Abstract—Efficient utilization of sensor energy to prolong the network lifetime has been the focus of much research on WSNs. In order to save the overall energy of the system and to balance the load among sensors nodes we propose a Modified PSO sleep scheduling algorithm for WSNs. The Modified PSO algorithm includes mutation and crossover functions inspired in GA and searches for both saving-energy and high-coverage rate configurations. In addition, clustering routing protocol is needed to reduce the communication cost and evaluate the network lifetime. In this paper, Fuzzy C-Means (FCM) makes the clustering algorithm. Simulations we have carried out show that by allowing better configuration, the asynchronous scheme greatly increase the WSNs' lifetime.
 

Index Terms—WSN, Lifetime, modified PSO, fuzzy C-means

Cite: Abdullah Alshahrani, Majed Abdouli, Mohamed Alqarni, Abdullah Alamri, and Ahmed S Alghamdi, "Asynchronous Optimization Algorithms for the Enhancement of Lifetime in WSNs," Journal of Communications, vol. 12, no. 11, pp.  636-643, 2017. Doi: 10.12720/jcm.12.11.636-643.