摘要
针对物联网监测系统面临的高效监测质量与居高不下的监测成本的矛盾问题,提出综合考虑物联网规模、成本、综合代表性以及均衡度目标的节点选择与布局方案,构建了混合整数非线性多目标规划模型,通过遗传算法求得了节点的数量和布局方案,并且对节点的选择进行了评价。仿真结果表明,所建立的模型及其求解方法有助于缓解监测质量与成本之间的矛盾,对监测系统设计与物联网研究具有理论意义。
To solve the conflict between higher monitoring quality and lower costs of applying Internet of Things （IoT） monitoring system, a mixed integer nowlinear programming model is built up. Various key factors, such as network scale, cost, representation level, and deployment of nodes for balance degree of IoT, is taken into consideration in this programming model comprehensively. Furthermore, the quantity and deploymeut solutions are solved through the genetic algorithm, also the selection of nodes is evaluated. Simulalion results show that it is conducive to solve the quality-cost conflict to some extent. It is also of theoretical significance for the IoT research and design of monitoring system.
出处
《计算机工程与科学》
CSCD
北大核心
2014年第7期1255-1261,共7页
Computer Engineering & Science
基金
国家自然科学基金资助项目(71171129)
上海市科委科研计划资助项目(12510501600
14DZ2280200)
上海市教委科研计划资助项目(11YZ137
11CXY47)
关键词
物联网
监测系统
传感器布局
均衡度
多目标优化
Internet of things（IoT）
monitoring system
deployment of sensors
balance degree
multi-objective optimization
