On Design and Deployment of Fuzzy-Based Metric for Routing in Low-Power and Lossy Networks
Identifieur interne : 000263 ( Main/Exploration ); précédent : 000262; suivant : 000264On Design and Deployment of Fuzzy-Based Metric for Routing in Low-Power and Lossy Networks
Auteurs : Patrick Olivier Kamgueu [France] ; Emmanuel Nataf [France] ; Thomas Djotio Ndié [Cameroun]Source :
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Abstract
Minimizing the energy consumption and hence ex-tends the network lifetime is a key requirement when designing anefficient sensor network protocol. QoS-aware routing in WirelessSensor Network (WSN), aims to take into account other networksperformance aspects as minimizing end-to-end delay (as well asjitter), reducing packet loss rate while minimizing the energyconsumption of the network during data transmission. Theseobjectives are sometimes conflicting, and therefore tradeoffs mustbe made between energy conservation and QoS considerations.The general problem can be reformulated as a Multi-ConstrainedOptimal Path problem (MCOP), and is known as NP-complete.The latter raises a real challenge, as sensor nodes are verylimited in resources capabilities, we propose to use fuzzy inferencemechanism to seek a good tradeoff between all given metricsand constraints. This paper discusses the implementation ofcombining several routing metric, using fuzzy logic to design aRPL objective function, the routing standard for the Internet ofThings. The proposal is integrated on Contiki operating systemand his deployment were performed on a real world indoor WSN.Obtained results show improvements compared to the commonimplementation of the RPL protocol, and demonstrate relevanceof our contribution.
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QoS-aware routing in WirelessSensor Network (WSN), aims to take into account other networksperformance aspects as minimizing end-to-end delay (as well asjitter), reducing packet loss rate while minimizing the energyconsumption of the network during data transmission. Theseobjectives are sometimes conflicting, and therefore tradeoffs mustbe made between energy conservation and QoS considerations.The general problem can be reformulated as a Multi-ConstrainedOptimal Path problem (MCOP), and is known as NP-complete.The latter raises a real challenge, as sensor nodes are verylimited in resources capabilities, we propose to use fuzzy inferencemechanism to seek a good tradeoff between all given metricsand constraints. This paper discusses the implementation ofcombining several routing metric, using fuzzy logic to design aRPL objective function, the routing standard for the Internet ofThings. The proposal is integrated on Contiki operating systemand his deployment were performed on a real world indoor WSN.Obtained results show improvements compared to the commonimplementation of the RPL protocol, and demonstrate relevanceof our contribution.</div></front></TEI><affiliations><list><country><li>Cameroun</li><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Kamgueu, Patrick Olivier" sort="Kamgueu, Patrick Olivier" uniqKey="Kamgueu P" first="Patrick Olivier" last="Kamgueu">Patrick Olivier Kamgueu</name></region><name sortKey="Nataf, Emmanuel" sort="Nataf, Emmanuel" uniqKey="Nataf E" first="Emmanuel" last="Nataf">Emmanuel Nataf</name></country><country name="Cameroun"><noRegion><name sortKey="Djotio Ndie, Thomas" sort="Djotio Ndie, Thomas" uniqKey="Djotio Ndie T" first="Thomas" last="Djotio Ndié">Thomas Djotio Ndié</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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