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Performance Comparison of Localization Techniques in Term of Accuracy in Wireless Sensor Networks

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 712))

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Abstract

Localization is an important part of the Wireless Sensor Networks (WSN), therefore without the location’s information, messages will be missed. Basically, there are many localization algorithms to localize a node in WSN, however when we handle the number of anchors, we influence the accuracy of the localization, in this paper we shall first explore various techniques of localization, and in the second step we shall compare their performance in term of accuracy, we will also demonstrate that increasing the number of anchors, influences the accuracy of each localization technique.

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Author information

Authors and Affiliations

  1. LRIT-GSCM Associated Unit to CNRST (URAC 29), FSR Mohammed V-Agdal University, BP 1014, Rabat, Morocco

    Omar Arroub & Moly Driss Rahmani

  2. LIMATI, University of Sultan Moulay Slimane Faculte Polydisciplinaire, Beni-Mellal, Morocco

    Anouar Darif

  3. SIRC/LAGES-EHTP, Hassania School of Public Labors, Km 7 El Jadida Road, B.P 8108, Casa-Oasis, Morocco

    Rachid Saadane

Authors
  1. Omar Arroub
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  2. Anouar Darif
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  3. Rachid Saadane
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  4. Moly Driss Rahmani
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Corresponding author

Correspondence to Omar Arroub .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Arroub, O., Darif, A., Saadane, R., Rahmani, M.D. (2023). Performance Comparison of Localization Techniques in Term of Accuracy in Wireless Sensor Networks. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 712. Springer, Cham. https://doi.org/10.1007/978-3-031-35251-5_16

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