research-article

Maximum lifetime scheduling for target coverage in wireless sensor networks

Authors:

Hoon Kim,

Youn-Hee Han,

Sung-Gi MinAuthors Info & Claims

IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

Pages 99 - 103

https://doi.org/10.1145/1815396.1815419

Published: 28 June 2010 Publication History

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Abstract

The best way to conserve energy in wireless sensor networks is to change the radio interface state to sleep mode. The sensors in sleep mode conserve energy, whereas the sensors in active mode use their energy to continue to monitor the target. How sensors are scheduled between active and sleep modes affects the lifetime of the sensor network.

Some existing scheduling schemes do not achieve maximum energy efficiency because they do not take into account both overlapping target coverage and the residual energy of sensors. It is important to reduce overlapping target coverage because it can waste sensor energy unnecessarily.

In this paper, we propose a new energy efficient algorithm that takes into account both overlapping target coverage and the residual energy of sensors. Simulation results show that this algorithm produces more number of cover sets than the existing algorithms, so that the network lifetime becomes higher.

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Cited By

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Xiong YChen GLu MWan XWu MShe J(2020)A Two-Phase Lifetime-Enhancing Method for Hybrid Energy-Harvesting Wireless Sensor NetworkIEEE Sensors Journal10.1109/JSEN.2019.294862020:4(1934-1946)Online publication date: 15-Feb-2020
https://doi.org/10.1109/JSEN.2019.2948620
Saadi NBounceur AEuler RLounis MBezoui MKerkar MPottier B(2019)Maximum Lifetime Target Coverage in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-019-06935-5Online publication date: 18-Nov-2019
https://doi.org/10.1007/s11277-019-06935-5
El-Sherif MFahmy YKamal H(2018)Lifetime maximisation of disjoint wireless sensor networks using multiobjective genetic algorithmIET Wireless Sensor Systems10.1049/iet-wss.2017.00698:5(200-207)Online publication date: 1-Oct-2018
https://doi.org/10.1049/iet-wss.2017.0069
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Index Terms

Maximum lifetime scheduling for target coverage in wireless sensor networks
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Information & Contributors

Information

Published In

IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

June 2010

1371 pages

ISBN:9781450300629

DOI:10.1145/1815396

General Chairs:
Ahmed Helmy
University of Florida
,
Peter Mueller
IBM, Switzerland
,
Program Chair:
Yan Zhang
Simula Research Laboratory and University of Oslo, Norway

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2010

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Funding Sources

National Research Foundation of Korea

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IWCMC '10

Sponsor:

IWCMC '10: 2010 International Wireless Communications and Mobile Computing Conference

June 28 - July 2, 2010

Caen, France

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Cited By

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Xiong YChen GLu MWan XWu MShe J(2020)A Two-Phase Lifetime-Enhancing Method for Hybrid Energy-Harvesting Wireless Sensor NetworkIEEE Sensors Journal10.1109/JSEN.2019.294862020:4(1934-1946)Online publication date: 15-Feb-2020
https://doi.org/10.1109/JSEN.2019.2948620
Saadi NBounceur AEuler RLounis MBezoui MKerkar MPottier B(2019)Maximum Lifetime Target Coverage in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-019-06935-5Online publication date: 18-Nov-2019
https://doi.org/10.1007/s11277-019-06935-5
El-Sherif MFahmy YKamal H(2018)Lifetime maximisation of disjoint wireless sensor networks using multiobjective genetic algorithmIET Wireless Sensor Systems10.1049/iet-wss.2017.00698:5(200-207)Online publication date: 1-Oct-2018
https://doi.org/10.1049/iet-wss.2017.0069
Pujari AMini SPadhi TSahoo PDas SKrishnaswamy DKarkar SKorman AKumar MPortmann MSastry S(2015)Polyhedral Approach for Lifetime Maximization of Target Coverage ProblemProceedings of the 16th International Conference on Distributed Computing and Networking10.1145/2684464.2684495(1-8)Online publication date: 4-Jan-2015
https://dl.acm.org/doi/10.1145/2684464.2684495
Mini SPujari A(2013)Phase Transition Analysis of Target Coverage Problem in Wireless Sensor NetworksIEEE Sensors Journal10.1109/JSEN.2013.226014213:7(2742-2749)Online publication date: Jul-2013
https://doi.org/10.1109/JSEN.2013.2260142
Thenral BSikamani K(2013)Proficient routing method that exploits the lifetime of Wireless Sensor Networks2013 International Conference on Current Trends in Engineering and Technology (ICCTET)10.1109/ICCTET.2013.6675954(231-234)Online publication date: Jul-2013
https://doi.org/10.1109/ICCTET.2013.6675954

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Lifetime Maximization Based on Coverage and Connectivity in Wireless Sensor Networks

TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks

Movement-assisted sensor redeployment scheme for network lifetime increase