Improving Energy Efficiency By Optimizing Ch Selection Strategy And Optimal Relay Node Selection Process In Wsns

Abstract

In WSNs, a major challenge is achieving energy efficiency. The limitation in energy and its consumption is a significant problem and needs to be addressed with effective and reliable solutions. To decrease the energy conservation for wireless sensor networks (WSNs), clustering is used as an efficient method. Most of the clustering algorithms cluster the network and selects CH for easy management of the clusters. But, these clustering algorithms have specific restrictions like higher execution time especially for large scale network that increases the overhead of a network. Optimal relay node selection is a crucial task to save more energy as improper node selection leads to unnecessary energy utilization in sensor nodes. So there is a need of developing a combined algorithm that optimizes both clustering and optimal relay node selection processes. Here we introduce a new energy efficiency management algorithm, MGSA-ORS (Modified Gravitational Search algorithm for optimal relay node selection). This algorithm selects CHs based on multiple parameters like the sensor node’s closeness to the BS, residual energy, and probability value. Owing to the distance between nodes, sensor node distance to BS is considered to avoid the unnecessary utilization of energy. Also, the proposed MGSA considers every node’s distance from their respective CHs and residual energy and delay in the links as the major parameters for relay node selection. By comparing with the other existed techniques like LEACH (low energy adaptive clustering hierarchy), the proposed algorithm out performs the other protocols in terms of energy efficiency, improved data delivery rate, and network lifetime. Approximately 25%-30% energy is saved with the help of an efficient CH selection strategy and MGSA optimal relay node selection method.