The Vision of Autonomic Computing
Computer
Cross-layer QoS control for video communications over wireless ad hoc networks
EURASIP Journal on Wireless Communications and Networking
QoS-PAR: a routing protocol for wireless ad hoc networks using a cross-layer autonomic architecture
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
A local view management protocol for network-wide view construction in wireless networks
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
A cross-layer architecture for autonomic communications
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
Towards self-optimizing protocol stack for autonomic communication: initial experience
WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms
IEEE Wireless Communications
J-Sim: a simulation and emulation environment for wireless sensor networks
IEEE Wireless Communications
CrossTalk: cross-layer decision support based on global knowledge
IEEE Communications Magazine
QoS-PAR: a routing protocol for wireless ad hoc networks using a cross-layer autonomic architecture
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
A local view management protocol for network-wide view construction in wireless networks
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
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The provision of Quality of Service (QoS) over wireless networks has recently been the subject of intensive research. There is a growing consensus among the research community that combining cross-layering and autonomic paradigms is, until now, the best alternative for better QoS support in such networks. The cross-layer concept is recommended to over-come the performance problems of the wireless channel, and the autonomic concept is imposed as the size and complexity of networks grow. Most proposed cross-layer architectures lack of autonomicity. Moreover, the majority of them considers purely local information in their optimizations and do not care about the effects of such egoistic behavior on other wireless nodes. This non-collaborative behavior limits the overall system performance. We combine cross-layering and autonomic concepts in the design of a new architecture called XLEngine (Cross-Layer Engine) having the ability to make optimizations based on local and network wide knowledge. We implemented XLEngine under the simulator J-Sim. We show, through simulations, that our XLEngine architecture significantly outperforms the layered architecture.