MA Assisted and Restrained Sink Mobility based Economical Data Processing in WSNs: MARS

Abstract

Wireless Sensor Network (WSN) is composed of large number of tiny sensor node which have sensing and computation ability. In past WSNs, lots of Data Aggregation scheme has been proposed for prolong network lifetime and eliminate data redundancy. In general sink collects data from all deployed nodes in single processing cycle but region critical WSNs and long communication distance between nodes and sink demands a scheme which process data region wise. The presented scheme adopts sink mobility for region critical data gathering and avails Mobile Agent (MA) for prolonging network lifetime. This paper proposes MA assisted and Restrained Sink mobility based economical data processing in WSNs i.e. MARS. The proposed scheme works for sink trajectory as well as for Data Aggregation. Our simulation result shows that MARS utilizes networks' energy efficiently and prolongs Sensor Network lifetime.