Cluster Based Smart Random Walk for Data Aggregation in Wireless Sensor Network

Abstract

Wireless Sensor Network (WSN) is a collection of sensor devices having limited communication range and battery power. It has unreliable wireless medium for data transmission hence reliable message delivery is a challenging task for routing protocols designed for WSN. In multiple scenarios a Random Walk (RW) in WSNs is proved to be energy efficient for routing and load balancing. Further clustering methodologies provide a novel idea of multi-hop data gathering and aggregation which significantly reduces redundant data transmission. The present work explores the integration of RW and clustering schemes with an objective to improve upon existing routing protocols in terms reliable data transmission and network lifetime. Hence, a hybrid Cluster-Based Smart Random Walk (CBSRW) routing technique for data collection and aggregation is proposed in this paper. It has two phases: Clustering & data aggregation and CBSRW. Experimental results and comparative analysis show that the proposed work achieves an enhanced lifetime and efficient packet delivery ratio compared to the conventional state of the art schemes designed for the domain.