WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Multi-team data flow optimization in wireless multi-rate multi-hop networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy-aware online routing with QoS constraints in multi-rate wireless ad hoc networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Maximizing multicast call acceptance rate in multi-channel multi-interface wireless mesh networks
IEEE Transactions on Wireless Communications
Efficient wireless broadcasting using onion decoding
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Maximum bandwidth broadcast in single and multi-interface networks
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Load-aware multicast routing metrics in multi-radio multi-channel wireless mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless Personal Communications: An International Journal
MR2_ODMRP: Improvement of End-to-End Transmission Delay in Wireless Multicast Routing
Wireless Personal Communications: An International Journal
Computers and Electrical Engineering
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We address the problem of minimizing the worst-case broadcast delay in “multi-radio multi-channel multi-rate wireless mesh networks” (MR2-MC WMN) in a distributed and localized fashion. Efficient broadcasting in such networks is especially challenging due to the desirability of exploiting the “wireless broadcast advantage” (WBA), the interface-diversity, the channel-diversity and the rate-diversity offered by these networks. We propose a framework that calculates a set of forwarding nodes and transmission rate at these forwarding nodes irrespective of the broadcast source. Thereafter, a forwarding tree is constructed taking into consideration the source of broadcast. Our broadcasting algorithms are distributed and utilize locally available information. We present a detailed performance evaluation of our distributed and localized algorithm and demonstrate that our algorithm can greatly improve broadcast performance by exploiting the rate, interface and channel diversity of MR2-MC WMNs and match the performance of centralized algorithms proposed in literature while utilizing only limited two-hop neighborhood information.