OPERA: Optimal Routing Metric for Cognitive Radio Ad Hoc Networks
Identifieur interne : 000907 ( Main/Exploration ); précédent : 000906; suivant : 000908OPERA: Optimal Routing Metric for Cognitive Radio Ad Hoc Networks
Auteurs : Marcello Caleffi [États-Unis, Italie] ; Ian F. Akyildiz [États-Unis] ; Luigi Paura [Italie]Source :
- IEEE transactions on wireless communications [ 1536-1276 ] ; 2012.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Télécommunication sans fil, Simulation.
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Abstract
Two main issues affect the existing routing metrics for cognitive radio ad hoc networks: i) they are often based on heuristics, and thus they have not been proved to be optimal; ii) they do not account for the route diversity effects, and thus they are not able to measure the actual cost of a route. In this paper, an optimal routing metric for cognitive radio ad hoc networks, referred to as OPERA, is proposed. OPERA is designed to achieve two features: i) Optimality: OPERA is optimal when combined with both Dijkstra and Bellman-Ford based routing protocols; ii) Accuracy: OPERA exploits the route diversity provided by the intermediate nodes to measure the actual end-to-end delay, by taking explicitly into account the unique characteristics of cognitive radio networks. A closed-form expression of the proposed routing metric is analytically derived for both static and mobile networks, and its optimality is proved rigorously. Performance evaluation is conducted through simulations, and the results reveal the benefits of adopting the proposed routing metric for cognitive radio ad hoc networks.
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Akyildiz</name><affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology</s1><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Atlanta</settlement><region type="state">Géorgie (États-Unis)</region></placeName><orgName type="university">Georgia Institute of Technology</orgName></affiliation></author><author><name sortKey="Paura, Luigi" sort="Paura, Luigi" uniqKey="Paura L" first="Luigi" last="Paura">Luigi Paura</name><affiliation wicri:level="1"><inist:fA14 i1="04"><s1>Department of Biomedical, Electronics and Telecommunications Engineering, University of Naples Federico II</s1><s3>ITA</s3><sZ>3 aut.</sZ></inist:fA14><country>Italie</country><wicri:noRegion>Department of Biomedical, Electronics and Telecommunications Engineering, University of Naples Federico II</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">IEEE transactions on wireless communications</title><title level="j" type="abbreviated">IEEE trans. wirel. commun. </title><idno type="ISSN">1536-1276</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">IEEE transactions on wireless communications</title><title level="j" type="abbreviated">IEEE trans. wirel. commun. </title><idno type="ISSN">1536-1276</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accuracy</term><term>Ad hoc network</term><term>Delay time</term><term>Heuristic method</term><term>Metric</term><term>Mobile radiocommunication</term><term>Performance evaluation</term><term>Routing</term><term>Routing protocols</term><term>Simulation</term><term>Software radio</term><term>Transmission protocol</term><term>Wireless telecommunication</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Routage</term><term>Métrique</term><term>Radio logicielle</term><term>Radiocommunication service mobile</term><term>Réseau ad hoc</term><term>Télécommunication sans fil</term><term>Méthode heuristique</term><term>Protocole routage</term><term>Précision</term><term>Temps retard</term><term>Evaluation performance</term><term>Simulation</term><term>Protocole transmission</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Télécommunication sans fil</term><term>Simulation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Two main issues affect the existing routing metrics for cognitive radio ad hoc networks: i) they are often based on heuristics, and thus they have not been proved to be optimal; ii) they do not account for the route diversity effects, and thus they are not able to measure the actual cost of a route. In this paper, an optimal routing metric for cognitive radio ad hoc networks, referred to as OPERA, is proposed. OPERA is designed to achieve two features: i) Optimality: OPERA is optimal when combined with both Dijkstra and Bellman-Ford based routing protocols; ii) Accuracy: OPERA exploits the route diversity provided by the intermediate nodes to measure the actual end-to-end delay, by taking explicitly into account the unique characteristics of cognitive radio networks. A closed-form expression of the proposed routing metric is analytically derived for both static and mobile networks, and its optimality is proved rigorously. 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