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Proceedings ArticleDOI

Researching on Optimal Distribution of Mobile Nodes in Wireless Sensor Networks being Deployed Randomly

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TLDR
It is suggested by the simulated experiment results that the method proposed to optimize the mobile nodes in this paper can improve the QoS in sensing coverage.
Abstract
To improve the quality of service (QoS) in sensing coverage, wireless sensor networks (WSN) composed of immobile nodes and mobile nodes should optimize the distribution of mobile nodes after their random deployment. According to the pre-research work we know that the node density is closely relevant to QoS in sensing coverage when the nodes are randomly deployed in the target region. In this paper the target region is divided into different parts being not overlapped with the others, a modified particle swarm optimization (PSO) is proposed to optimize the node density of different parts according to the expectation of QoS in the parts and the virtual force between the nodes is proposed to adjust the position of mobile nodes. It is suggested by the simulated experiment results that the method proposed to optimize the mobile nodes in this paper can improve the QoS in sensing coverage.

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Citations
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Journal ArticleDOI

Delaunay triangulation as a new coverage measurement method in wireless sensor network.

TL;DR: This paper proposes a new coverage measurement method using Delaunay Triangulation (DT), which can provide the value for all coverage measurement tools and categorizes sensors as ‘fat’, ‘healthy’ or ‘thin’ to show the dense, optimal and scattered areas.
Journal ArticleDOI

Local coverage measurement algorithm in GPS-free wireless sensor networks

TL;DR: A local position estimation algorithm (LPEA) using triangulation rules, which contains estimation and estimation correction procedures, and indicated that the algorithm is significantly accurate in terms of the local coverage measurement and accelerates the operation in coverage measurement algorithms in wireless sensor networks.
Book ChapterDOI

PSO based wireless sensor networks coverage optimization on DEMs

TL;DR: Simulation experiments show that the algorithm can effectively improve WSNs coverage on DEMs and an improved algorithm based on Dissipative Particle Swarm Optimization (DPSO) is proposed.

Design and performance analysis of genetic algorithms for topology control problems

TL;DR: This dissertation presents a bio-inspired decentralized topology control mechanism, called force-based genetic algorithm (FGA), where a genetic algorithm is run by each autonomous mobile node to achieve a uniform spread of mobile nodes and to provide a fully connected network over an unknown area.
Book ChapterDOI

A Novel Fuzzy Sensing Model for Sensor Nodes in Wireless Sensor Network

TL;DR: A fuzzy based model and inference system to best way represent the sensing behavior of sensor nodes and a measure that can be used to check or compare the WSN system performance are proposed.
References
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Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book ChapterDOI

Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem

TL;DR: This paper presents a potential-field-based approach to deployment of a mobile sensor network, where the fields are constructed such that each node is repelled by both obstacles and by other nodes, thereby forcing the network to spread itself throughout the environment.
Proceedings ArticleDOI

A study of the coverage of large-scale sensor networks

TL;DR: It is found that the coverage of a sensor network exhibits different behaviors for different network configuration and parameters, and the implications to network planning and protocol performance of sensor networks are discussed.
Journal Article

Intelligent Fluid Infrastructure for Embedded Networking

TL;DR: In this paper, the authors exploit mobility to develop a fluid infrastructure: mobile components are deliberately built into the system infrastructure for enabling specific functionality that is very hard to achieve using other methods.
Proceedings ArticleDOI

Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna

TL;DR: The foundations and performance of the two algorithms when applied to the design of a profiled corrugated horn antenna are investigated and the possibility of hybridizing the twogorithms is investigated.
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