1st international conference on Mobile systems, applications and services, 173–185.

  3. Bose, P., Morin, P., Stojmenović, I., Urrutia, J. 2001. Routing with guaranteed delivery in ad hoc wireless networks. Wireless networks, 7, 609–616.

  4. Bulusu, N., Heidemann, J., Estrin, D. 2000. GPS-less low-cost outdoor localization for very small devices. IEEE personal communications, 7, 28–34.

  5. Chamam, A., Pierre, S. 2009. On the planning of wireless sensor networks: Energy-efficient clustering under the joint routing and coverage constraint. IEEE Transactions on Mobile Computing, 8, 1077–1086.

  6. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H. 2000. Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual Hawaii international conference on system sciences, 10. IEEE.

  7. Karp, B., Kung, H.T. 2000. GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the 6th annual international conference on Mobile computing and networking, 243–254.

  8. Li, Y., Li, J., Ren, J., Wu, J. 2012. Providing hop-by-hop authentication and source privacy in wireless sensor networks. Proceedings IEEE INFOCOM, 3071–3075. IEEE.

  9. Li, Y., Ren, J., Wu, J. 2011. Quantitative measurement and design of source-location privacy schemes for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 23, 1302–1311.

  10. Li, Y., Yang, Y., Lu, X. 2010. Rules of designing routing metrics for greedy, face, and combined greedy-face routing. IEEE transactions on mobile computing, 9, 582–595.

  11. Liao, W.H., Kuai, S.C., Lin, M.S. 2015. An energy-efficient sensor deployment scheme for wireless sensor networks using ant colony optimization algorithm. Wireless Personal Communications, 82, 2135–2153.

  12. Melodia, T., Pompili, D., Akyildiz, I.F. 2004. Optimal local topology knowledge for energy efficient geographical routing in sensor networks. In IEEE INFOCOM 2004, 3, 1705–1716.

  13. Merlin, C.J., Heinzelman, W.B. 2009. Schedule adaptation of low-power-listening protocols for wireless sensor networks. IEEE Transactions on Mobile Computing, 9, 672–685.

  14. Nguyen, K., Ji, Y., Yamada, S. 2013. Low overhead MAC protocol for low data rate wireless sensor networks. International Journal of Distributed Sensor Networks, 9, Article ID 217159.

  15. Rashed, M., Kabir, M.H., Rahim, M.S., Ullah, S.E. 2012. Cluster based hierarchical routing protocol for wireless sensor network. arXiv:1207.3876.

  16. Savvides, A., Han, C.C., Strivastava, M.B. 2001. Dynamic fine-grained localization in ad-hoc networks of sensors. In Proceedings of the 7th annual international conference on Mobile computing and networking, 166–179.

  17. Shah, R.C., Rabaey, J.M. 2002. Energy aware routing for low energy ad hoc sensor networks. IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No. 02TH8609), 1, 350–355.

  18. Tang, D., Li, T., Ren, J., Wu, J. 2014. Cost-aware secure routing (CASER) protocol design for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26, 960–973.

  19. Wang, S.S., Chen, Z.P. 2012. LCM: A link-aware clustering mechanism for energy-efficient routing in wireless sensor networks. IEEE sensors journal, 13, 728–736.

  20. Wu, Y., Li, X.Y., Li, Y., Lou, W. 2009. Energy-efficient wake-up scheduling for data collection and aggregation. IEEE Transactions on parallel and distributed systems, 21, 275–287.

  21. Xu, Y., Heidemann, J., Estrin, D. 2001. Geography-informed energy conservation for ad hoc routing. In Proceedings of the 7th annual international conference on Mobile computing and networking, 70–84.

  22. Yu, Y., Govindan, R., Estrin, D. 2001. Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. vComputer Science Department, University of California at Los Angeles. Tech. Rep. UCLA/CSD-TR-01-0023.

  23. Zafar, S., Town, B.B.F. 2011. A survey of transport layer protocols for wireless sensor networks. International journal of Computer applications, 33, 44–50.

  24. Zhang, B., Yu, F. 2008. An energy efficient localization algorithm for wireless sensor networks using a mobile anchor node. International Conference on Information and Automation, 215–219. IEEE.


Received: 2020-12-31

Accepted: 2021-01-21
Available Online: 2021-06-01

Cite this article:

Rajesh, L., Mohan, H.S. 2021. An multilevel efficient energy clustering protocol with secure routing (MEECSR) in WSNs, International Journal of Applied Science and Engineering, 18, 2020344.

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.