Department of Computer Science and Information Systems

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    Cross layer adaptive congestion control for best-effort traffic of IEEE 802.11e in mobile ad hoc networks
    (IEEE, 2016) Gudino, Lucy J.
    The dominance of multimedia traffic over the Internet, coupled with the rising number of applications of MANETs, has made Quality of Service (QoS) a major concern. The IEEE 802.11e standard enhanced distributed channel access(EDCA) has been proposed as an enhancement of 802.11 standard, which provides QoS at MAC layer with a service differentiation scheme for high priority traffic. But IEEE 802.11e has not adequately addressed the issue of handling best effort traffic data flows through contention-based networks which in turn results in TCP performance degradation. To enhance the best effort traffic performance in 802.11e with high-quality of service to maximize the system throughput, we propose a novel scheme called, Adaptive Best Effort Traffic Scheduler for EDCA(ABET-EDCA). In this scheme, TCP packets get prioritized by dynamically adapting to contention window parameters. In addition to this, traffic class monitors the MAC queue and computes TXOP limits value at runtime. This results in reduced delay and loss factor. Additionally, we incorporate the cross layer approach by exploiting the physical and MAC layer information to initiate corrective measures at the Transport and Network layer to enhance best effort traffic performance. The simulation conducted shows the significant improvement in TCP performance in terms of goodput, delay and throughput even under high loads compared to EDCA.
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    QoS based multipath routing in MANET: A cross layer approach
    (IEEE, 2017) Gudino, Lucy J.
    MANET is a network of mobile nodes which is infrastructure-less, self-configuring and are gaining popularity in recent times due to the ease of deployment. Applications such as audio/video conferencing require very stringent and inflexible Quality of Service (QoS) in data delivery. To provide QoS in Routing in MANET is a challenging issue because of the dynamic nature of nodes and limited node energy. In this paper, we proposed a QoS aware weight based on demand Multipath Routing protocol (QMR) to enhance Quality of Service (QoS). QMR is based on cross-layer design, which cooperate in sharing network-status information within different layers of protocol while maintaining the layers' separation to improve overall network performance. In QMR, the weight of the link is decided by multiple QoS factors like signal strength, and residual energy. The maximum aggregated weight decided by these factors helps to choose the most optimal route which is stable and energy efficient between source and destination. The proposed protocol offers an increased lifetime of nodes, better throughput, low packet delay and high packet delivery ratio in different mobile environments.
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    A Cross-Layer Delay-Aware Node Disjoint Multipath Routing Algorithm for Mobile Ad Hoc Networks
    (AIRCJJ, 2014) Gudino, Lucy J.
    Mobile Ad Hoc Networks (MANETS) require reliable routing and Quality of Service(QoS) mechanism to support diverse applications with varying and stringent requirements. Routing protocols such as AODV, AOMDV, DSR and OLSR use minimum hop count as the metric for path selection, hence are not suitable for delay sensitive real time applications. To support such applications delay constrained routing protocols are employed. These Protocols makes path selection based on the delay over the discovered links during routing discovery and routing table calculations. We propose a variation of a node-disjoint Multipath QoS Routing protocol called Cross Layer Delay aware Node Disjoint Multipath AODV (CLDM-AODV) based on delay constraint. It employs cross-layer communications between MAC and routing layers to achieve link and channel-awareness. It regularly updates the path status in terms of lowest delay incurred at each intermediate node. Performance of the proposed protocol is compared with single path AODV and NDMR protocols. Proposed CLDM-AODV is superior in terms of better packet delivery and reduced overhead between intermediate nodes.