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Deriving efficient mobile agent routes in wireless sensor networks with NOID algorithm

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dc.contributor.author Mpitziopoulos, A en
dc.contributor.author Gavalas, D en
dc.contributor.author Konstantopoulos, C en
dc.contributor.author Pantziou, G en
dc.date.accessioned 2014-03-01T02:51:04Z
dc.date.available 2014-03-01T02:51:04Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35338
dc.subject.other Heuristic algorithms en
dc.subject.other Java programming language en
dc.subject.other Mobile telecommunication systems en
dc.subject.other Problem solving en
dc.subject.other Sensor data fusion en
dc.subject.other Wireless sensor networks en
dc.subject.other Distributed sensor network en
dc.subject.other Mobile agents (MA) en
dc.subject.other Near-optimal itineraries en
dc.subject.other Network routing en
dc.title Deriving efficient mobile agent routes in wireless sensor networks with NOID algorithm en
heal.type conferenceItem en
heal.identifier.primary 10.1109/PIMRC.2007.4394337 en
heal.identifier.secondary http://dx.doi.org/10.1109/PIMRC.2007.4394337 en
heal.identifier.secondary 4394337 en
heal.publicationDate 2007 en
heal.abstract In this article, we consider the problem of calculating an appropriate number of near-optimal (subject to a certain routing objective) routes for mobile agents (MAs) that incrementally fuse the data as they visit the nodes in a distributed sensor network. We propose an improved heuristic algorithm which computes an approximate solution to the problem by suggesting an appropriate number of MAs and constructing near-optimal itineraries for each of them. The performance gain of our algorithm over alternative approaches both in terms of cost and task completion latency is demonstrated by a quantitative evaluation and also in simulated environments through a Java-based tool. © 2007 IEEE. en
heal.journalName IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC en
dc.identifier.doi 10.1109/PIMRC.2007.4394337 en


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