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A Hybrid Swarm Evolution Optimization for Solving Sensornet Node Localization

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Intelligent Systems and Networks (ICISN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 243))

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Abstract

A new approach to node localization is proposed by using the combined localization model in Wireless sensor nets (WSN) with a hybridized swarm evolution algorithm (HSEA). Mathematically, based on the distances of the localizing model and Pareto, the fitness function is determined. To achieve better efficiency, the HSEA is implemented by combining the particle swarm optimizer (PSO) with the differential-evolution (DE) algorithms. Applied HSEA deals with the node location situation in WSN. The simulation compares the results of the proposed scheme with the others schemes to demonstrate that the suggested task using HSEA achieves better performance than the competitors.

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Author information

Authors and Affiliations

  1. School of Computer Science and Mathematics, Fujian University of Technology, Fujian, 350118, China

    Trong-The Nguyen & Tien-Wen Sung

  2. University of Management and Technology, Haiphong, 18000, Vietnam

    Trong-The Nguyen

  3. Center of Information Technology, Hanoi University of Industry, Hanoi, Vietnam

    Duc-Tinh Pham

  4. Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam

    Duc-Tinh Pham

  5. Thuyloi-University, 175 Tay Son, Dong-Da, Hanoi, Vietnam

    Truong-Giang Ngo

  6. Information Technology Faculty, Electric Power University, Hanoi, Vietnam

    Van-Dinh Vu

Authors
  1. Trong-The Nguyen
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  2. Tien-Wen Sung
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  3. Duc-Tinh Pham
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  4. Truong-Giang Ngo
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  5. Van-Dinh Vu
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Corresponding author

Correspondence to Truong-Giang Ngo .

Editor information

Editors and Affiliations

  1. Phenikaa University, Hanoi, Vietnam

    Duc-Tan Tran

  2. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Hanoi University of Industry, Hanoi, Vietnam

    Thi Dieu Linh Nguyen

  4. University of Huddersfield, Huddersfield, UK

    Joan Lu

  5. University of Transport Technology, Hanoi, Vietnam

    Thu-Do Xuan

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Nguyen, TT., Sung, TW., Pham, DT., Ngo, TG., Vu, VD. (2021). A Hybrid Swarm Evolution Optimization for Solving Sensornet Node Localization. In: Tran, DT., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds) Intelligent Systems and Networks . ICISN 2021. Lecture Notes in Networks and Systems, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-2094-2_13

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