首页> 外文会议>2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering amp; Science. >Research and Simulation of Node Localization in WSN Based on Quantum Particle Swarm Optimization
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Research and Simulation of Node Localization in WSN Based on Quantum Particle Swarm Optimization

机译:基于量子粒子群算法的无线传感器网络节点定位研究与仿真

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摘要

there're so many kinds of localization algorithms with a big localization error. And how to reduce this error is really a very important problem. This paper studies four distributed localization algorithms in WSN, and introduces a pretty popular optimization algorithm named quantum particle swarm optimization algorithm into it. In the end, this paper does some simulations with mat lab. And it proves that the QPSO algorithm works well in node localization algorithm.
机译:定位算法种类繁多,定位误差很大。如何减少此错误确实是一个非常重要的问题。本文研究了无线传感器网络中的四种分布式定位算法,并在其中引入了一种非常流行的优化算法,称为量子粒子群优化算法。最后,本文通过Mat Lab进行了一些仿真。并证明了QPSO算法在节点定位算法中工作良好。

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