An Adaptive Method For Selecting Cluster Head Using Analytical Hierarchy Process(Ahp)

Abstract

Nowadays, Wireless Sensor Network had made a major contribution to surveillance, target tracking and healthcare. Due to the nature of its complex functions in sensing and monitoring the environment at a diverse area, energy efficiency is one of the primary objectives that need to be considered to prolong the network lifetime. Cluster based is one the most common use and suitable protocol in enhancing energy efficiency in WSN. However, an efficient cluster head (CH) selection mechanism is still needed to ensure that the most appropriate CH is selected. Selecting CH based on single criteria could lead to inappropriate decision. Thus, a holistic view of the CH considering multiple criteria is more promising. Four criteria were considered for the CH selection in our approach; number of neighbour nodes (NNN), residual energy (RE), initial energy (IE) and distance of nodes to base station (DTBS). In this paper, we demonstrate that the use of Analytic Hierarchy Process (AHP) helps in CH selection better and we managed to identify the distance as the important criteria in the selection of CH.