Faculty Publications

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    Cross layer service driven adaptive retry limit for IEEE 802.11 mobile ad-hoc networks
    (2011) Manjappa, M.; Guddeti, G.
    Traffic in future Mobile Ad-Hoc Network (MANET) is expected to carry a mix of real time multimedia, and non real time file transfer etc. Providing Quality of Service (QoS) for these different applications is difficult and the current research on MANET is choosing the Cross Layer Design for providing QoS. The packet loss due to collision is misinterpreted by MANET as route failure and this triggers route maintenance phase causing unnecessary overhead resulting in low throughput. In this paper, we propose a service driven cross layer model in order to increase the throughput by dynamically adjusting the limits of Request to Send (RTS) retransmission for different flows in the network according to the priority. Simulation is done in NS-2 and the proposed method is compared with IEEE 802.11 DCF MAC using two ad-hoc routing protocols namely AODV and DSR. The results show that the prioritized flow achieves higher throughput over un-prioritized flow when compared to IEEE 802.11 MAC. © 2011 IEEE.
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    Distance based termite algorithm for mobile ad-hoc networks
    (2012) Manjappa, M.; Praveenkumar, G.H.; Guddeti, G.
    Providing Quality of Service (QoS) in Mobile Ad-Hoc Networks (MANET's) is difficult due to dynamic nature of its topology. Today's research trends show that Swarm Intelligence (SI) can be used effectively to provide QoS in MANET and also MANET is not much explored in the area of SI. Motivated by their self organizing behavior and robustness many routing algorithms have been proposed for both wired and wireless networks. SI routing algorithms are driven by mainly two functions, Pheromone update-decay functions and Forwarding functions. In this paper, a new pheromone update and decay function for Termite algorithm is proposed for MANET which reflects the current context of the network that is the distance between the Mobile Nodes at the time of transmitting the packets. Received Signal Strength (Pr) from Physical Layer is used to find the distance and it is made visible at the Network Layer through Cross Layer Model. The proposed model is simulated and the results are compared with the existing methods and the metric used for the comparison are throughout and control packet overhead. The results show that the new distance based pheromone update and decay methods perform better than the other existing methods. © 2012 Springer-Verlag.
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    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.
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    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.