Energy-efficient contour mapping aggregation in Wireless Sensor Networks

Contour mapping is an energy-efficient method for geographic correlated value monitoring in Wireless Sensor Networks(WSNs), it suppresses reporting nodes by selecting nodes that are on a contour line. A sensor network is often densely deployed in applications such as temperature or humidity monitoring. In these applications, contour mapping plays a crucial role in data aggregation and data transmission reduction when nodes are densely deployed. In this paper, we propose a novel scheme called DABC (data aggregation based on Bezier curves) to implementing contour mapping in WSNs. In DABC algorithm, sensor nodes that play as sources to report to the sink are intelligently selected through method based on Bezier curve. Simulation on a temperature monitoring scenario shows that DABC saves an amount of energy while achieves almost same fidelity of contour mapping, comparing with traditional methods.