Authors: Khaled Hadi, C.M. Krishna
Addresses: Department of Computer Engineering, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait. ' Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA 01003, USA
Abstract: Binary proximity sensors are an inexpensive approach to target tracking in cyber-physical and other applications. In this paper, we use analysis and simulation to study tradeoffs in the management of such networks. The use of simple averaging is compared against a more complex convex hull calculation for position estimation. We model the impact of sensor density on the accuracy of the position estimate and present performance results associated with the choice of sampling period and sensor wakeup area. We provide an iterative filtering approach to protect against false positives. We also model the effect of a non-uniform sensor scatter.
Keywords: target tracking; binary sensing; sensor networks; probabilistic waking; proximity sensors; network management; simulation; sensor density; position estimation; sensor scatter.
International Journal of Sensor Networks, 2010 Vol.8 No.2, pp.109 - 121
Available online: 13 Aug 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article