Energy Proficient Rendezvous Scheduling with Mobile Sink using Compressive Sensing in Wireless Sensor Networks

Abstract

Background/Objectives: Energy efficiency and optimization of battery resources are the most important design standards for the wireless sensor networks. Methods: Using Compressive sensing the number of transmissions of sensor nodes is reduced thereby using the battery resources of the sensor node efficiently. In this paper, a cluster-based hybrid method is proposed using compressive sensing with mobile sink, which collects data periodically along the predefined path and uploads data to its respective relay nodes which further communicates the information to the collection head. The data is transmitted to the nearest rendezvous node in a certain number of rounds depending on the compression ratio; after undergoing compression at individual cluster heads. The main reason for the extended lifetime of this network is the reduction in the number of transmissions and the reduced transmission range of nodes. Findings: Investigation a lout comes display that the proposed algorithm can considerably out class numerous prevailing procedures with high stability and good energy efficiency. Improvements: The stability of the proposed algorithm is increased and holds good even when the area of the region increased with the lowest rate of energy dissipation.