2014
DOI: 10.12785/amis/080217
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Sensor Node Deployment in Wireless Sensor Networks based on Ionic Bond-Directed Particle Swarm Optimization

Abstract: Sensor node deployment is one of the critical topics addressed in wireless sensor networks (WSNs) research, which determines coverage efficiency of WSNs. This paper proposes a self-organizing algorithm for enhancing the coverage for WSNs, which is so-called Ionic bond-directed particle swarm optimization (IBPSO). The proposed algorithm combines the ionic bond method with particle swarm optimization (PSO), where ionic bond method uses a judicious ionic bond between two sensor nodes to determine which node needs… Show more

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Cited by 7 publications
(5 citation statements)
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“…In recent years, heuristic algorithms have been used to perform sensor deployment. The PSO algorithm [19], [20] is one of the most popular algorithms and is frequently utilized to solve the sensor deployment problem of WSNs [21]- [24]. A parallel PSO (PPSO) was proposed in [25], which divided the ROI and the SNs into several parts.…”
Section: A Related Workmentioning
confidence: 99%
“…In recent years, heuristic algorithms have been used to perform sensor deployment. The PSO algorithm [19], [20] is one of the most popular algorithms and is frequently utilized to solve the sensor deployment problem of WSNs [21]- [24]. A parallel PSO (PPSO) was proposed in [25], which divided the ROI and the SNs into several parts.…”
Section: A Related Workmentioning
confidence: 99%
“…Aiming at the foregoing defects of the triangle Steiner tree algorithm, this thesis will improve it in three aspects: (1) improving the algorithm to reduce its running time; (2) proposing recovery algorithm to make overall computational results of the algorithm approach practical environment to a larger extent and (3) improving the algorithm to make it have good results when communication radius of sensor nodes increases.…”
Section: Application and Limitation Of The Triangle Steiner Tree Algorithmmentioning
confidence: 99%
“…Network connectivity is a factor that should be considered first in node deployment [2]. A typical solution to the problem is minimum spanning tree (MST).…”
Section: Introductionmentioning
confidence: 99%
“…A variety of self-healing mechanisms have been used to synthesize self-healing sensors, such as covalent bonds (borate bonds, [21][22][23] Schiff base bonds, 24 etc.) and non-covalent bond interactions (ionic bonds, 25,26 hydrogen bonds 27,28 and host-guest interaction 29,30 etc.). Among them, covalent bonds are widely preferred due to the superiority of the mechanical properties of the prepared materials over those of non-covalent bonds.…”
Section: Introductionmentioning
confidence: 99%