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Energy-Based Target Numeration in Wireless Sensor Networks
Yan Guo; Bei Hua; Lihua Yue;
Future generation communication and networking (fgcn 2007)
Volume 2,
6-8 Dec. 2007
Page(s):380
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385
Abstract:
Target numeration is of great importance for activity monitoring applications in wireless sensor networks (WSNs); however it is also a challenging problem in a WSN only equipped with simple amplitude sensors. Only a few algorithms have been proposed to solve the problem of target counting, and their accuracy and computational complexity is not satisfactory. This paper provides a two- step energy-based target numeration (EBTN) algorithm that firstly groups the sensor nodes that detect a target into separate clusters, and then calculates the number of targets covered by each cluster based on the total signal energy collected over the cluster. A polynomial regression function is used to approximate the signal strength over a cluster, and the total energy is estimated by taking the integral of the function over the area. By combining with preliminary clustering step, energy-based target counting greatly improves the counting accuracy. Experiments also show that EBTN requires lower node density and computational complexity compared with other algorithms.
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