An infrastructure-free, a self-configuring network of mobile nodes, known as a Mobile Ad hoc Network (MANET), has recently gained popularity due to its simple setup. MANET has become widely applicable in various fields. In recent years, diverse research works have been explored to provide strategies for attaining the optimal path for energy routing in MANET. Thus, it faces several challenges which could not be more effective in the existing approaches. Here, the route maintenance, route setup time, and routing overhead problems become serious consideration issues in the MANET. An energy-efficient routing protocol might perform substantially worse than a standard routing protocol if it is not designed properly. MANET faces several issues that are related to security design, such as restricted resources, shared wireless media, dynamic network topology and open end-to-end networks. Due to the dynamic nature of nodes, it could be difficult to establish a Quality of Service (QoS) while the routing occurs in the MANET. To solve these issues, a trust-based optimal path selection in MANET is designed using the Sooty Tern Optimization Algorithm (STOA). Here, the different multi-objective functions like throughput, path loss, the energy that is still available in the battery, link cost, packet energy cost, end-to-delay, routing overhead ratio, energy consumption, packet delivery ratio and security which help to provide an effective data communication in MANET. In the developed model, security is the main constraint to be considered for the optimal routing scheme in the MANET. The implementation results are validated with the traditional optimal routing schemes in MANET to ensure the effectiveness of the suggested routing approach.


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    Titel :

    Adaptive Trust-Based Optimal Route Selection Algorithm in MANET Using Sooty Tern Optimization Algorithm


    Beteiligte:


    Erscheinungsdatum :

    2023-11-22


    Format / Umfang :

    620323 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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