Conference Papers

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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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    Throughput enhancement of the prioritized flow in self aware MANET based on neighborhood node distances
    (2011) Manjappa, M.; Guddeti, G.
    Mobility causes frequent link failures in ad hoc network resulting in packet losses. Another cause of packet loss is collision which MANET misinterprets as link failure and triggers route maintenance phase. Triggering of this unnecessary route maintenance phase adds extra overhead to the network resulting in low throughput. In this paper a Quality of Service (QoS) aware cross layer model PrioritizedQoS (PrQoS) is proposed to improve the throughput of the prioritized flow in Self Aware MANET. According to the distance of the receiving node from the transmitting node, which is found using Received Signal Strength, packets are treated differently in lower layers by dynamically adjusting the Request To Send (RTS) retry limit based on the priority of the flow. The simulation is done in ns-2 and the PrQoS is compared with the traditional methods i.e. default behavior of the protocols. The results show that the prioritized flow achieves higher throughput than the unprioritized flow when compared to traditional method. Further the PrQoS also avoids unnecessary route re-discovery attempts by finding the root cause of the packet drop based on the distance between the nodes thereby reducing the network load. © 2011 IEEE.
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    Cognitive network layer in MANETs mobility aware routing protocol
    (2012) Zakeerhusen, A.G.; Manjappa, M.; Guddeti, G.
    It is intended to add cognition to make cognitive network layer in order to design and develop Quality of Service (QoS) aware adaptive routing protocol in Mobile Adhoc Networks (MANETs). QoS-aware routing is challenging as nodes in the network are free to move, the topology will be changing dynamically. Performance of AODV will be less when nodes in the network are highly mobile. In this paper, Mobility Aware Routing Protocol (MARP) model is proposed to extract a core part in MANET that is stable in terms of mobility of the nodes. This core part is a subset of MANET mobile nodes through which transmission will be done. Here selection of paths through this extracted core can ensure more QoS in time. The MARP model not only provides a better way to discover a QoS but it considers an efficient route maintenance scheme by selecting the route which has more stability as source is having knowledge about other available paths. Since MARP is multipath routing protocol, route maintenance is easy and it robust. By simulation MARP show better performance over existing AODV-on demand routing protocol. © 2012 Springer-Verlag.