基于局部信息的无线传感器网络覆盖问题与粗糙集理论

项目名称： 基于局部信息的无线传感器网络覆盖问题与粗糙集理论

项目编号： No.61472469

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 恽自求

作者单位： 苏州大学

项目金额： 58万元

中文摘要： 本项目是一个跨计算机网络研究，数据挖掘，一般拓扑的综合性项目。本项目主要研究无线传感器网络布局中一些具有实际应用意义的未解决问题，例如与实际布局有关的最优覆盖问题与n 完全覆盖度判别等问题，这些问题的特点是利用传感器局部信息来进行整个网络布局设计或者对整个网络覆盖情况进行鉴别。我们以此为驱动，对涉及的拓扑映射理论、粗糙集理论等基础学科理论本身也进行深入研究。同时，寻找项目组在传感器网络布局问题研究中取得的结果在物联网可靠性研究、物联网系统优化机理研究等实际问题中的应用。本项目的研究不但对无线传感器网络理论有较大的意义，也具有一定的应用价值，而且对相关数学与数据挖掘理论的发展与完善，极具积极意义。

中文关键词： 无线传感器网络；布局；覆盖；连通；粗糙集

英文摘要： This project is a cross research on computer networks, data mining and general topology.In this project, we mainly study some unsolved problems in wireless sensor network deployments with practical application significance, such as optimal patterns and complete n-coverage criterion in some practial deployments. The characteristics of these problems is to design the entire network deployment or to identify the coverage condition of whole network by using of local information of sensors. Motivated by these problems, we study the basic theory of topological mapping theory and the rough set theory themselvies in depth. We also search applications of the research results of these theories in wireless sensor network depolyment. At the same time, we try to apply the resulst obtained by the project team in the study of the problems of sensor network deployment to practical problems, such as reliability , optimization mechanism research of the Internet of things and so on.The research of this project not only has great significance to the theory of wireless sensor network and has a certain application value, but also has very positive significance to development and improvement of relevant theory of mathematics and data mining.

英文关键词： Wireless sensor network;deployment;coverage;connectivity;rough set