基于量子态相干分析的WMSN云执行信息分簇约简  

Cluster Reduction of WMSN Cloud Implementation Information Based on Quantum Coherence Analysis

作　　者：姚远耀 

机构地区：[1]江西经济管理干部学院信息工程系,南昌330088

出　　处：《科技通报》2014年第12期169-171,共3页Bulletin of Science and Technology

摘　　要：无线多媒体传感网络(WMSN)云执行信息数据量大,实时性要求较高,需要对云执行信息进行分簇约简,提高WMSN的纠错能力和延长网络生命期。提出一种基于量子态相干分析的WMSN云执行信息分簇约简算法,基于量子遗传算法的WMSN网络模型,得到网络中多媒体节点的最大部署密度,采用量子态相干分析算法,进行信息数据寻优,设计WMSN云执行信息分簇策略,得到量子群移动构造的信息素约简后的空间采样分簇重构。实验得出,采用该算法,WMSN中的执行信息得到有效合理规划,分簇空间实现降秩处理,任务执行路径实现最优化模拟生成,执行同步误差较传统方法较小,从而保证了WMSN的系统稳定性和可靠性。Wireless multimedia sensor networks （WMSN） has a large amount of cloud information, it needs high real-timerequirements, the implementation of information of cloud cluster reduction is called, and the error correcting capability ofWMSN and prolong the network lifetime should be improved. A coherent analysis based on the quantum states of the WM-SN cloud executive information clustering algorithm is proposed, WMSN network model based on quantum genetic algo-rithm the maximum multimedia nodes in the network deployment density is obtained, the quantum coherence analysis algo-rithm is realized, data optimization is obtained, we design WMSN cloud executive information clustering strategy, and getquantum group moving structure of pheromone after the reduction of the spatial sampling cluster reconstruction. Experi-ments show that, the implementation of WMSN information effectively and reasonably planning is nice, cluster space re-duced rank processing is realized, the simulation task execution path is optimized, perform the synchronization error is lessthan the conventional method, so as to guarantee the system stability and reliability of WMSN.

关 键 词：量子态 相干分析 WMSN 约简算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]