Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory

A game theoretic method was proposed to adaptively maintain the energy efficiency in distributed wireless sensor networks. Based on a widely used transmission paradigm, the utility function was formulated under a proposed noncooperative framework and then the existence of Nash Equilibrium (NE) has b...

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Main Authors: Juan Luo, Chen Pan, Renfa Li, Fei Ge
Format: Article
Language:English
Published: Wiley 2012-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/398460
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author Juan Luo
Chen Pan
Renfa Li
Fei Ge
author_facet Juan Luo
Chen Pan
Renfa Li
Fei Ge
author_sort Juan Luo
collection DOAJ
description A game theoretic method was proposed to adaptively maintain the energy efficiency in distributed wireless sensor networks. Based on a widely used transmission paradigm, the utility function was formulated under a proposed noncooperative framework and then the existence of Nash Equilibrium (NE) has been proved to guarantee system stability. To pursuit NE, an NPC algorithm was proposed to regulate heterogeneous nodes with various communication demands given the definition of urgency level. Results from both simulation and real testbed presented the robustness and rapid convergence of NPC algorithm. Furthermore, the network performance can remain in a promising state while the energy consumption is greatly decreased.
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issn 1550-1477
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publisher Wiley
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series International Journal of Distributed Sensor Networks
spelling doaj-art-bb2392b523fd49c0b5dd50dbcee4ded32025-08-20T02:19:21ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-12-01810.1155/2012/398460Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game TheoryJuan Luo0Chen Pan1Renfa Li2Fei Ge3 School of Information Science and Engineering, Hunan University, Changsha 410082, China School of Information Science and Engineering, Hunan University, Changsha 410082, China School of Information Science and Engineering, Hunan University, Changsha 410082, China Central China Normal University, Wuhan 430079, ChinaA game theoretic method was proposed to adaptively maintain the energy efficiency in distributed wireless sensor networks. Based on a widely used transmission paradigm, the utility function was formulated under a proposed noncooperative framework and then the existence of Nash Equilibrium (NE) has been proved to guarantee system stability. To pursuit NE, an NPC algorithm was proposed to regulate heterogeneous nodes with various communication demands given the definition of urgency level. Results from both simulation and real testbed presented the robustness and rapid convergence of NPC algorithm. Furthermore, the network performance can remain in a promising state while the energy consumption is greatly decreased.https://doi.org/10.1155/2012/398460
spellingShingle Juan Luo
Chen Pan
Renfa Li
Fei Ge
Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
International Journal of Distributed Sensor Networks
title Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
title_full Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
title_fullStr Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
title_full_unstemmed Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
title_short Power Control in Distributed Wireless Sensor Networks Based on Noncooperative Game Theory
title_sort power control in distributed wireless sensor networks based on noncooperative game theory
url https://doi.org/10.1155/2012/398460
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AT chenpan powercontrolindistributedwirelesssensornetworksbasedonnoncooperativegametheory
AT renfali powercontrolindistributedwirelesssensornetworksbasedonnoncooperativegametheory
AT feige powercontrolindistributedwirelesssensornetworksbasedonnoncooperativegametheory