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Energy Efficient Data Management in Wireless Sensor Networks

In a Wireless Sensor Network (WSN), sensor nodes are small inexpensive sensing and computing devices collaborating to form a network. However, they work with limited power and memory in hard-to-reach locations and extreme weather conditions. In general, a large number of tiny sensor nodes are usually deployed randomly to monitor one or more physical phenomena like- temperature, humidity etc. Due to limited power resources sensing, storage and retrieval of data become critical issues in wireless sensor data management. In this paper we propose a novel data management scheme that facilitates- (i) power efficient sensing, (ii) optimal utilization of storage space and (iii) energy and time efficient query processing in a WSN. Our proposed data sensing and storage schemes are based on sleep-scheduling and collaborative sensing techniques respectively. Next, our query processing scheme involves a Lookup technique that exploits the collaborative sensing which is a result of sleep-scheduling of nodes in a WSN. Our simulation results have proved the validity of our proposal.