Optimized energy-efficient iterative distributed localization for wireless sensor networks

Mansoor Ul-haque; Farrukhaslam Khan; Mohsin Iftikhar

doi:10.1109/SMC.2013.243

Optimized energy-efficient iterative distributed localization for wireless sensor networks

Mansoor Ul-haque, Farrukhaslam Khan, Mohsin Iftikhar

Research output: Book chapter/Published conference paper › Conference paper › peer-review

7 Citations (Scopus)

5 Downloads (Pure)

Abstract

Location information of sensor nodes deployed in the mission field plays an important role on the performance of Wireless Sensor Networks (WSNs). It is highly desirable to develop localization systems by keeping in mind WSN constraints and its location estimation capability. Optimization algorithms have proven to be good candidates for quality of position estimation. Flip ambiguity is one of the major challenges in such techniques. In this paper two types of constraints are proposed to overcome this problem. Particle Swarm Optimization (PSO) in conjunction with the proposed constraints is used iteratively in distributed manners to localize blind nodes in the WSN. Simulation results show that the proposed technique overcomes the problem of flip ambiguity and is resource efficient as well. The proposed technique mitigates 95 percent (worst-case) to 100 percent (best-case) flips and saves 80 percent (worst-case) to 87 percent (best-case) energy as compared to the previous technique available in the literature.

Original language	English
Title of host publication	Proceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1407-1412
Number of pages	6
DOIs	https://doi.org/10.1109/SMC.2013.243
Publication status	Published - 2013
Event	2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) - Midland Hotel, Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013 https://ieeexplore.ieee.org/xpl/conhome/6689802/proceeding

Conference

Conference	2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013)
Abbreviated title	Cyber Systems Enabling Knowledge Integration: The Smart Response to Emerging Societal Challenges
Country/Territory	United Kingdom
City	Manchester
Period	13/10/13 → 16/10/13
Other	SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6689802/proceeding

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10.1109/SMC.2013.243

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@inproceedings{6810f89963a64a1e97393fc91136da0a,

title = "Optimized energy-efficient iterative distributed localization for wireless sensor networks",

abstract = "Location information of sensor nodes deployed in the mission field plays an important role on the performance of Wireless Sensor Networks (WSNs). It is highly desirable to develop localization systems by keeping in mind WSN constraints and its location estimation capability. Optimization algorithms have proven to be good candidates for quality of position estimation. Flip ambiguity is one of the major challenges in such techniques. In this paper two types of constraints are proposed to overcome this problem. Particle Swarm Optimization (PSO) in conjunction with the proposed constraints is used iteratively in distributed manners to localize blind nodes in the WSN. Simulation results show that the proposed technique overcomes the problem of flip ambiguity and is resource efficient as well. The proposed technique mitigates 95 percent (worst-case) to 100 percent (best-case) flips and saves 80 percent (worst-case) to 87 percent (best-case) energy as compared to the previous technique available in the literature.",

keywords = "Cybernetics, Distributed localization, Energy efficiency, Energy efficient, Energy-efficient localization, Engineering main heading: Sensor nodes, Flip ambiguity, Iterative methods, Localization system, Location estimation, Location information, Optimization algorithms, Particle swarm optimization, Particle swarm optimization (PSO), Wireless sensor network (WSNs)Engineering controlled terms: Algorithms, Wireless sensor networkIndexed keywords, Wireless sensor networksEngineering main heading: Sensor nodes",

author = "Mansoor Ul-haque and Farrukhaslam Khan and Mohsin Iftikhar",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = 2013. Event dates (773o) = 13-10-2013-16-10-2013; Parent title (773t) = IEEE International Conference on Systems, Man, and Cybernetics.; 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013), Cyber Systems Enabling Knowledge Integration: The Smart Response to Emerging Societal Challenges ; Conference date: 13-10-2013 Through 16-10-2013",

year = "2013",

doi = "10.1109/SMC.2013.243",

language = "English",

pages = "1407--1412",

booktitle = "Proceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/6689802/proceeding",

}

Ul-haque, M, Khan, F & Iftikhar, M 2013, Optimized energy-efficient iterative distributed localization for wireless sensor networks. in Proceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013. IEEE, Institute of Electrical and Electronics Engineers, pp. 1407-1412, 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013), Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.243

Optimized energy-efficient iterative distributed localization for wireless sensor networks. / Ul-haque, Mansoor; Khan, Farrukhaslam; Iftikhar, Mohsin.
Proceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013. IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 1407-1412.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Optimized energy-efficient iterative distributed localization for wireless sensor networks

AU - Ul-haque, Mansoor

AU - Khan, Farrukhaslam

AU - Iftikhar, Mohsin

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = 2013. Event dates (773o) = 13-10-2013-16-10-2013; Parent title (773t) = IEEE International Conference on Systems, Man, and Cybernetics.

PY - 2013

Y1 - 2013

N2 - Location information of sensor nodes deployed in the mission field plays an important role on the performance of Wireless Sensor Networks (WSNs). It is highly desirable to develop localization systems by keeping in mind WSN constraints and its location estimation capability. Optimization algorithms have proven to be good candidates for quality of position estimation. Flip ambiguity is one of the major challenges in such techniques. In this paper two types of constraints are proposed to overcome this problem. Particle Swarm Optimization (PSO) in conjunction with the proposed constraints is used iteratively in distributed manners to localize blind nodes in the WSN. Simulation results show that the proposed technique overcomes the problem of flip ambiguity and is resource efficient as well. The proposed technique mitigates 95 percent (worst-case) to 100 percent (best-case) flips and saves 80 percent (worst-case) to 87 percent (best-case) energy as compared to the previous technique available in the literature.

AB - Location information of sensor nodes deployed in the mission field plays an important role on the performance of Wireless Sensor Networks (WSNs). It is highly desirable to develop localization systems by keeping in mind WSN constraints and its location estimation capability. Optimization algorithms have proven to be good candidates for quality of position estimation. Flip ambiguity is one of the major challenges in such techniques. In this paper two types of constraints are proposed to overcome this problem. Particle Swarm Optimization (PSO) in conjunction with the proposed constraints is used iteratively in distributed manners to localize blind nodes in the WSN. Simulation results show that the proposed technique overcomes the problem of flip ambiguity and is resource efficient as well. The proposed technique mitigates 95 percent (worst-case) to 100 percent (best-case) flips and saves 80 percent (worst-case) to 87 percent (best-case) energy as compared to the previous technique available in the literature.

KW - Cybernetics

KW - Distributed localization

KW - Energy efficiency

KW - Energy efficient

KW - Energy-efficient localization

KW - Engineering main heading: Sensor nodes

KW - Flip ambiguity

KW - Iterative methods

KW - Localization system

KW - Location estimation

KW - Location information

KW - Optimization algorithms

KW - Particle swarm optimization

KW - Particle swarm optimization (PSO)

KW - Wireless sensor network (WSNs)Engineering controlled terms: Algorithms

KW - Wireless sensor networkIndexed keywords

KW - Wireless sensor networksEngineering main heading: Sensor nodes

U2 - 10.1109/SMC.2013.243

DO - 10.1109/SMC.2013.243

M3 - Conference paper

SP - 1407

EP - 1412

BT - Proceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013)

Y2 - 13 October 2013 through 16 October 2013

ER -

Optimized energy-efficient iterative distributed localization for wireless sensor networks

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