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Energy Efficient Optimized Sleep Scheduling Routing Protocol for Enhancement of MANET Lifetime

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Abstract

Mobile Ad hoc Network (MANET) is an infrastructure-less network of mobile nodes which used in military, rescue operations, disaster relief, and rural areas for communications. To process the data packets, MANET nodes consume a lot of energy during real time data transmission. The conventional protocol selects the random route path in the network. Due to overhead in the random route path the power consumptions may exhaust the energy of nodes which causes the communication delay or may path failure. To address these issues an optimized energy efficient routing protocol could be used which prevents excessive consumption of node energy and enhances the network lifespan. In our research work, a novel nature-inspired Energy Efficient Optimized Sleep Scheduling (EEOSS) protocol is proposed to enhance the effectiveness and increase lifetime of ad hoc network. EEOSS protocol is the hybridization of ad hoc on-demand multi-path distance vector (AOMDV), Ant colony optimization (ACO), Particle swarm optimization (PSO) and sleep scheduling (SS) algorithms. AOMDV selects the multiple paths for data transmission whereas, ACO and PSO are used to identify the optimum route path based on number of nodes, packet size and node speed. To save the energy of nodes the SS algorithm puts nodes into sleep state when nodes are not participating actively in the network. The suggested protocol is compared experimentally with other existing routing protocols and measures performance based on throughput, energy consumption, end-to-end delay (E2ED), and network lifetime. The experiments are simulated on NS 2.35 and the results find that the EEOSS protocol has 12% improvement in throughput, 18% improvement in network lifetime, 12% improvement in E2ED and 9% improvement for energy consumption as compare to other state of art.

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Data Availability

The data that support the findings of this study are available, upon reasonable request.

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Authors and Affiliations

  1. Department of Information Technology, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India

    Veepin Kumar, Surendra Kumar Keshari & Sanjeev Kumar

  2. Department of Computer Science and Engineering, Chandigarh University, Chandigarh, Punjab, India

    Sanjay Singla

  3. Department of Computer Applications, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India

    Shalika Arora

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Contributions

Veepin Kumar: Conception and design of the work, Data collection and analysis, study of simulation tool, written the research paper, interpretation of results. Dr. Sanjay Singla: Study conception, supervision, and investigation on challenges and draft manuscript preparation. Shalika: Conception and design the work and overall direction and planning. Dr. Surendra Kumar Keshari: Direction and Conception of the work. Sanjeev Kumar: Analysis of the result and conception of work. All the authors read and approved the final version.

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Kumar, V., Singla, S., Arora, S. et al. Energy Efficient Optimized Sleep Scheduling Routing Protocol for Enhancement of MANET Lifetime. Wireless Pers Commun 136, 1849–1877 (2024). https://doi.org/10.1007/s11277-024-11365-z

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