Performance Analysis of Static and Dynamic Clustering Protocols for Wireless Sensor Network

Abstract

Power consumption is a critical issue in wireless sensor networks, since sensor nodes are typically battery powered and have limited energy reserves. Energy efficiency is considered one of the most important measures in the energy field. Clustering algorithms are the main techniques to improve the energy efficiency of wireless sensor networks (WSNs). In the clustering algorithm, the sensor nodes are organized into different groups namely clusters managed by a sensor node called Cluster Head (CH). The CH is used to forward data received by its numbers to the base station (BS) for the analysis. In the literature, different Clustering algorithms are proposed either dynamically or statically. The algorithms based on Dynamic Clustering (DC) formed the clusters in each round based on some criteria or randomly in set-up phase. But in the algorithms based on Static Clustering (SC), the clusters are formed only in the first rounds and remains fixed during network operation. Most researchers do not specify the type of clustering used but it can be known from the algorithm. In the paper, we evaluate both algorithms DC and SC to know the optimal algorithms which improve network lifetime and enhance energy in WSNs. The simulation results show that the algorithms based on static clustering is more efficient than other algorithms based on dynamic clustering.