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作 者:贾海云[1] JIA Hai-yun(Hefei College of Finance&Economics,Hefei 230601,China)
出 处:《长春师范大学学报》2023年第12期40-44,共5页Journal of Changchun Normal University
基 金:安徽省高校自然科学研究重点项目“基于SOA的新一代智慧校园大数据平台设计与研究”(2022AH053037);安徽省高校自然科学研究重点项目“基于QoS约束的无线传感网络覆盖研究”(2023AH052570)。
摘 要:针对传统算法在求解空间内的收敛值缺乏普适性,而导致基于该收敛值制定的感知节点部署方案出现冗余覆盖、能耗浪费等一系列潜在的服务质量问题,本文以普适性为目标构思一个基于服务质量保障的感知网络覆盖算法。算法通过设计自适应搜索权重函数来缓解算法在求解空间内不断下降的搜索速度,以增强搜索值在局部空间内的普适性。同时引入目标适应度评估机制,筛选出陷入早熟的粒子并为其重置历史最优适应解,以确保搜索解的全局普适性。通过该覆盖算法搜索出由全局最优解制定的感知网络部署方案。经过测试表明,该方案具有良好的覆盖成效,尤其在复杂感知环境下,该算法能表现出差异化优势。Due to the lack of universality of the convergence value in the solution space of traditional algorithms,a series of potential quality of service issues such as redundant coverage,energy consumption waste,and so on occur in the deployment scheme of sensor nodes based on this convergence value.To address this issue,this paper proposes a perceptual network coverage algorithm based on quality of service assurance with the goal of universality.The algorithm alleviates the decreasing search speed in the solution space by designing an adaptive search weight function to enhance the universality of the search value in the local space.At the same time,a target fitness evaluation mechanism is introduced to screen out particles trapped in precocity and reset the historical optimal fitness solution for them to ensure the global universality of the search solution.The deployment plan of the perception network developed by searching for the global optimal solution through the coverage algorithm has been tested and shown to have good coverage effectiveness.Especially in complex perceptual environments,the more capable the algorithm is to exhibit differentiation advantages.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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