G. Li1,2,3, D. G. Zhang*1,2, K. Zheng1,2, X. C. Ming1,2, Z. H. Pan1,2, K. W. Jiang1,2
1 Key Laboratory of Computer Vision and System (Tianjin University of Technology), Ministry of Education, China.
2 Tianjin Key Lab of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, China.
3 Daqing Geophysical Exploration Company, CNPC, Daqing, Heilongjiang Province, 163357, China. *gandegande@126.com.
ABSTRACT
]]> Wireless Sensor Networks (WSN) is widely used as an effective medium to integrate physical world and information world of Internet of Things (IOT). While keeping energy consumption at a minimal level, WSN requires reliable communication. Multicasting is a general operation performed by the Base Station, where data is to be transmitted to a set of destination nodes. Generally, the packets are routed in a multi-hop approach, where some intermediate nodes are also used for packet forwarding. This problem can be reduced to the well-known Steiner tree problem, which has proven to be NP-complete for deterministic link descriptors and cost functions. In this paper, we propose a novel multicast protocol, named heuristic algorithms for the solution of the Quality of Service (QoS) constrained multicast routing problem, with incomplete information in Wireless Sensor Networks (WSN). As information aggregation or randomly fluctuating traffic loads, link measures are considered to be random variables. Simulation results show that the Hop Neural Networks (HNN) based heuristics with a properly chosen additive measures can yield to a good solution for this traditionally NP complex problem, when compared to the best multicast algorithms known.Keywords: Multicast routing, WSN, hop neuron network.
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Acknowledgments
This work is supported by "863" project plan of China (No. 2007AA01Z188), National Natural Science Foundation of China (No. 61170173 & No. 60773073 & No. 61202169 & No. 61001174), Program for New Century Excellent Talents in University of China (No. NCET-09-0895), Key project of Ministry of Education of China (No. 208010) Tianjin Natural Science Foundation (No. 10JCYBJC00500),Tianjin Key Natural Science Foundation (No. 13JCZDJC34600).
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