Architectural analysis for lifetime maximization and energy efficiency in hybridized WSN model

  • Authors

    • Kale Navnath Dattatraya
    • K Raghava Rao
    • D Satish Kumar
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10870
  • ALO, Cluster Head Selection, GAL-LF, Network lifetime, WSN.

  • Abstract

    It is well known that WSN is one of the leading techniques in granting pervasive computing for various applications regarding health sector and communication sector. However, the raising of issues in WSN is still a burden cause because of certain renowned terms like energy consumption and network lifetime extension. Clustering is a major contribution in any network and moreover Cluster Head selection is also a vital role since it is additively responsible in sending data to the base station, which means that Cluster Head directly makes its communication with base station. Day by day, the researches in cluster head selection get increased, but the requirements are not yet fulfilled. This paper proposes a energy efficient cluster head selection algorithm for maximizing the WSN lifetime. This paper develops a hybrid optimization process termed Group Search Ant Lion with Levy Flight (GAL-LF) for selecting the Cluster head in WSN. The proposed model is compared to the conventional models such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Group Search Optimization (GSO), Ant Lion Optimization (ALO) and Cuckoo Search (CS). The outcome of the simulation result shows the superiority of the proposed model by prolonging the lifetime of the network.

     

     

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  • How to Cite

    Navnath Dattatraya, K., Raghava Rao, K., & Satish Kumar, D. (2018). Architectural analysis for lifetime maximization and energy efficiency in hybridized WSN model. International Journal of Engineering & Technology, 7(2.7), 494-501. https://doi.org/10.14419/ijet.v7i2.7.10870

    Received date: 2018-04-01

    Accepted date: 2018-04-01

    Published date: 2018-03-18