Optimized energy-efficient iterative distributed localization for wireless sensor networks

Mansoor Ul-haque, Farrukhaslam Khan, Mohsin Iftikhar

Research output: Book chapter/Published conference paperConference paperpeer-review

6 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 languageEnglish
Title of host publicationProceedings: 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC 2013
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1407-1412
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) - Midland Hotel, Manchester, United Kingdom
Duration: 13 Oct 201316 Oct 2013
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=20015

Conference

Conference2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013)
Abbreviated titleCyber Systems Enabling Knowledge Integration: The Smart Response to Emerging Societal Challenges
Country/TerritoryUnited Kingdom
CityManchester
Period13/10/1316/10/13
OtherSMC 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

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