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An Energy-Efficient Data Acquisition Technique for Hierarchical Cluster-Based Wireless Sensor Networks

The minimization of energy consumption related to data acquisition is of prime importance in energy constrained Wireless Sensor Networks (WSNs). The application of Compressive Sensing (CS) scheme can promote effective utilization of limited energy and radio resources of WSN, and reduce the wireless bandwidth needed for communication by decreasing the number of transmissions as well as the amount of data to be processed. This paper addresses the issue of energy-efficient data acquisition in WSN through the integration of CS and hierarchical routing method. The proposed technique divides the WSN into various clusters, and a set of Cluster-Heads (CH-set) is used to manage and control the activities within each cluster. The function of a CH-set member is to compress the acquired data from its respective cluster members (CMs) using the CS scheme. The results of simulation clearly demonstrate that the proposed CBHRP-CS technique facilitates energy-efficient data acquisition and is effective in improving the WSN lifetime over existing algorithms.