Dynamic Cluster Based Routing Protocol with Sink Mobility Support for Underwater Wireless Sensor Networks

  • Abstract
  • Keywords
  • References
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  • Abstract

    Underwater wireless sensor networks are energy resource constrained due to the scarce battery capacity. Energy efficient routing protocol is highly demanded to be developed for such networks. It is indeed a challenging task to design routing protocol that can achieve energy efficiency due to the dynamic and harsh underwater environment. A dynamic cluster based routing protocol coupled with sink mobility support (DCMMS) is proposed. Two schemes are combined together in the protocol. One is the formation of  clusters and two is the mobile sink management. The cluster formation includes cluster head election process and member           association process. Each cluster member sends the sensed data to the cluster head. Multiple mobile sinks are deployed to gather data directly from cluster heads. Finally, mobile sinks send the collected data after proper aggregation to the static sinks located at the surface. Thus, sink mobility and the dynamic clustering technique together help to balance the load among the nodes thereby       minimizing energy consumption to a significant extent and extending the network life span. Analytical simulations are extensively carried out to attest how the proposed protocol (DCMMS) achieves better performance with minimum energy consumption, less end to end delay and higher packet delivery ratio than its counterpart existing protocol (AA-RP).



  • Keywords

    cluster formation; dynamic; energy consumption; sink mobility; underwater wireless sensor networks.

  • References

      [1] Akyildiz, I.F., Pompili, D., Melodia, T. "Underwater acoustic sensor networks: Research challenges.",Ad Hoc Netw., 2005, 3, 257–279.

      [2] Vasilescu, I.; Kotay, K.; Rus, D.; Dunbabin, M.; Corke, P., "Data collection, storage, and retrieval with an underwater sensor network.",Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, San Diego, CA, USA, 2–4 November 2005; pp. 154–165.

      [3] Climent S, Sanchez A., Capella J. V., Meratnia N., and Serrano J.J., “Underwater acoustic wireless sensor networks: Advances and future trends in physical, mac and routing layers,” ,Sensors, vol. 14, no. 1, January 2014, pp. 795–833.

      [4] Yan, H.; Shi, Z.J.; Cui, J.H. "DBR: Depth-based routing for underwater sensor networks.", Proceedings of the International Conference on Research in Networking, Singapore, 5–9 May 2008, pp. 72–86.

      [5] Noh Y., Lee U., Wang P., Choi B. S. C., and Gerla M., “HydroCast:Pressure Routing for Underwater Sensor Networks,”, IEEE Transactions on Vehicular Technology, vol. 10, no. 5, 2013, pp. 750–765.

      [6] Jafri M. R., Ahmed S., Javaid N., Ahmad Z. , and Qureshi R., “Amctd: Adaptive mobility of courier nodes in threshold-optimized dbr protocol for underwater wireless sensor networks,” in Eighth International Con- ference on Broadband and Wireless Computing, Communication and Applications (BWCCA). Compiegne,France: IEEE, October 2013, pp. 93–99.

      [7] Noh Y., Lee U., Wang P., Choi B. S. C., and Gerla M., “VAPR: Void-aware pressure routing for underwater sensor networks,” IEEE Transactions on Mobile Computing, vol. 12, no. 5, May 2013, pp. 895–908

      [8] Coutinho, R.W.L.; Boukerche, A.; Vieira, L.F.M.; Loureiro, A.A.F. GEDAR: Geographic and opportunistic routing protocol with depth adjustment for mobile underwater sensor networks. In Proceedings of the 2014 IEEE International Conference on Communications (ICC), Sydney, Australia, 10–14 June, 2014, pp. 251–256.

      [9] Wang Zhuo, Guo Hongmei, Jiang Longjie and Feng Xiaoning," AUV-aided communication method for underwater mobile sensor network:", OCEANS, 2016, pp.1-7, doi: 1109/OCEANSAP.2016.74853




Article ID: 16183
DOI: 10.14419/ijet.v7i3.16.16183

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