research-article

Decomposition algorithms for maximizing the lifetime of wireless sensor networks with mobile sinks

Authors:

Behnam Behdani,

Young Sang Yun,

Ye XiaAuthors Info & Claims

Computers and Operations Research, Volume 39, Issue 5

Pages 1054 - 1061

https://doi.org/10.1016/j.cor.2011.06.013

Published: 01 May 2012 Publication History

Abstract

We address the problem of maximizing the lifetime of a wireless sensor network with energy-constrained sensors and a mobile sink. The sink travels among discrete locations to gather information from all the sensors. Data can be relayed among sensors and then to the sink location, as long as the sensors and the sink are within a certain threshold distance of each other. However, sending information along a data link consumes energy at both the sender and the receiver nodes. A vital problem that arises is to prescribe sink stop durations and data flow patterns that maximally prolong the life of the network, defined as the amount of time until any node exhausts its energy. We describe linear programming and column generation approaches for this problem, and also for a version in which data can be delayed in its transmission to the sink. Our column generation approach exploits special structures of the linear programming formulations so that all subproblems are shortest path problems with non-negative costs. Computational results demonstrate the efficiency of the proposed algorithms.

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Cited By

Çorapsız M(2024)Lifetime maximization of wireless sensor networks while ensuring intruder detectionSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-09692-128:5(4197-4215)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s00500-024-09692-1
(2018)Mobile data gathering using PSO and minimum covering spanning tree clustered WSNInternational Journal of Mobile Network Design and Innovation10.5555/3272206.32722118:2(101-110)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3272206.3272211
(2018)Mobile data gathering using PSO and minimum covering spanning tree clustered WSNInternational Journal of Mobile Network Design and Innovation10.5555/3272193.32721988:2(101-110)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3272193.3272198
Show More Cited By

Decomposition algorithms for maximizing the lifetime of wireless sensor networks with mobile sinks
1. Mathematics of computing
  1. Mathematical analysis
    1. Mathematical optimization
      1. Continuous optimization
2. Networks
  1. Network types

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Published In

cover image Computers and Operations Research

Computers and Operations Research Volume 39, Issue 5

May, 2012

321 pages

ISSN:0305-0548

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 May 2012

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Cited By

Çorapsız M(2024)Lifetime maximization of wireless sensor networks while ensuring intruder detectionSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-09692-128:5(4197-4215)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s00500-024-09692-1
(2018)Mobile data gathering using PSO and minimum covering spanning tree clustered WSNInternational Journal of Mobile Network Design and Innovation10.5555/3272206.32722118:2(101-110)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3272206.3272211
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https://dl.acm.org/doi/10.5555/3272193.3272198
(2018)Mobile data gathering using PSO and minimum covering spanning tree clustered WSNInternational Journal of Mobile Network Design and Innovation10.5555/3272186.32721918:2(101-110)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3272186.3272191
Keskin MAltınel IAras NErsoy C(2016)Wireless sensor network design by lifetime maximisationInternational Journal of Sensor Networks10.1504/IJSNET.2016.07536320:3(131-146)Online publication date: 1-Mar-2016
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Yi CYang GDai HLiu LLi N(2016)Switching algorithm with prediction strategy for maximizing lifetime in wireless sensor networkInternational Journal of Distributed Sensor Networks10.1155/2015/5920932015(230-230)Online publication date: 1-Jan-2016
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Curry RSmith J(2016)A survey of optimization algorithms for wireless sensor network lifetime maximizationComputers and Industrial Engineering10.1016/j.cie.2016.08.028101:C(145-166)Online publication date: 1-Nov-2016
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Chen YWang ZRen TLv H(2015)Lifetime optimization algorithm with mobile sink nodes for wireless sensor networks based on location informationInternational Journal of Distributed Sensor Networks10.1155/2015/8576732015(16-16)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1155/2015/857673
Carrabs FCerulli RD'Ambrosio CGentili MRaiconi A(2015)Maximizing lifetime in wireless sensor networks with multiple sensor familiesComputers and Operations Research10.1016/j.cor.2015.02.01360:C(121-137)Online publication date: 1-Aug-2015
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Keskin MAltınel İAras N(2015)Combining simulated annealing with Lagrangian relaxation and weighted Dantzig-Wolfe decomposition for integrated design decisions in wireless sensor networksComputers and Operations Research10.1016/j.cor.2015.02.00159:C(132-143)Online publication date: 1-Jul-2015
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