Node-Level Error Control Strategies for Prolonging the Lifetime of Wireless Sensor Networks

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dc.contributor.author Yıldız, Hüseyin Uğur
dc.contributor.author Tekin, Nazlı
dc.contributor.author Güngör, Vehbi Çağrı
dc.date.accessioned 2021-08-14T14:42:39Z
dc.date.available 2021-08-14T14:42:39Z
dc.date.issued 2021-07-01
dc.identifier.issn 1530-437X
dc.identifier.uri https://doi.org/10.1109/JSEN.2021.3073889
dc.identifier.uri http://hdl.handle.net/20.500.12485/780
dc.description.abstract In Wireless Sensor Networks (WSNs), energy-efficiency and reliability are two critical requirements for attaining a long-term stable communication performance. Using error control (EC) methods is a promising technique to improve the reliability of WSNs. EC methods are typically utilized at the network-level, where all sensor nodes use the same EC method. However, improper selection of EC methods on some nodes in the network-level strategy can reduce the energy-efficiency, thus the lifetime of WSNs. In this study, a node-level EC strategy is proposed via mixed-integer programming (MIP) formulations. The MIP model determines the optimum EC method (i.e., automatic repeat request (ARQ), forward error correction (FEC), or hybrid ARQ (HARQ)) for each sensor node to maximize the network lifetime while guaranteeing a pre-determined reliability requirement. Five meta-heuristic approaches are developed to overcome the computational complexity of the MIP model. The performances of the MIP model and meta-heuristic approaches are evaluated for a wide range of parameters such as the number of nodes, network area, packet size, minimum desired reliability criterion, transmission power, and data rate. The results show that the node-level EC strategy provides at least 4.4% prolonged lifetimes and 4.0% better energy-efficiency than the network-level EC strategies. Furthermore, one of the developed meta-heuristic approaches (i.e., extended golden section search) provides lifetimes within a 3.9% neighborhood of the optimal solutions, reducing the solution time of the MIP model by 89.6%. en_US
dc.language.iso en en_US
dc.subject Wireless sensor networks en_US
dc.subject Forward error correction en_US
dc.subject Sensors en_US
dc.subject Programming en_US
dc.subject Automatic repeat request en_US
dc.subject Optimization en_US
dc.subject Genetic algorithms en_US
dc.subject Network lifetime en_US
dc.subject Error control en_US
dc.subject Mixed-integer programming en_US
dc.subject Meta-heuristics en_US
dc.subject Wireless sensor networks en_US
dc.title Node-Level Error Control Strategies for Prolonging the Lifetime of Wireless Sensor Networks en_US
dc.type Article en_US
dc.relation.journal IEEE SENSORS JOURNAL en_US
dc.identifier.issue 13 en_US
dc.identifier.startpage 15386 en_US
dc.identifier.endpage 15397 en_US
dc.identifier.volume 21 en_US

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