Data networks
Wireless digital communications: modulation & spread spectrum applications
Wireless digital communications: modulation & spread spectrum applications
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
On-Demand Multi Path Distance Vector Routing in Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Ad Hoc Wireless Networks
Providing differentiated QoS for peer-to-peer file sharing systems
ACM SIGOPS Operating Systems Review
Dynamic handoff scheme in differentiated QoS wireless multimedia networks
Computer Communications
Optimized video streaming over 802.11 by cross-layer signaling
IEEE Communications Magazine
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Generally, real time applications needs different levels of the Quality of Service (QoS) which must be guaranteed by the underlying network infrastructure. Wireless Ad Hoc networks introduce many technological challenges in guaranteeing these stringent QoS requirements which must be addressed. Many optimization theoretic based bandwidth allocation strategies have been developed for guaranteeing some levels of QoS for some classes of competing real-time users in wireless ad hoc networks. The rapid increase in the development of different real-time applications with stringent maximum packet loss requirements in such environments and the existence of difficulties in satisfying the pre-specified QoS limits, is a great motivation for designing some type of differentiated QoS guaranteeing mechanisms that can satisfy the demands of this class of the real-time traffics. In the current work, a cross-layer optimization framework is being developed in which, based on the packet loss information from the lower layers, optimal bandwidths are assigned to the real-time applications which need some levels of the maximum packet loss guaranties. As, each real-time application needs a different level of maximum packet loss guarantee, a weighted aggregate packet loss objective function is being introduced. The weights are proportional with the importance of the packet loss mitigation for a specific application and may be associated with some negotiated Service Level Agreement (SLA). The simulation results verify the claims.