Abstract
We present a distributed algorithm for environmental monitoring of a scalar field (such as temperature, intensity of light, atmospheric pressure, etc.) using a random sensor network. We derive an error estimate, discuss the average complexity of the algorithm, and present some simulation results.
Partially supported by the NSF grant ITR/SI: Societal Scale Information Systems: Technologies, Design and Applications, number EIA-0122599.
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Simić, S.N., Sastry, S. (2003). Distributed Environmental Monitoring Using Random Sensor Networks. In: Zhao, F., Guibas, L. (eds) Information Processing in Sensor Networks. IPSN 2003. Lecture Notes in Computer Science, vol 2634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36978-3_39
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DOI: https://doi.org/10.1007/3-540-36978-3_39
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