A tuned fuzzy logic relocation model in WSNs using particle swarm optimization

Ali Rafiei, Yashar Maali, Mehran Abolhasan, Daniel Franklin, Farzad Safaei, Stephen Smith

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

In harsh and hostile environments, swift relocation of currently deployed nodes in the absence of centralized paradigm is a challenging issue in WSNs. Reducing the burden of centralized relocation paradigms by the distributed movement models comes at the price of unpleasant oscillations and excessive movements due to nodes' local and limited interactions. If the nodes' careless movements in the distributed relocation models are not properly addressed, their power will be exhausted. Therefore, in order to exert proper amount of virtual radial/angular push/pull forces among the nodes, a fuzzy logic relocation model is proposed and by considering linear combination of the presented performance metric(s)(i.e. coverage, uniformity, and average movement), its parameters are locally and globally tuned by particle swarm optimization(PSO). In order to tune fuzzy parameters locally and globally, PSO benefits respectively from nodes' neighbours within different ranges and all the given deployed area. Performance of locally and globally tuned fuzzy relocation models is compared with one another in addition to the distributed self-spreading algorithm (DSSA). It is shown that by applying PSO to the linear combinations of desired metric(s) to obtain tuned fuzzy parameters, the relocation model outperforms and/or is comparable to DSSA in one or more performance metric(s).

LanguageEnglish
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Print)9781467361873, 9781467361866
DOIs
Publication statusPublished - 6 Jan 2013
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: 2 Sep 20135 Sep 2013

Other

Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
CountryUnited States
CityLas Vegas, NV
Period2/09/135/09/13

Fingerprint

Relocation
Particle swarm optimization (PSO)
Fuzzy Logic
Fuzzy logic
Particle Swarm Optimization
Vertex of a graph
Fuzzy Parameters
Performance Metrics
Linear Combination
Paradigm
Model
Fuzzy Model
Uniformity
Coverage
Oscillation
Metric
Movement
Interaction
Range of data

Cite this

Rafiei, A., Maali, Y., Abolhasan, M., Franklin, D., Safaei, F., & Smith, S. (2013). A tuned fuzzy logic relocation model in WSNs using particle swarm optimization. In 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 (pp. 1-5). [6692070] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VTCFall.2013.6692070
Rafiei, Ali ; Maali, Yashar ; Abolhasan, Mehran ; Franklin, Daniel ; Safaei, Farzad ; Smith, Stephen. / A tuned fuzzy logic relocation model in WSNs using particle swarm optimization. 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. pp. 1-5
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Rafiei, A, Maali, Y, Abolhasan, M, Franklin, D, Safaei, F & Smith, S 2013, A tuned fuzzy logic relocation model in WSNs using particle swarm optimization. in 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013., 6692070, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-5, 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013, Las Vegas, NV, United States, 2/09/13. https://doi.org/10.1109/VTCFall.2013.6692070

A tuned fuzzy logic relocation model in WSNs using particle swarm optimization. / Rafiei, Ali; Maali, Yashar; Abolhasan, Mehran; Franklin, Daniel; Safaei, Farzad; Smith, Stephen.

2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 1-5 6692070.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

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Rafiei A, Maali Y, Abolhasan M, Franklin D, Safaei F, Smith S. A tuned fuzzy logic relocation model in WSNs using particle swarm optimization. In 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 1-5. 6692070 https://doi.org/10.1109/VTCFall.2013.6692070