Energy-Aware Clustering for Wireless Sensor Networks using Particle Swarm Optimization

By N. A. A. Latiff, Charalampos C. Tsimenidis, Bayan S. Sharif. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2007

377 citations recorded by the source corpus.

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Clustering in sensor networks: A literature survey (2014, methodology): “The paper provides no comparison of energy consumption or network lifetime between the proposed algorithms and other methods, where they are the key metrics in WSNs. PSO-C (Latiff et al., 2007) is a centralized PSObased clustering method with the objective of minimizing the intra-cluster distance an”
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks (2016, methodology): “…cluster formation where the non-CH sensor nodes join a CH depending on a weight function, whereas, in the existing algorithms [7, 21, 23, 37, 41] non-CH sensor nodes simply join the CH by considering distance only, which may cause imbalance load of the CHs and may lead to serious energy…”
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey (2011, background): “physical distances between the nodes and their cluster heads in [27].”