Distance based Angular Clustering Algorithm (DACA) for heterogeneous wireless sensor networks
Navjot Kumar, Surinder Pal Kaur · 2016
Today the main concern is to improve the lifetime of Wireless Sensor Network (WSN) because WSN is collection of no. of small battery equipped sensor nodes which consume battery to communicate with each other and once battery is dead it is not possible to recharge it. They have the huge responsibility of sensing the environment, collect the data and then transfer it to Base station. For transmitting the data from edge node to parent node, sensor nodes must know the path which may or may not be the shortest that increases the overhead of path formation. To overcome the path formation overhead, clustering is one solution which further leads to the problem of non-coverage area. In this work, we are proposing a Distance based Angular Clustering Algorithm (DACA) on heterogeneous network which will overcome the path formation and non-coverage area problem by combining the data-aggregation algorithm to prolong the lifetime of wireless network.