Faculty Publications
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Publications by NITK Faculty
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Item A gene expression based quality of service aware routing protocol for mobile ad hoc networks(2013) Kubusada, Y.; Mohan, G.; Manjappa, M.; Guddeti, G.Mobile Ad Hoc Network (MANET) is a collection of infrastructure less multi-hop wireless mobile nodes which communicate together to achieve the global task. Despite lack of centralized control these mobile nodes still coordinate together to deliver the message to the destination node. MANET is gaining its popularity due to its easy deployment and self-organizing ability. In spite of its unique characteristics, mobility of mobile nodes causes frequent link breakups in MANET and thus makes route setup and maintenance a critical and challenging task. As real time and multimedia applications are increasing, there is a need of an efficient Quality of Service (QoS) aware routing protocol for MANET to support such applications. In the present work, the authors proposed an efficient QoS aware routing protocol for MANET based on upcoming Gene Expression Programming. In the proposed work, the information regarding the availability of resources is managed by a resource management module, which assists in selecting the resource rich path. Further, a theoretical proof is given for the proposed model for its correctness. The results are compared with the state of art artificial neural network and support vector regression methods from the performance evaluation point of view and the results are encouraging. © 2013 Springer Science+Business Media.Item Design and evaluation of load balanced termite: A novel load aware bio inspired routing protocol for mobile Ad Hoc network(Kluwer Academic Publishers, 2014) Manjappa, M.; Guddeti, G.Bio inspired computing based on Swarm Intelligence is successful in dealing with the networking problems such as routing, congestion and load balancing by finding an optimal path to the destination. Most of the existing bio inspired protocols for MANETs focused only on the routing problem. In this paper, a novel heuristic bio inspired routing with load balancing algorithm referred to as Load Balanced Termite (LB-Termite) is proposed for MANETs by exploiting the salient features of social insect, "Termites". The primary objective of the LB-Termite algorithm is to find the stable nodes and thereby giving preferences for these stable nodes during the path setup; thus finding the reliable route to the destination. The secondary objective of the proposed LB-Termite algorithm is to mitigate the stagnation problem by using pheromone heuristic control method. The simulation results of LB-Termite are compared with other state-of-the-art bio inspired routing algorithms (ACO based Simple Ant Routing Algorithm and the Termite algorithm) and non bio inspired (Ad Hoc on Demand Distance Vector Routing Algorithm) routing protocols for its performance evaluation and the results are found to be encouraging. © 2013 Springer Science+Business Media New York.Item Bat-termite: A novel hybrid bio inspired routing protocol for mobile ad hoc networks(Inderscience Publishers, 2014) Manjappa, M.; Guddeti, R.M.R.In this paper, the authors have proposed a novel hybrid bio-inspired routing protocol for Mobile Ad Hoc Networks (MANETs), referred to as bat-termite, by combining the unique features of both social insect termites and mammals bats. The primary objective of the proposed work is to design an adaptive routing protocol for MANETs based on the hill building nature of the termites. The secondary objective of the proposed work is to improve the backup route maintenance of the proposed algorithm using the echo-location feature of the bats. The proposed bat-termite algorithm exhibits superior routing features such as quick route discovery, high robustness with efficient management of multiple routes and rapid route repair. The bat-termite algorithm is simulated in NS-2 and the simulation results are compared with the bio-inspired (termite and D-Termite) and non bio-inspired (AODV and AOMDV) routing protocols from the performance evaluation point of view. Copyright © 2014 Inderscience Enterprises Ltd.