Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks—A Review

Singh, Parulpreet; Arun, Khosla; Kumar, Anil; Khosla, Mamta

doi:10.1007/978-3-662-57277-1_2

Cited by 7 publications

(3 citation statements)

References 95 publications

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“…The architecture of WSN Node localization (NL) technique can localize and trace the nodes; therefore, the observing data find more useful. The information is collected at the BS would be useless to the client without the localization data of the nodes in the target area [5]. The localization is determined as the computation of the location of unknown sensors termed as targeted node by the use of anchor nodes, which is depending upon the measurements like angle of arrival, time of arrival, maximal likelihood, triangulation, and time variance of arrival, etc.…”

Section: Figurementioning

confidence: 99%

A Modified Search and Rescue Optimization Based Node Localization Technique in WSN

Jacob¹,

Muthumayil²,

Kavitha³

et al. 2022

Computers, Materials &Amp; Continua

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Wireless sensor network (WSN) is an emerging technology which find useful in several application areas such as healthcare, environmental monitoring, border surveillance, etc. Several issues that exist in the designing of WSN are node localization, coverage, energy efficiency, security, and so on. In spite of the issues, node localization is considered an important issue, which intends to calculate the coordinate points of unknown nodes with the assistance of anchors. The efficiency of the WSN can be considerably influenced by the node localization accuracy. Therefore, this paper presents a modified search and rescue optimization based node localization technique (MSRO-NLT) for WSN. The major aim of the MSRO-NLT technique is to determine the positioning of the unknown nodes in the WSN. Since the traditional search and rescue optimization (SRO) algorithm suffers from the local optima problem with an increase in number of iterations, MSRO algorithm is developed by the incorporation of chaotic maps to improvise the diversity of the technique. The application of the concept of chaotic map to the characteristics of the traditional SRO algorithm helps to achieve better exploration ability of the MSRO algorithm. In order to validate the effective node localization performance of the MSRO-NLT algorithm, a set of simulations were performed to highlight the supremacy of the presented model. A detailed comparative results analysis showcased the betterment of the MSRO-NLT technique over the other compared methods in terms of different measures.

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Section: Figurementioning

confidence: 99%

A Modified Search and Rescue Optimization Based Node Localization Technique in WSN

Jacob¹,

Muthumayil²,

Kavitha³

et al. 2022

Computers, Materials &Amp; Continua

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“…The author in [16] presents a localization technique based on space distance interaction. It is a 3D localization algorithm in which every sensor node measures the distance by utilizing the mobile beacon.…”

Section: Range-based Localization Algorithmsmentioning

confidence: 99%

“…For high accuracy, it utilizes TOA systems. Finally, SDI is proposed for determining the 3D position of the beacon node [16].…”

Section: Range-based Localization Algorithmsmentioning

confidence: 99%

Performance Analysis of Wireless Sensor Network Localization algorithms

Kevin¹,

viely²,

Samarakoon³

2019

IJCNA

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In recent years, the use of Wireless Sensor Networks (WSNs) has been increasing. Like WSNs protocols development, localization is the main issue and needed to address several areas including 3D and mobile anchor-based localization algorithms. WSNs are being used widely in different fields like environment, disaster relief, target tracking and several other applications like the SCADA system for the high voltage of electricity. In many applications, node localization is very important in which the system needed to know the exact location of the event. This paper addresses the main ideas and techniques published in recent years. We highlight the error performance analysis between the algorithms stated static 3D localization.

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Nature-Inspired Optimization Algorithms for Localization in Static and Dynamic Wireless Sensor Networks—A Survey

Kaur

Rani

2021

Lecture Notes in Networks and Systems

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Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks—A Review

Cited by 7 publications

References 95 publications

A Modified Search and Rescue Optimization Based Node Localization Technique in WSN

A Modified Search and Rescue Optimization Based Node Localization Technique in WSN

Performance Analysis of Wireless Sensor Network Localization algorithms

Nature-Inspired Optimization Algorithms for Localization in Static and Dynamic Wireless Sensor Networks—A Survey

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