Analysis of Decentralized Clustering Hierarchy For Highly Distributed WSN
Journal of Engineering, Scientific Research and Applications (JESRA), Volume 2, Issue 2, July – December, 2016
5 Pages Posted: 8 Dec 2016
Date Written: December 6, 2016
Wireless Sensor Network (WSN) comprises of a group of spatially disseminated sensor nodes which are unified without using wires. Wireless sensor network has been initially motivated for the use in military applications like border monitoring. In modern years, it is largely focused on civilian applications such as environment monitoring, object tracking and biomedical applications. Grouping of sensor nodes into clusters have been widely pursued by the research community in order to attain the network scalability objective. Every cluster has a leader, often referred to as the cluster head. A cluster head may be chosen by the sensors in a cluster or pre-assigned by the network designer. A cluster head may also be just one of the sensor nodes which are rich in resources. The esteemed ideologies for clustering process are to elect the cluster heads with supplementary enduring energy and to exchange them sporadically. Sensors at considerable traffic positions speedily deplete their energy properties and perish much before, parting behind energy hole and network blockade. Clustering goes after some compensation like network scalability, confining route setup, consuming communication bandwidth competently and takes the benefit of network lifespan. By the data aggregation process, unneeded communication between the sensor nodes, cluster head and the base station is evaded. In this editorial note, an assessment of energy efficient optical low energy adaptive clustering hierarchy has been achieved and the depictions have been compared with the dominant low energy adaptive clustering hierarchy algorithm, amid two disconnected wireless sensor network fields.
Keywords: Distributed Clustering Algorithm, Wireless Sensor Network, Energy Efficiency, Clustering & Network Lifetime
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