Abstract
Routing algorithm is the key to prolong the lifetime of the overall wireless sensor network. At present, clustering routing algorithm is more widely used in wireless sensor networks. But this way of transmitting information through the cluster can lead to uneven energy consumption in the network, which is known as the “hot zone” problem. However, the uneven clusters, the way of multi-hop transmission between clusters can solve this problem. According to the characteristics of routing in wireless sensor network, this paper analyzes the defects and disadvantages of the current routing algorithm. This paper proposes a series of improvement measures for the current uneven clustering routing algorithm. This paper proposes a new algorithm which has a longer network life and better stability compared with the existing routing algorithm through experimental results and analysis.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., et al.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)
Heinzelman, W.R., Chandrakasan, A., et al.: Energy-efficient communication protocol for wireless microsensor networks. Adhoc Sensor Wirel. Netw. 18, 8020 (2000)
Li, C., Chen, G., Ye, M., et al.: A routing protocol for wireless sensor networks based on nonuniform clustering. Chin. J. Comput. 30(1), 27–36 (2007)
Wang, G., Wang, C.: Improvement of cluster head node selection strategy in Leach protocol. Microelectron. Comput. 26(7), 254–256 (2009)
Zhou, D., Jin, W., Rong, Z.: Hierarchical multi hop clustering routing algorithm for wireless sensor networks. Chin. J. Sens. Actuators 24(1), 73–78 (2011)
Jiang, C., Shi, W., Tang, X., et al.: Uneven clustering routing protocol for wireless sensor networks with energy balance. J. Softw. 34(5), 1222–1232 (2012)
Li, S., Yang, W., Wu, X.: Wireless sensor network routing protocol based on unequal partitioning. J. Comput. Appl. 36(11), 3010–3015 (2016)
Feng, J., Mao, X., Wu, C.: An energy efficient and efficient WSN clustering routing algorithm. Comput. Eng. 38(23), 88–91 (2012)
Lindsey, S., Raghavendra, C., Sivalingam, K.M.: Data gathering algorithms in sensor networks using energy metrics. IEEE Trans. Parallel Distrib. Syst. 13(13), 924–935 (2002)
Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)
Amgoth, T.: Energy and coverage-aware routing algorithm for wireless sensor networks. In: International Conference on Distributed Computing and Internet Technology, pp. 111–121. Springer, New York (2014)
da Silva Rego, A., Celestino, J., Dos Santos, A., et al.: BEE-C: a bio-inspired energy efficient cluster-based algorithm for data continuous dissemination in wireless sensor networks. In: IEEE International Conference on Networks, pp. 405–410. IEEE (2012)
Martins, F.L.J., Celestino, J.J., da Silva Rego, A., et al.: MBEEC: a bio-inspired routing protocol with multihop between cluster-heads for energy saving in WSN. In: Wireless Communications and Mobile Computing Conference, pp. 349–354. IEEE (2015)
Rezaei, E., Baradaran, A.A., Heydariyan, A.: Multi-hop routing algorithm using Steiner points for reducing energy consumption in wireless sensor networks. Wirel. Pers. Commun. 86(3), 1557–1570 (2016)
Yue, L., Dai, Y., Wu, D.: An energy optimization of WSNs non uniform clustering routing protocol. Comput. Eng. Appl. 51(15), 80–85 (2015)
Acknowledgements
This work is supported by National Training Program of Innovation and Entrepreneurship for Undergraduates (201610058096) and (201710058071).
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Song, G., Qu, G., Ma, Q., Zhang, X. (2018). Improved Energy Efficient Adaptive Clustering Routing Algorithm for WSN. In: Li, J., et al. Wireless Sensor Networks. CWSN 2017. Communications in Computer and Information Science, vol 812. Springer, Singapore. https://doi.org/10.1007/978-981-10-8123-1_8
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DOI: https://doi.org/10.1007/978-981-10-8123-1_8
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