Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.pmcj.2009.07.009
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dc.titleConnectivity monitoring in wireless sensor networks
dc.contributor.authorZhang, M.
dc.contributor.authorChan, M.C.
dc.contributor.authorAnanda, A.L.
dc.date.accessioned2013-07-04T07:39:06Z
dc.date.available2013-07-04T07:39:06Z
dc.date.issued2010
dc.identifier.citationZhang, M., Chan, M.C., Ananda, A.L. (2010). Connectivity monitoring in wireless sensor networks. Pervasive and Mobile Computing 6 (1) : 112-127. ScholarBank@NUS Repository. https://doi.org/10.1016/j.pmcj.2009.07.009
dc.identifier.issn15741192
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39325
dc.description.abstractConnectivity monitoring is useful in practical deployment of wireless sensor network. In order to understand the behavior and performance bottleneck, knowledge of the network connectivity is crucial. In this paper, we propose a flexible and efficient connectivity monitoring algorithm (H 2CM) that has three components and operates in a divide-and-conquer manner. The components include hop vector distance based filtering, Bloom filters and signature hashing and are designed to work with different combinations of network and neighbor set sizes. In simulation, communication cost reduction of H 2CM compare to maximal compression of neighborhood information varies from 65% to 85% for large networks (>1000 nodes) and from 40% to 70% for a medium size network (a few hundred nodes). We have also implemented the algorithm in TinyOS and evaluated its performance on a testbed with 34 motes. Lastly, we study the problem of node failure detection - a simple application of connectivity monitoring. We show that by combining H 2CM with the concept of dominating set, the communication cost can be drastically reduced compare to traditional data collection method. © 2009 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.pmcj.2009.07.009
dc.sourceScopus
dc.subjectBloom filter
dc.subjectConnectivity
dc.subjectHashing
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.pmcj.2009.07.009
dc.description.sourcetitlePervasive and Mobile Computing
dc.description.volume6
dc.description.issue1
dc.description.page112-127
dc.identifier.isiut000208188400008
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