Cluster-based optimal sink repositioning technique for WSNs using an improved glowworm swarm optimisation and S* position search algorithm Online publication date: Mon, 08-Feb-2021
by B. Santhosh Kumar; P. Trinatha Rao
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 11, No. 1, 2021
Abstract: Wireless sensor network is a group of organised sensor nodes that are limited to their resources such as limited bandwidth, energy etc. The data gathered from sensor nodes will be forwarded to the sink node to take proper actions. In order to avoid the failures, the sink nodes should be positioned in the better place for the resource optimisation. In this paper, first we will apply clustering for grouping the nodes that are adjacent to sink node. Clustering is done by an improved glowworm swarm optimisation (IGSO) algorithm. The node which has the shortest path is selected for position. Hence, this approach is used to find the optimal position for all the sinks in order to optimise the lifetime of the network and move according with intelligent sink positioning.
Online publication date: Mon, 08-Feb-2021
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Internet Technology and Secured Transactions (IJITST):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com