Balanced Energy Efficient Clustering (BEEC) method for Heterogeneous Wireless Sensor Network using NS2

Background/Objectives: This article presents a new method to improve the energy efficiency of the network through balanced method and stable clustering. Methods/Analysis: we propose a new method for heterogeneous wireless sensor network to improve the energy efficiency and balancing method for stable clustering. We compared the energy utilization with the previous LEACH and EEHRP protocols and obtained improved output result for throughput between the intervals/rounds. Compared to LEACH and EEHRP the packet delivery ratio is much higher in the proposed BEEC protocol. Findings: One of the methods to minimize the power utilization and improve the network lifetime of a Wireless Sensor Network is clustering. Usually Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is used to increase the network lifetime and minimize the energy utilization in WSN through clustering using homogeneous type of WSN. Sensor nodes with different characteristics are used in heterogeneous WSN. These nodes differ in their size of memory, transmission range and level of energy. There are various methods suggested already for heterogeneous WSNs. In this paper, we propose a novel approach namely Balanced Energy Efficient Clustering (BEEC) method to achieve energy efficient and minimum CH (Cluster Head) communication to reach the BS (Base Station). This causes less delay and reduces unnecessary transmission so that minimum energy is consumed. This method uses various power limit sensors to maintain stable cluster and minimize hop count using network division method and also elect CH in each cluster to transmit the data to reach BS. High energy nodes are considered as CHs which are nearer to the BS and low energy nodes are considered as leaf nodes. This will balance the energy and can achieve stable clustering. This proposed method is used for multihop heterogeneous WSN to enhance the lifetime, to improve the energy efficiency and to balance the energy consumption in WSN. The experimental results show the improvements obtained using the proposed method. Applications/Improvements: This method can be useful to improve the stability of the network, throughput, decreases delay and increase the network lifetime by using this energy efficient method.