MANETs are important and integral part of next generation wireless networking. Real time multimedia communication over MANETs is challenging due to reasons like network topology changes, limitations of wireless links and demanding requirements of multimedia. Channel adaptivity is adopting applications to the dynamic and unpredictable network conditions. QoS adaptivity is adopting lower layers to multimedia application requirements. The novel cross layer context exchange approach called ConEx, presented in this paper improves the efficiency of this two-way information exchange. This paper focuses on adaptive multimedia applications over mobile ad hoc networks, which addresses the challenges of multimedia applications. ConEx uses publish-subscribe event notification system for vertical context exchange across layers of the mobile host and horizontal context exchange across the MANET. ConEx architecture and implementation issues are discussed in this paper.
Real time mobile communication is challenging due to the inherent limitations of mobile networks. On the other hand the stringent quality of service requirements of real time traffic is highly in demand. Our first contribution is the generic context aware architecture for adaptive real time applications. Adaptation is based on the awareness of context parameters from different layers of the existing protocol stack which involves context exchange among the neighboring layers as well as non-neighboring layers. The architecture comprises of context representation, context acquisition, cross-layer context exchange and context management. Our second contribution is the mobility aware, adaptive Multi-homed Mobile IP. Simulation of adaptive M-MIP was carried out as a proof of concept. Simulation demonstrated that adaptation to mobility was able to decrease Mobile IP handover latency. Further, the results show that the quality of service of real time traffic can be enhanced by using context aware adaptive MIP. The simulation involved with various speeds ranging from pedestrian scenarios to vehicular scenarios. Results are analyzed with variable data rates. The evaluations show that performance of the proposed solution is better compared to conventional MIP in terms of packet loss and throughput of real time traffic.
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