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A Model Predictive Approach to Fault-Tolerant WASNs
In wireless ad hoc sensor networks (WASNs), a crucial issue is to reduce power consumption while satisfying some key network properties. In this paper, we propose a fault-tolerant topology control that optimizes the lifetime of the network at a given degree k of connectivity by minimizing power cons...
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creator | Papalini, M. Polzonetti, A. Riganelli, O. |
description | In wireless ad hoc sensor networks (WASNs), a crucial issue is to reduce power consumption while satisfying some key network properties. In this paper, we propose a fault-tolerant topology control that optimizes the lifetime of the network at a given degree k of connectivity by minimizing power consumption. Our topology control is fully distributed and uses a model-based transmission power adaptation strategy based on model-predictive control. Specifically, the future network behavior is predicted in order to derive an optimal transmission power assignment which tracks the desired connectivity level minimizing energy. Our experimental results show that our localized solution is more scalable and requires much less communication bandwidth and energy than the centralized approach. |
doi_str_mv | 10.1109/ICNS.2009.84 |
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Our experimental results show that our localized solution is more scalable and requires much less communication bandwidth and energy than the centralized approach.</description><subject>Batteries</subject><subject>Distributed control</subject><subject>Energy consumption</subject><subject>Fault tolerance</subject><subject>fault-tolerant</subject><subject>model predictive</subject><subject>Network topology</subject><subject>Predictive models</subject><subject>Robustness</subject><subject>Sensor systems</subject><subject>WASN</subject><subject>wireless ad hoc sensor network</subject><subject>Wireless communication</subject><subject>Wireless sensor networks</subject><isbn>9781424436880</isbn><isbn>1424436885</isbn><isbn>0769535860</isbn><isbn>9780769535869</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjs1Kw0AURkdEUNvs3LmZF0i8k_m9yxCsLdRaaMVlGXNvMBJNSKLg2xvQb3M2h8MnxI2CTCnAu025O2Q5AGbBnIlr8A6ttsHBuUjQB2VyY7QLAS5FMo7vMM_MAuCV0IV87IhbuR-YmmpqvlkWfT90sXqTUydX8aud0mPX8hA_J_lSHHbjUlzUsR05-edCPK_uj-U63T49bMpimzbK2ykl5XROoHRNOlp2gYn8_IVQeWDLliyG2tQVmVfvrK1QsyZW4BTWSFovxO1ft2HmUz80H3H4ORn0zgejfwHA60OV</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Papalini, M.</creator><creator>Polzonetti, A.</creator><creator>Riganelli, O.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>A Model Predictive Approach to Fault-Tolerant WASNs</title><author>Papalini, M. ; Polzonetti, A. ; Riganelli, O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-d1632d013fd3a5e68edd7142d9170e5e5d598f4fcd4b7655c93e3de10619f9d33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Batteries</topic><topic>Distributed control</topic><topic>Energy consumption</topic><topic>Fault tolerance</topic><topic>fault-tolerant</topic><topic>model predictive</topic><topic>Network topology</topic><topic>Predictive models</topic><topic>Robustness</topic><topic>Sensor systems</topic><topic>WASN</topic><topic>wireless ad hoc sensor network</topic><topic>Wireless communication</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Papalini, M.</creatorcontrib><creatorcontrib>Polzonetti, A.</creatorcontrib><creatorcontrib>Riganelli, O.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Papalini, M.</au><au>Polzonetti, A.</au><au>Riganelli, O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Model Predictive Approach to Fault-Tolerant WASNs</atitle><btitle>2009 Fifth International Conference on Networking and Services</btitle><stitle>ICNS</stitle><date>2009-04</date><risdate>2009</risdate><spage>348</spage><epage>353</epage><pages>348-353</pages><isbn>9781424436880</isbn><isbn>1424436885</isbn><eisbn>0769535860</eisbn><eisbn>9780769535869</eisbn><abstract>In wireless ad hoc sensor networks (WASNs), a crucial issue is to reduce power consumption while satisfying some key network properties. In this paper, we propose a fault-tolerant topology control that optimizes the lifetime of the network at a given degree k of connectivity by minimizing power consumption. Our topology control is fully distributed and uses a model-based transmission power adaptation strategy based on model-predictive control. Specifically, the future network behavior is predicted in order to derive an optimal transmission power assignment which tracks the desired connectivity level minimizing energy. Our experimental results show that our localized solution is more scalable and requires much less communication bandwidth and energy than the centralized approach.</abstract><pub>IEEE</pub><doi>10.1109/ICNS.2009.84</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Batteries Distributed control Energy consumption Fault tolerance fault-tolerant model predictive Network topology Predictive models Robustness Sensor systems WASN wireless ad hoc sensor network Wireless communication Wireless sensor networks |
title | A Model Predictive Approach to Fault-Tolerant WASNs |
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