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A Balanced Energy Efficient (BEE) Routing Scheme for Underwater WSNs

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 994))

Abstract

Underwater sensor networks have been emerging an extraordinary concern of the scholarly world in term of various aspect of life like monitoring of oil gas, pollution, and tsunami, ocean surveillance for defense strategies, seismic monitoring, equipment monitoring etc. The sensor node consumes more energy and load distribution suffer from imbalance at long distance. In this paper, we present a Balanced Energy Efficient (BEE) algorithm to diminish the consumption of energy among different nodes of network. The BEE forms a model for the consumption of energy in view of residual energy to choose the ideal next-hop sensor node for processing of data to destination node. In this scheme, the numbers of nodes are uniformly positioned in a network field and the destination sink node is positioned at the top of water. This technique is appropriate for both networks like dynamic and static. The anticipated scheme aims to balance the energy distribution between different nodes of network field to extend the effort time of nodes associating with present techniques. Simulation results of the anticipated technique are done to demonstrate the adequacy of BEE, which achieves superior results than the illustrative techniques in view of energy consumption.

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References

  1. Chandrasekhar, V., Seah, W.K., Choo, Y.S., Ee, H.V.: Localization in underwater sensor networks: survey and challenges. In: Proceedings of the 1st ACM International Workshop on Underwater Networks, pp. 33–40 (2006)

    Google Scholar 

  2. Bayrakdar, Y., Meratnia, N., Kantarci, A. A comparative view of routing protocols for underwater wireless sensor networks. In: OCEANS 2011 IEEE Spain, pp. 1–5. IEEE (2011)

    Google Scholar 

  3. Babiker, A., Zakaria, N.: Energy efficient communication for underwater wireless sensors networks. In: Energy Efficiency in Communications and Networks. IntechOpen (2012)

    Google Scholar 

  4. Al-Dharrab, S., Uysal, M., Duman, T.M.: Cooperative underwater acoustic communications. IEEE Commun. Mag. 51(7), 146–153 (2013)

    Article  Google Scholar 

  5. Wahid, A., Kim, D.: An energy efficient lacalization-free routing protocol for underwater wireless sensor networks. Int. J. Distrib. Sens. Netw. 8, 307246 (2012)

    Google Scholar 

  6. Khan, J.U., Cho, H.-S.: A distributed data-gathering protocol using AUV in underwater sensor networks. Sensors 15(8), 19331–19350 (2015)

    Google Scholar 

  7. Azam, I., Majid, A., Ahmad, I., Shakeel, U., Maqsood, H., Khan, Z.A., Javaid, N.: SEEC: sparsity-aware energy efficient clustering protocol for underwater wireless sensor networks. In: IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), pp. 352–361 (2016)

    Google Scholar 

  8. Coutinho, R.W.L., Boukerche, A., Vieira, L.F.M., Loureiro. A.A.F.: Geographic and opportunistic routing for underwater sensor networks. IEEE Trans. Comput. 65(2), 548–561 (2016)

    Google Scholar 

  9. Latif, K., Javaid, N., Ahmad, A., Khan, Z.A., Alrajeh, N., Khan, M.I.: On energy hole and coverage hole avoidance in underwater wireless sensor networks. IEEE Sens. J. 16(11), pp. 4431–4442 (2016)

    Google Scholar 

  10. Yoon, S., Azad, A.K., Oh, H., Kim, S.: AURP: an AUV-aided underwater routing protocol for underwater acoustic sensor networks. Sensors 12(2), 1827–1845 (2012)

    Article  Google Scholar 

  11. Yan, H., Shi, Z., Cui, J.-H.: DBR: depth-based routing for underwater sensor networks. In: NETWORKING: Ad Hoc and Sensor Networks, Wireless Networks. Next Generation Internet, pp. 72–86 (2008)

    Google Scholar 

  12. Diao, B., Xu, Y., An, Z., Wang, F., Li, C.: Improving both energy and time efficiency of depth-based routing for underwater sensor networks. Int. J. Distrib. Sens. Netw. 11, 781932 (2015)

    Google Scholar 

  13. Yu, H., Yao, N., Wang, T., Li, G., Gao, Z., Tan, G.: WDFAD-DBR: weighting depth and forwarding area division DBR routing protocol for UASNs. Ad Hoc Netw. 37, 256–282 (2016)

    Google Scholar 

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Correspondence to Wahab Khan .

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Khan, W., Hua, W., Ayaz, M., Shahid Anwar, M., Ahmad, S. (2020). A Balanced Energy Efficient (BEE) Routing Scheme for Underwater WSNs. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_8

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