基于随机演化博弈的WSNs节点协作演化模型  

Evolutionary coordination model of WSNs nodes based on stochastic evolutionary game

作　　者：王丁[1] 曹奇英[1] 许洪云[2] 沈士根[3,4] 

机构地区：[1]东华大学计算机科学与技术学院,上海201620 [2]东华大学信息科学与技术学院,上海201620 [3]绍兴文理学院计算机科学与工程系,浙江绍兴312000 [4]嘉兴学院数理与信息工程学院,浙江嘉兴314001

出　　处：《智能计算机与应用》2016年第1期55-60,共6页Intelligent Computer and Applications

基　　金：国家自然科学基金(61272034)

摘　　要：为解决无线传感器网络节点协作策略的选择影响协作效果的问题,考虑到节点数量有限及个体随机性,基于模仿突变Wright-Fisher过程的随机演化博弈,提出了WSNs节点协作随机演化模型,并加入了与节点协作程度相关的惩罚机制。该模型弥补了复制子动态不适用于节点数量有限的WSNs节点协作演化建模问题。经过随机动力学分析,推导并证明了达到演化稳定状态的定理。最后通过实验验证定理并分析了选择强度和惩罚力度对WSNs节点协作演化稳定状态的影响。To solve the problem of coordination decisions among WSNs nodes which affects the cooperation between nodes,considering limited numbers of nodes and individual stochastic effect,this paper constructs a stochastic evolutionary trust model of WSNs nodes based on imitated mutation Wright-Fisher process,and introduces a punishment mechanism related to the coordination level of nodes.The model compensated for the shortcoming of replicator dynamics where it was inapplicable to the WSNs having limited numbers of nodes. Theorems of arriving at the evolutionary stable state,through stochastic dynamics analysis,are deduced and proved. Experiments verify the conclusions and analyze the impacts of punishment levels and selection intensities toward the WSNs nodes coordination evolutionary stable state.

关 键 词：无线传感器网络 协作 Wright-Fisher过程 随机演化博弈 模仿突变 

分 类 号：I393[文学—其他各国文学]