Research Article

Classification and Evaluation of Localization Techniques in Wireless Sensor Networks: A Comparative Analysis Based on Performance Metrics

by  Omeed Kamal Khorsheed, Md Asri Bin Ngadi, Abdul Hanan Abdullah, Hamid Hantoosh Jebur
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 74
Published: January 2026
Authors: Omeed Kamal Khorsheed, Md Asri Bin Ngadi, Abdul Hanan Abdullah, Hamid Hantoosh Jebur
10.5120/ijca2026926261
PDF

Omeed Kamal Khorsheed, Md Asri Bin Ngadi, Abdul Hanan Abdullah, Hamid Hantoosh Jebur . Classification and Evaluation of Localization Techniques in Wireless Sensor Networks: A Comparative Analysis Based on Performance Metrics. International Journal of Computer Applications. 187, 74 (January 2026), 40-50. DOI=10.5120/ijca2026926261

                        @article{ 10.5120/ijca2026926261,
                        author  = { Omeed Kamal Khorsheed,Md Asri Bin Ngadi,Abdul Hanan Abdullah,Hamid Hantoosh Jebur },
                        title   = { Classification and Evaluation of Localization Techniques in Wireless Sensor Networks: A Comparative Analysis Based on Performance Metrics },
                        journal = { International Journal of Computer Applications },
                        year    = { 2026 },
                        volume  = { 187 },
                        number  = { 74 },
                        pages   = { 40-50 },
                        doi     = { 10.5120/ijca2026926261 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2026
                        %A Omeed Kamal Khorsheed
                        %A Md Asri Bin Ngadi
                        %A Abdul Hanan Abdullah
                        %A Hamid Hantoosh Jebur
                        %T Classification and Evaluation of Localization Techniques in Wireless Sensor Networks: A Comparative Analysis Based on Performance Metrics%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 74
                        %P 40-50
                        %R 10.5120/ijca2026926261
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Although Wireless Sensor Networks have numerous applications, including monitoring health or the environment, military surveillance, industrial automation, and intelligent systems, nevertheless, there is hardly any clearly best technique for localization. Instead, each technique has its pros and cons that must be analysed regarding the particular needs of the application. This paper systematically catalogues the classification of techniques used for localization in WSNs, focusing on different local metric principles. Thereafter, every technique is studied and analysed exhaustively as regards their pros and cons. Moreover, a variety of quantitative indicators such as accuracy, complexity of implementation, cost, ease of use, trustworthiness, energy use, and extent of scalability are utilized for comparison. This analysis assists in elucidation the shortcomings and benefits of every technique and how they are valued in changing situations in diverse WSN applications. Moreover, the analysis outcome assists the practitioner and the researcher in selecting the appropriate localization technique.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

WSN Localization Classification Performance Metrics Comparison

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