Abstract
Geological disasters frequently occur in the mountainous area which seriously threaten the safety of railways and human life. Although wireless sensor network (WSN) technology can be used in the geological disaster remote monitoring system by deploying sensor nodes in the mountainous area, the difficulties faced in long-term and large-area monitoring, such as limited battery energy of sensor nodes and high energy consumption of long-distance transmission. In order to prolong the network life and extend monitoring range, this paper takes the distribution and the residual energy of sensor nodes into account to propose an uneven clustering multi-hop routing protocol for geological disaster monitoring sensor network which server can use to realize optimal clustering formation and establish energy efficient routing. In our protocol, particle swarm optimization (PSO) algorithm is used to realize dynamic uneven clustering and minimum spanning tree (MST) algorithm is used to establish energy efficient inter-cluster multi-hop routing that will reduce the energy consumption of long-distance transmission. Compared with the previous routing protocols, the simulation results show the superiority of the proposed protocol in balancing energy consumption of sensor nodes, prolonging network life and long-distance low-power transmission.
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Acknowledgements
The work is supported by the Research Project of China Railway Eryuan Engineering Group CO. LTD. (No. KYY2019033(19-20)) and the Support project of Key Research and Development of Chengdu, China (No. 2019-YF08-00160-GX).
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Wei, Y., Wang, X., Gou, X., Pan, Z., Li, Z. (2020). Uneven Clustering Routing Protocol for Geological Disaster Monitoring Sensor Network. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12488. Springer, Cham. https://doi.org/10.1007/978-3-030-62463-7_14
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DOI: https://doi.org/10.1007/978-3-030-62463-7_14
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