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