Kiran M

Work place: Dept. Of Information Technology, National Institute of Technology Karnataka (NITK), Surathkal (D.K), Karnataka, INDIA



Research Interests: Swarm Intelligence


Dr. Kiran M is currently working as an Assistant Professor in the Department of Information Technology, National Institute of Technology Karnataka (NITK), Mangalore, INDIA. He received his doctoral degree in 2014 from NITK. He has 14 years of Teaching and Research experience. He has many articles in conferences/International/National Journals to his credit. His research interest includes Wireless ad hoc Network, Swarm Intelligence applications in WSN and Block chain technologies.

Author Articles
Energy Aware Stable Multipath Disjoint Routing Based on Accumulated Trust Value in MANETs

By Benakappa S M Kiran M

DOI:, Pub. Date: 8 Aug. 2022

Conserving energy and finding the stable path are the two vital issues in Mobile Ad Hoc Networks (MANETs) as the prior increases the network lifetime and the later increases the network throughput. The nodes which are not legitimate in terms of residual energy and packet forwarding history might be a threat to the path thereby making the path unstable. Thus, it results in frequent link failure, reduced throughput, reduced network and path life time. In order to reduce these hazards, authors have proposed an energy efficient, reliable path selecting protocol referred to as Trust Based Energy Aware Multipath Disjoint Routing Protocol (TEA-MDRP) for MANETS in this article. TEA-MDRP finds the optimum route between the source and the destination nodes using two parameters namely, the Accumulated Trust Value (ATV) and the node’s residual energy (N_res). ATV is calculated based on the packet forwarding status of the node which shows how good the node is in terms of packet forwarding point of view. TEA-MDRP allows only the nodes which have a good ATV and sufficient residual energy. A good ATV shows loyalty in forwarding the packets while a sufficiently large residual energy node avoids frequent path breakups and packet drops. Thus, the TEA-MDRP not only increases the network and path lifetime but also increases the throughput of the communication. Further, with the legitimate nodes in the paths, the TEA-MDRP considerably reduces the control packet overhead which might occur because of the frequent route re-discovery process. An extensive simulation is carried out using Network Simulator-2.35 for the quantitative and qualitative analysis of TEA-MDRP. The results obtained are compared with classical AOMDV and the results are satisfactory.

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