research-article

A game theory distributed approach for energy optimization in WSNs

Authors:

Andrea Abrardo,

Lapo Balucanti,

Alessandro MecocciAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 9, Issue 4

Article No.: 44, Pages 1 - 22

https://doi.org/10.1145/2489253.2489261

Published: 23 July 2013 Publication History

Abstract

One of the major sources of energy waste in wireless sensor networks (WSNs) is idle listening, that is, the cost of actively listening for potential packets. This article focuses on reducing idle-listening time via a dynamic duty-cycling technique which aims at optimizing the sleep interval between consecutive wake-ups. We considered a receiver-initiated MAC method for WSNs in which the sender waits for a beacon signal from the receiver before starting to transmit. Since each sender receives beacon signals from several nodes, the data are routed on multiple paths in a data collection network. In this context, we propose an optimization framework for minimizing the energy waste of the most power-hungry node of the network. To this aim, we first derive an analytic model that predicts nodes' energy consumption. Then, we use the model to derive a distributed optimization technique. Simulation results via NS-2 simulator are included to illustrate the accuracy of the model, and numerical results assess the validity of the proposed scheme.

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Yu YHsu SChen AChen YTang B(2023)Truthful and Optimal Data Preservation in Base Station-less Sensor Networks: An Integrated Game Theory and Network Flow ApproachACM Transactions on Sensor Networks10.1145/360626320:1(1-40)Online publication date: 27-Jun-2023
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Index Terms

A game theory distributed approach for energy optimization in WSNs
1. Networks
  1. Network protocols

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 9, Issue 4

July 2013

523 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/2489253

Issue’s Table of Contents

Copyright © 2013 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 23 July 2013

Accepted: 01 August 2012

Revised: 01 April 2012

Received: 01 September 2011

Published in TOSN Volume 9, Issue 4

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Cited By

Yu YHsu SChen AChen YTang B(2023)Truthful and Optimal Data Preservation in Base Station-less Sensor Networks: An Integrated Game Theory and Network Flow ApproachACM Transactions on Sensor Networks10.1145/360626320:1(1-40)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3606263
Chen ZWang JXu BXiao LLong J(2023)A Density Routing Algorithm in Wireless Sensor Networks for Dangerous Chemicals Monitoring2023 12th International Conference of Information and Communication Technology (ICTech)10.1109/ICTech58362.2023.00105(537-544)Online publication date: Apr-2023
https://doi.org/10.1109/ICTech58362.2023.00105
Khan TSingh K(2023)RTM: Realistic Weight-Based Reliable Trust Model for Large Scale WSNsWireless Personal Communications: An International Journal10.1007/s11277-022-10165-7129:2(953-991)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1007/s11277-022-10165-7
Sadeq AHassan RSallehudin HAman AIbrahim A(2022)Conceptual Framework for Future WSN-MAC Protocol to Achieve Energy Consumption EnhancementSensors10.3390/s2206212922:6(2129)Online publication date: 9-Mar-2022
https://doi.org/10.3390/s22062129
Abrardo APozzebon A(2019)A Multi-Hop LoRa Linear Sensor Network for the Monitoring of Underground Environments: The Case of the Medieval Aqueducts in Siena, ItalySensors10.3390/s1902040219:2(402)Online publication date: 19-Jan-2019
https://doi.org/10.3390/s19020402
Meena USharma A(2018)Secure Key Agreement with Rekeying Using FLSO Routing Protocol in Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-018-5755-9101:2(1177-1199)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s11277-018-5755-9
Abrardo AMartal MFerrari G(2017)Information fusion for efficient target detection in large-scale surveillance Wireless Sensor NetworksInformation Fusion10.1016/j.inffus.2017.02.00238:C(55-64)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.inffus.2017.02.002
Doudou MBarcelo-Ordinas JDjenouri DGarcia-Vidal JBouabdallah ABadache N(2016)Game Theory Framework for MAC Parameter Optimization in Energy-Delay Constrained Sensor NetworksACM Transactions on Sensor Networks10.1145/288361512:2(1-35)Online publication date: 3-May-2016
https://dl.acm.org/doi/10.1145/2883615
Hu JQian QFang AWu SXie Y(2016)Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-016-3316-789:4(1295-1313)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1007/s11277-016-3316-7
Naveen KKumar A(2015)Relay Selection with Channel Probing in Sleep-Wake Cycling Wireless Sensor NetworksACM Transactions on Sensor Networks10.1145/275728011:3(1-38)Online publication date: 28-May-2015
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