A constraint programming approach to the additional relay placement problem in wireless sensor networks

A Wireless Sensor Network (WSN) is composed of many sensor nodes which transmit their data wirelessly over a multi-hop network to data sinks. Since WSNs are subject to node failures, the network topology should be robust, so that when a failure does occur, data delivery can continue from all survivi...

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Veröffentlicht in:Constraints : an international journal Jg. 20; H. 4; S. 433 - 451
Hauptverfasser: Quesada, Luis, Sitanayah, Lanny, Brown, Kenneth N., O’Sullivan, Barry, Sreenan, Cormac J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.10.2015
Schlagworte:
Artificial Intelligence
Computer Science
Operations Research/Decision Theory
Optimization
Node disjoint paths
Wireless sensor networks
Constraint optimisation problem
Network deployment planning
Relay placement
ISSN:1383-7133, 1572-9354
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Zusammenfassung:A Wireless Sensor Network (WSN) is composed of many sensor nodes which transmit their data wirelessly over a multi-hop network to data sinks. Since WSNs are subject to node failures, the network topology should be robust, so that when a failure does occur, data delivery can continue from all surviving nodes. A WSN is k -robust if an alternate length-constrained route to a sink is available for each surviving node after the failure of up to k -1 nodes. A WSN is strongly k -robust if there are k disjoint length-constrained routes to a sink for each node. Determining whether a network is k -robust is polynomial. However, determining whether a network is strongly k -robust is an NP-complete problem. We develop a Constraint Programming (CP) approach for deciding strongly k-robustness that outperforms a Mixed-Integer Programming (MIP) model on larger problems. A network can be made (strongly) robust by deploying extra relay nodes. We extend our CP approach to an optimisation approach by using QuickXplain to search for a minimal set of relays, and compare it to a state-of-the-art local search approach.
ISSN:1383-7133
1572-9354
DOI:10.1007/s10601-015-9188-8