Routing in the Internet (2nd ed.)
Routing in the Internet (2nd ed.)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Minimum-power multicast routing in static ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Approximating Optimal Multicast Trees in Wireless Multihop Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Energy-aware multicasting in wireless ad hoc networks: A survey and discussion
Computer Communications
Data fusion algorithms in cluster-based wireless sensor networks using fuzzy logic theory
ICCOM'07 Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications - Volume 11
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Distributed Minimum Transmission Multicast Routing Protocol for Wireless Sensor Networks
ICPP '10 Proceedings of the 2010 39th International Conference on Parallel Processing
Unicast versus multicast for live TV delivery in networks with tree topology
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
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This paper addresses the problem of multisession multicast tree construction with bandwidth and rate allocation in wireless sensor networks. Previous work has shown that when the goal is to find multicast routing tree, the problem becomes NP-complete. In this work, we present a heuristic Multisession Multicast Routing and Bandwidth Allocation protocol, termed MMBA, that makes use of fuzzy logic to evaluate nodes' and network conditions during the multicast tree construction process. Rate assignment is optimized in order to be able to accept as many data streams (i.e., sessions) at the highest possible data rate in the sensor network as possible, allowing source nodes to transmit at maximum available rate, while maximizing the overall network throughput and utility. We conduct extensive evaluations to study the performance of the proposed protocol compared to existing approaches such as shortest path, Steiner and minimum transmission tree. Simulation results show that our protocol effectively improves the network throughput and utilization, while conserving per node energy consumption.