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Energy Efficient MANET by Trusted Node Identification Using IHSO Optimization

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Smart Network Inspired Paradigm and Approaches in IoT Applications

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Abstract

In Mobile Ad Hoc Network (MANET), the nodes are communicating with each and every node without any centralized admin or base station. Without any node awareness, it runs out of power in routing protocol which leads to major issues in energy efficiency and the node’s link lifetime. To extend the energy efficiency of a routing protocol in MANET, proposed a protocol called Energy Efficient Ad hoc On-demand Distance Vectors Routing (EE-AODV). In the proposed study, the trusted nodes of MANET are identified for effective communication by the network parameter optimization. For optimizing the parameters, the random nodes are grouped by a new clustering model i.e. Virtual Link Weight based Clustering (VLWBC) and then trusted nodes are identified from each cluster by a metaheuristic algorithm i.e. Improved Harmony Search Optimization (IHSO). This IHSO algorithm optimizes the parameters such as QoS, energy consumption and network lifetime of MANET. The result demonstrates that the optimized MANET parameter improves the energy efficiency in all mobile nodes also and it achieves high QoS compared to existing algorithms.

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Authors and Affiliations

  1. Department of Computer Science, Pioneer College of Arts and Science, Coimbatore, India

    S. Krishnaveni

  2. Department of Computer Science & Applications, Annai Veilankanni’s College for Women, Chennai, India

    N. Angel

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  1. S. Krishnaveni
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Correspondence to S. Krishnaveni .

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Editors and Affiliations

  1. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

  2. Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, India

    Amit Kumar Singh

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Krishnaveni, S., Angel, N. (2019). Energy Efficient MANET by Trusted Node Identification Using IHSO Optimization. In: Elhoseny, M., Singh, A. (eds) Smart Network Inspired Paradigm and Approaches in IoT Applications. Springer, Singapore. https://doi.org/10.1007/978-981-13-8614-5_15

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  • DOI: https://doi.org/10.1007/978-981-13-8614-5_15

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  • Print ISBN: 978-981-13-8613-8

  • Online ISBN: 978-981-13-8614-5

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