Load Balanced Clustering (LBC) framework is a innovative techniques that enhance energy efficiency to extend the network lifetime. Clustering is an effective topology manipulate aroach in wireless sensor networks, which can explosion network scalability and lifetime. A load balanced clustering algorithm is proposed for sensors to self-arrange themselves into clusters.cell divider is used for split the statistics aroximately cluster and cluster head calculation.. The results show that LBC can significantly reduce energy consumptions by assuaging routing techniques on nodes and balancing workload among cluster heads, which achieves 20 percent less facts series time in comparison to SISO cell data accumulating and over 60 percentage energy saving on cluster heads. It also justified the packet overhead and explored the consequences with different numbers of cluster heads within the cluster. The main motivation is to utilize disbursed clustering for scalability, to aoint mobility for energy saving and uniform energy consumption, and to take advantage of a couple of-input and more than one-output MIMO (Multiple Input and Multiple Output) method for concurrent statistics importing to shorten latency.
Digital Object Identifier (DOI)
J. Kavitha, R. and R. Salem Jeyaseelan, W.
"Dynamic Data Delivery and Terrific Transfer in Wireless Sensor Networks,"
Applied Mathematics & Information Sciences: Vol. 12:
3, Article 7.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol12/iss3/7