Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Approximate isocontours and spatial summaries for sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Gradient Boundary Detection for Time Series Snapshot Construction in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
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This paper presents algorithms for efficiently detecting the variation of a distributed signal over space and time using large scale wireless sensor networks. The proposed algorithms use contours for estimating the spatial distribution of a signal. A contour tracking algorithm is proposed to efficiently monitor the variations of the contours with time. Use of contours reduces the communication cost by reducing the participation of sensor nodes for the monitoring tasks. The proposed schemes use multi-sensor collaboration techniques and non-uniform contour levels to reduce the error in reconstructing the signal distribution. Results from computer simulations are presented to demonstrate the performance of the proposed schemes.