A Robust Energy-Efficient Cluster-Based Routing Protocol for Mobile Wireless Sensor Network

  • Yogesh TripathiEmail author
  • Vinay Kumar
  • Arun Prakash
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 587)


The mobile wireless sensor network is a promising technology having a wide number of applications. The sensor nodes are mobile and able to communicate with each other in an ad hoc manner. Due to mobility, it outperforms the static wireless sensor network as MWSN increases the throughput, network lifetime, and reduces energy consumption. Mobile sensor network has better ability to monitor the target area than static sensor network. However, the routing protocol in mobile environment is complex in resource constraints MWSN. So, it is required to develop an energy-efficient routing protocol to improve network performance. In this paper, a robust energy-efficient cluster-based routing protocol is proposed. The energy-rich node is selected as cluster head with minimum velocity for maximum connectivity among the cluster members. Selection of reliable forwarder improves network performance. Extensive simulation study is carried out to evaluate the performance of the proposed routing protocol with respect to delay, throughput, PDR, and total energy consumption.


Mobile Wireless Sensor Network Clustering Energy efficiency Reliability 



This work is supported by the council of science and technology under the project entitled “wireless sensor network (WSN) routing protocol for industrial applications: algorithm design and hardware”. Project grant number is CST/2872.


  1. 1.
    Munir, S.A., Biaoren,W.J., Wang, B., Xie, D., Ma, J.: Mobile wireless sensor network: architecture and enabling technologies for ubiquitous computing. In: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshop (AINAW’07) (2007)Google Scholar
  2. 2.
    Anastasi, G., Conti, M., Di Francesco, M., Passarella, A.: Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw. 7, 537–568 (2009)CrossRefGoogle Scholar
  3. 3.
    Guan, X., Guan, L., Wang, X.G., Ohtsuki, T.: A new load balancing and data collection algorithm for energy saving in wireless sensor networks. Telecommun. Syst. 45, 313–322 (2010). Scholar
  4. 4.
    Liu, B., Brass, P., Dousse, O., Nain, P., Towsley, D.: Mobility improve coverage of sensor networks. In: Proceedings of ACM MobiHoc (2005)Google Scholar
  5. 5.
    Weiser, M.: In The computer for the twenty-first century. Sci. Am. (1991)Google Scholar
  6. 6.
    Rahimi, M., Shah, H., Sukhatme, G.S., Heideman, J., Estrin, D.: Studying the feasibility of energy harvesting in a mobile sensor network. In: Proceedings of the 2003 IEEE International Conference on Robotics and Automation, Taipei, Taiwan (2003)Google Scholar
  7. 7.
    Yarvis, M., Kushalnagar, N., Singh, H., Rangarajan, A., Liu, Y., Singh, S.: Exploiting heterogeneity in sensor networks. In: Proceedings of IEEE INFOCOM’2005, Miami, FL (2005)Google Scholar
  8. 8.
    Chellappan, S., Bai, X., Ma, B., Xuan, D., Xu, C.: Mobility limited flip-based sensor networks deployment. IEEE Trans. Parallel Distrib. Syst. 18(2), 199–211 (2007)CrossRefGoogle Scholar
  9. 9.
    Lee, U., Magistretti, E.O., Zhou, B.O., Gerla, M., Bellavista, P., Corradi, A.: Efficient data harvesting in mobile sensor platforms. In: Proceedings of PerCom Workshops (pp. 352–356) (2006)Google Scholar
  10. 10.
    Sara, Getsy S., Sridharan, D.: Routing in mobile wireless sensor network: a survey. Telecommun. Syst. 57(1), 51–70 (2014)CrossRefGoogle Scholar
  11. 11.
    Chen, C., Ma, J., Yu, K.: Designing energy efficient wireless sensor networks with mobile sinks. In: Proceedings of WSW’06 at SenSys’06, Colorado, USA, 31 October 2006 (2006)Google Scholar
  12. 12.
    Hameed Mir, Z., Ko, Y.-B.: A quadtree-based hierarchical data dissemination for mobile sensor networks. Telecommun. Syst. 36, 117–128 (2007). Scholar
  13. 13.
    Felemban, E., Lee, C.-G., Ekici, E.: MMSPEED: multipath multispeed protocol for QOS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans. Mobile Comput. 5(6), 738–754 (2006)CrossRefGoogle Scholar
  14. 14.
    Sarma, H.K.D., Mall, R., Kar, A.: E2R2: energy-efficient and reliable routing for mobile wireless sensor networks. IEEE Syst. J. 1–11 (2014)Google Scholar
  15. 15.
    Kim, D., Chung, Y.: Self-organization routing protocol supporting mobile nodes for wireless sensor network. In: Proceedings of 1st International Multi-Symposiums on Computer and Computational Sciences (IMSCCS’06), June (pp. 622–626) (2006)Google Scholar
  16. 16.
    Kumar, G.S., Vinu, M.V., Athithan, P.G., Jacob, K.P.: Routing protocol enhancement for handling node mobility in wireless sensor networks. In: Proceedings of IEEE Region 10 Conference (TENCON) (pp. 1–6) (2008)Google Scholar
  17. 17.
    Awwad, S.A.B., Ng, C.K., Noordin, N.K., Rasid, M.F.A.: Cluster based routing protocol for mobile nodes in wireless sensor network. In: Proceedings of International Symposium on Collaborative Technologies and Systems (CTS’09) (pp. 233–241) (2009)Google Scholar
  18. 18.
    Hayes, T., Ali, Falah H.: Robust ad-hoc sensor routing (RASeR) protocol for mobile wireless sensor networks. Ad Hoc Netw. 50, 128–144 (2016)CrossRefGoogle Scholar
  19. 19.
    The Network Simulator NS-2.

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringMotilal Nehru National Institute of Technology AllahabadAllahabadIndia
  2. 2.Department of Electronics and Communication EngineeringVisvesvaraya National Institute of Technology NagpurNagpurIndia

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