DocumentCode :
2911447
Title :
Simulation Research of the QoS Multicast Routing in WSN Based on QPSO Algorithm
Author :
Yourui, Huang ; Yiming, Tian ; Chaoli, Tang
Author_Institution :
Sch. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
Volume :
3
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
39
Lastpage :
43
Abstract :
The energy constraint bottleneck in the wireless sensor networks (WSN) exist objectively. To reduce energy consumption and ensure the Quality of Service (QoS) in data transmission, a method of solving the QoS multicast routing in WSN by quantum particle swarm optimization algorithm (QPSO). The algorithm is based on PSO, quantum-bit, principle of superposition and quantum gates. By the premise of avoiding local convergence and reducing the energy consumption, it can solving the QoS multicast routing rapidly, which help to prolong the network lifetime efficiently. The simulation results indicate that its feasibility and effectiveness.
Keywords :
algorithm theory; data communication; energy consumption; network routing; particle swarm optimisation; quality of service; quantum computing; wireless sensor networks; QPSO algorithm; QoS multicast routing; WSN; avoiding local convergence; data transmission; energy constraint bottleneck; prolong network lifetime efficiently; quantum bit principle superposition; quantum gates; quantum particle swarm optimization algorithm; reduce energy consumption; simulation research; wireless sensor networks; Differential equations; Energy consumption; Heuristic algorithms; Mobile communication; Multicast algorithms; Particle swarm optimization; Quality of service; Quantum computing; Routing; Wireless sensor networks; QoS multicast routing; energy; quantum particle swarm optimization algorithm; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.364
Filename :
5369084
Link To Document :
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