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Robust Clustering Routing Method for Wireless Sensor Networks Considering the Locust Search Scheme

Author

Listed:
  • Alma Rodríguez

    (Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara C.P. 44430, Jalisco, Mexico
    Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico
    Desarrollo de Software, Centro de Enseñanza Técnica Industrial Colomos, Calle Nueva Escocia 1885, Providencia 5a Sección, Guadalajara C.P. 44638, Jalisco, Mexico)

  • Marco Pérez-Cisneros

    (Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara C.P. 44430, Jalisco, Mexico)

  • Julio C. Rosas-Caro

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico)

  • Carolina Del-Valle-Soto

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico)

  • Jorge Gálvez

    (Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara C.P. 44430, Jalisco, Mexico)

  • Erik Cuevas

    (Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara C.P. 44430, Jalisco, Mexico)

Abstract

Multiple applications of sensor devices in the form of a Wireless Sensor Network (WSN), such as those represented by the Internet of Things and monitoring dangerous geographical spaces, have attracted the attention by several scientific communities. Despite their interesting properties, sensors present an adverse characteristic: they manage very limited energy. Under such conditions, saving energy represents one of the most important concepts in designing effective protocols for WSNs. The objective of a protocol is to increase the network lifetime through the reduction of energy consumed by each sensor. In this paper, a robust clustering routing protocol for WSNs is introduced. The scheme uses the Locust Search (LS-II) method to determine the number of cluster heads and to identify the optimal cluster heads. Once the cluster heads are recognized, the other sensor elements are assigned to their nearest corresponding cluster head. Numerical simulations exhibit competitive results and demonstrate that the proposed protocol allows for the minimization of the energy consumption, extending the network lifetime in comparison with other popular clustering routing protocols.

Suggested Citation

  • Alma Rodríguez & Marco Pérez-Cisneros & Julio C. Rosas-Caro & Carolina Del-Valle-Soto & Jorge Gálvez & Erik Cuevas, 2021. "Robust Clustering Routing Method for Wireless Sensor Networks Considering the Locust Search Scheme," Energies, MDPI, vol. 14(11), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3019-:d:560576
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    References listed on IDEAS

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    1. Erik Cuevas & Adrián González & Fernando Fausto & Daniel Zaldívar & Marco Pérez-Cisneros, 2015. "Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-25, August.
    2. Lingping Kong & Jeng-Shyang Pan & Václav Snášel & Pei-Wei Tsai & Tien-Wen Sung, 2018. "An energy-aware routing protocol for wireless sensor network based on genetic algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(3), pages 451-463, March.
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    Cited by:

    1. Mudassir Khan & A. Ilavendhan & C. Nelson Kennedy Babu & Vishal Jain & S. B. Goyal & Chaman Verma & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022. "Clustering Based Optimal Cluster Head Selection Using Bio-Inspired Neural Network in Energy Optimization of 6LowPAN," Energies, MDPI, vol. 15(13), pages 1-14, June.

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