Node Localization based on Anchor Placement using Fuzzy C-Means in a Wireless Sensor Network

• Autorzy: Irid Sidi Mohammed Hadj , Hadjila Mourad , Hachemi Mohammed Hicham , Souiki Sihem , Mosteghanemi Reda , Mostefai Chaima

Identyfikatory

DOI

10.24425/ijet.2023.144337

• Języki publikacji: EN

Abstrakty

EN

Localization is one of the oldest mathematical and technical problems that have been at the forefront of research and development for decades. In a wireless sensor network (WSN), nodes are not able to recognize their position. To solve this problem, studies have been done on algorithms to achieve accurate estimation of nodes in WSNs. In this paper, we present an improvement of a localization algorithm namely Gaussian mixture semi-definite programming (GM-SDP-2). GMSDP is based on the received signal strength (RSS) to achieve a maximum likelihood location estimator. The improvement lies in the placement of anchors through the Fuzzy C-Means clustering method where the cluster centers represent the anchors’ positions. The simulation of the algorithm is done in Matlab and is based on two evaluation metrics, namely normalized root-mean-squared error (RMSE) and cumulative distribution function (CDF). Simulation results show that our improved algorithm achieves better performance compared to those using a predetermined placement of anchors.

Słowa kluczowe

EN

WSN; localization algorithm; anchors; GM-SDP-2; WLS; CRLB; Fuzzy C-Means; RMSE; CDF

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2023
• Tom: Vol. 69, No. 1
• Strony: 99--104
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr.

Twórcy

autor

Irid Sidi Mohammed Hadj

• Dept. of Telecommunications, Faculty of Technology, University of Abou Bekr Belkaid, Tlemcen, Algeria

autor

Hadjila Mourad

• Dept. of Telecommunications, Faculty of Technology, University of Abou Bekr Belkaid, Tlemcen, Algeria

autor

Hachemi Mohammed Hicham

• Dept. of Electronics, Faculty of Electrical Engineering, University of Science and Technology of Oran - Mohamed Boudiaf (USTO-MB), Oran, Algeria

autor

Souiki Sihem

• Dept. of Telecom, Faculty of Technology, University of Belhadj Bouchaib, Ain Temouchent, Algeria

autor

Mosteghanemi Reda

• Dept. of Telecommunications, Faculty of Technology, University of Abou Bekr Belkaid, Tlemcen, Algeria

autor

Mostefai Chaima

• Dept. of Telecommunications, Faculty of Technology, University of Abou Bekr Belkaid, Tlemcen, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).