An energy-efficient cluster head selection in wireless sensor network using grey wolf optimization algorithm

Since the nodes are battery-powered devices which are deployed in a downtrodden area, it is not possible to reconstitute back which poses a limitation in case of a vast set up of wireless sensor networks [1-3]. Countering to this need, many protocols and schemes have been evolved. Since routing mainly confides on battery power, clustering captures its attention among the researches due to its efficiency during information exchange. LITTERATURE REVIEW Vast research has been plunged in the area of wireless sensor networks in order to perpetuate the lifetime of the network. Since the selection of cluster heads is an NP-hard problem each algorithm has its own flaws as well. B-LEACH [25] is another extension where the communication is entirely depending upon the position of the cluster heads which needs no information about all the other nodes inside the cluster. [...]the residual energy of the CHs gets drained which further reduces the lifetime of the network.