Departmental Papers (ESE)
Abstract
In this paper, we present a distributed algorithm for detecting coverage holes in a sensor network with no location information. We demonstrate how, in the absence of localization devices, simplicial complexes and tools from computational homology can be used in providing valuable information on the properties of the cover. In particular, we capture the combinatorial relationships among the sensors by the means of the Rips complex, which is the generalization of the proximity graph of the network to higher dimensions. Our approach is based on computation of a certain generator of the first homology of the Rips complex of the network. We formulate the problem of localizing coverage holes as an optimization problem to compute the sparsest generator of the first homology classes. We also demonstrate how subgradient methods can be used in solving this optimization problem in a distributed manner. Finally, non-trivial simulations are provided that illustrate the performance of our algorithm.
Document Type
Conference Paper
Subject Area
GRASP
Date of this Version
12-9-2008
Date Posted: 21 May 2009
Comments
Tahbaz-Salehi, A.; Jadbabaie, A., "Distributed coverage verification in sensor networks without location information," Decision and Control, 2008. CDC 2008. 47th IEEE Conference on , vol., no., pp.4170-4176, 9-11 Dec. 2008 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4738751&isnumber=4738560
Copyright 2008 IEEE. Reprinted from Proceedings of the 47th IEEE Conference on Decision and Control, 2008 (CDC 2008), vol., no., pp.4170-4176, 9-11 Dec. 2008
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