Energy Efficient Query Processing for WSN based on Data Caching and Query Containment

Abstract

Sensor Networks (WSNs) are deployed to capture the sensed data from tiny sensors spread around the physical environment. In general, WSNs are used to monitor physical phenomena like temperature, pressure, humidity etc. In most of the cases they are deployed in remote geographic locations and operate unmanned. Usually, these sensors are battery operated. Due to these deployment circumstances, battery recharge or replacement becomes almost impossible. Hence, the foremost requirement of any WSN is to utilize the battery power in an efficient way. A sensor node expends most of its energy in data transmission. It is observed that a query submitted to WSN may request same data or subset of data as that of another request. In this paper, a novel query processing scheme is proposed that exploits the cached results at the BS and the commonality among the queries which require data from the network. This can significantly minimize the transmission and processing costs w.r.t., energy in the network. The experimental results proved the same.