Keywords: Compressive Sensing, Network Lifetime, Clustering, Energy Saving, Data Aggregation, WSN
Extensive research approaches have offered wireless sensor networks (WSN) is being used across wide range applications for wireless data collection, communication and smart computing. Sensor nodes are tiny, battery operated and integrated with smart computing functions to sense the physical environment, convert digital data and forward it to data collection node. However, sensor nodes have restricted resource and limited battery, continuous sensing of physical environment consumes more power and drains sensor node battery which may cause node to go dead very fast. Thus, energy conservation in WSN is considered as primary concern to withstand the node for prolonged period. Compressive sensing (CS) based WSN optimises large number of transmissions, balance the traffic load and promise to provide robust solution. Cluster based approaches have been proven energy efficient to extend network lifetime which has always been a bottleneck for WSNs. This paper aims to propose energy saving scheme for cluster based compressive data gathering to improve energy efficiency of WSN and increase network lifetime. In this scheme, existing LEACH is modified to energy saving improved LEACH (ESI-LEACH) for cluster structure and the features of compressive sensing and optimal tree-based data aggregation is combined to provide QoS requirement. The ESI-LEACH scheme is simulated using event driven simulator tool, performance results are evaluated in terms of QoS metrics.