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Consensus Based Report-Back Protocol for Improving the Network Lifetime in Underwater Sensor Networks

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Advances in Communication Networking (EUNICE 2014)

Abstract

One of the main objectives of wireless sensor network design is to prolong the network lifetime. In underwater sensor networks, this problem is even more critical due to the difficulty in battery replacement and/or recharging. In this paper, we study the problem of extending the network lifetime for underwater sensor networks. We consider a clustered network, that consists of two types of nodes: the cluster heads (“supernodes”) that send the information to the sink, and the ordinary sensor nodes that collect the information about the environment. The nodes are considered to have dynamic stochastic topology, and noisy measurements about their own and their neighbors’ current battery levels. A differentiated consensus based report-back protocol is introduced for determining the workload distribution throughout the network with different algorithms for cluster heads and monitoring sensors. To analyze the original stochastic system, an averaged deterministic model is introduced. In addition, the protocol is also implemented in software to study the performance of the proposed protocol. Results from the implementation show that the proposed protocol achieves consensus among the respective nodes and also has a positive impact on lifetime of the network without any compromise on power efficiency.

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Notes

  1. 1.

    The authors acknowledge the support of SPbSU for a research grant 6.50.1554.2013, RFBR (project 13-07-00250, 14-08-01015) and the Russian Ministry of Education (unique app.no. RFMEFI60414X0035).

References

  1. Amelina, N., Fradkov, A., Jiang, Y., Vergados, D.: Approximate consensus multi-agent control under stochastic environment with application to load balancing (June 2013). arXiv:1306.3378, http://arxiv.org/abs/1306.3378

  2. Amelina, N., Granichin, O., Jiang, Y.: Differentiated consensuses in decentralized load balancing problem with randomized topology, noise, and delays. In: 53rd IEEE Conference on Decision and Control (CDC2014). IEEE (2014)

    Google Scholar 

  3. Asensio-Marco, C., Beferull-Lozano, B.: Network topology optimization for accelerating consensus algorithms under power constraints. In: IEEE 8th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE (2012)

    Google Scholar 

  4. Avrachenkov, K., El Chamie, M., Neglia, G.: A local average consensus algorithm for wireless sensor networks. In: 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), pp. 1–6. IEEE (2011)

    Google Scholar 

  5. Barbarossa, S., Scutari, G., Swami, A.: Achieving consensus in self-organizing wireless sensor networks: The impact of network topology on energy consumption. In: IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP 2007, vol. 2. IEEE (2007)

    Google Scholar 

  6. Chen, L., Carpenter, G., Greenberg, S., Frolik, J., Wang, X.: An implementation of decentralized consensus building in sensor networks. IEEE Sens. J. 11, 667–675 (2011)

    Article  Google Scholar 

  7. Domingo, M.C., Prior, R.: Energy analysis of routing protocols for underwater wireless sensor networks. Comput. Commun. 31(6), 1227–1238 (2008)

    Article  Google Scholar 

  8. Heidemann, J., Ye, W., Wills, J., Syed, A., Li, Y.: Research challenges and applications for underwater sensor networking. In: Wireless Communications and Networking Conference, 2006. WCNC 2006, vol. 1, pp. 228–235. IEEE (2006)

    Google Scholar 

  9. Jurdak, R., Lopes, C.V., Baldi, P.: Battery lifetime estimation and optimization for underwater sensor networks. IEEE Sensor Network Operations (2004)

    Google Scholar 

  10. Kar, S., Moura, J.M.: Sensor networks with random links: topology design for distributed consensus. IEEE Trans. Signal Process. 56(7), 3315–3326 (2008)

    Google Scholar 

  11. Kar, S., Moura, J.M.: Distributed consensus algorithms in sensor networks with imperfect communication: link failures and channel noise. IEEE Trans. Signal Process. 57(1), 355–369 (2009)

    Google Scholar 

  12. Lanbo, L., Shengli, Z., Jun-Hong, C.: Prospects and problems of wireless communication for underwater sensor networks. Wireless Commun. Mobile Comput. 8(8), 977–994 (2008)

    Google Scholar 

  13. Ren, W., Beard, R.: Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Trans. Autom. Control 50(5), 655–661 (2005)

    Article  MathSciNet  Google Scholar 

  14. Sehgal, A., David, C., Schonwalder, J.: Energy consumption analysis of underwater acoustic sensor networks. In: OCEANS 2011 (2011)

    Google Scholar 

  15. Tsitsiklis, J., Bertsekas, D., Athans, M.: Distributed asynchronous deterministic and stochastic gradient optimization algorithms. IEEE Trans. Autom. Control 31(9), 803–812 (1986)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Ameen Chilwan .

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Chilwan, A., Amelina, N., Mao, Z., Jiang, Y., Vergados, D.J. (2014). Consensus Based Report-Back Protocol for Improving the Network Lifetime in Underwater Sensor Networks. In: Kermarrec, Y. (eds) Advances in Communication Networking. EUNICE 2014. Lecture Notes in Computer Science(), vol 8846. Springer, Cham. https://doi.org/10.1007/978-3-319-13488-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-13488-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13487-1

  • Online ISBN: 978-3-319-13488-8

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