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Journal ArticleDOI

Study of range free centroid based localization algorithm and its improvement using particle swarm optimization for wireless sensor networks under log normal shadowing

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TLDR
The basic range free centroid based localization algorithm is studied under log normal shadowing and evaluated in terms of localization error, and the basic CLA is improved by using the particle swarm optimization (PSO) under the same environment.
Abstract
Localization deals with the determination of coordinates of unknown nodes for proper routing of data in wireless sensor networks. The centroid based localization algorithm (CLA) has been explored to a great extent till date. Its basic and improved form suffers from large localization error. In the present work the basic range free centroid based localization algorithm is studied under log normal shadowing and evaluated in terms of localization error. Further the basic CLA is improved by using the particle swarm optimization (PSO) under the same environment. The localization error for basic and PSO based CLA is calculated by varying the anchor ratio, communication range, number of unknown nodes, and network area. In every condition the PSO based CLA performs well over basic CLA in terms of reduction in localization error. The localization error in the proposed work is smallest as compared to other known centroid based localization algorithms.

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Citations
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Journal ArticleDOI

DV-Hop-based range-free localization algorithm for wireless sensor network using runner-root optimization

TL;DR: Simulation results confirm that the proposed improved DV-Hop localization using runner-root algorithm minimizes the localization error, localization error variance and computational time in comparison with existing localization techniques.
Journal ArticleDOI

DV-Hop localization methods for displaced sensor nodes in wireless sensor network using PSO

TL;DR: A new framework of localization for displaced sensor nodes is proposed using DV-Hop localization methods using particle swarm optimization (PSO) and radio irregularity model is considered to show the applicability of proposed algorithm in anisotropic network.
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IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain

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DV-Hop based localization methods for additionally deployed nodes in wireless sensor network using genetic algorithm

TL;DR: A new framework to localize newly deployed nodes in a pre-localized network using GA DV-Hop algorithm is proposed and it has been observed that proposed methods requires less time for localization as compared to traditional methods.
Journal ArticleDOI

Range Free Localization for Three Dimensional Wireless Sensor Networks Using Multi Objective Particle Swarm Optimization

TL;DR: In this paper, a multi-objective particle swarm optimization based DV-Hop localization is proposed in 3D wireless sensor networks, which has been evaluated on the basis of computation time, average localization error and localization error variance.
References
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TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
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GPS-less low-cost outdoor localization for very small devices

TL;DR: This work reviews localization techniques and evaluates the effectiveness of a very simple connectivity metric method for localization in outdoor environments that makes use of the inherent RF communications capabilities of these devices.
Journal ArticleDOI

Biomimicry of bacterial foraging for distributed optimization and control

TL;DR: A computer program that emulates the distributed optimization process represented by the activity of social bacterial foraging is presented and applied to a simple multiple-extremum function minimization problem and briefly discusses its relationship to some existing optimization algorithms.
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