An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Network
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48781-1_9
Reference15 articles.
1. Singh, B., Lobiyal, D.K.: Energy-aware cluster head selection using particle swarm optimization and analysis of packet retransmissions in WSN. Procedia Technol. 4, 171–176 (2012). https://doi.org/10.1016/j.protcy.2012.05.025
2. Yarinezhad, R., Hashemi, S.N.: Solving the load balanced clustering and routing problems in WSNs with an fpt-approximation algorithm and a grid structure. Pervasive Mob. Comput. 58, 101033 (2019). https://doi.org/10.1016/j.pmcj.2019.101033
3. Yalçın, S., Erdem, E.: TEO-MCRP: thermal exchange optimization-based clustering routing protocol with a mobile sink for wireless sensor networks. J. King Saud Univ.-Comput. Inform. Sci. 34, 5333–5348 (2022). https://doi.org/10.1016/j.jksuci.2022.01.007
4. Daas, M.S., Chikhi, S., Bourennane, E.: A dynamic multi-sink routing protocol for static and mobile self-organizing wireless networks. A routing protocol for Internet of Things. Ad Hoc Networks 117, 102495 (2021). https://doi.org/10.1016/j.adhoc.2021.102495
5. Mitra, P., Mondal, S., Hassan, K.L.: Chapter 16 – Energy efficient rendezvous point-based routing in wireless sensor network with mobile sink. In: Bhattacharyya, S., Dutta, P., Samanta, D., Mukherjee, A., Pan, I. (Eds.) Recent Trends in Computational Intelligence Enabled Research, pp. 279–293. Academic Press (2021)
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