传感器节点三维覆盖与部署优化研究

项目名称： 传感器节点三维覆盖与部署优化研究

项目编号： No.61303001

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 曹斌

作者单位： 河北工业大学

项目金额： 23万元

中文摘要： 本项目以研究传感器节点（包括多媒体传感器节点）的三维覆盖与部署优化为主要目标，提出传感器节点的三维全向、有向覆盖模型，探讨三维确定性覆盖与模糊覆盖，提出多种三维部署算法。本项目受人群协作搜索的生物现象启发，提出基于人群协作搜索的三维部署算法。传统的传感器网络覆盖模型是建立在概率测度上的，但实际的传感器节点由于受到环境变化或其他因素影响，检测半径会发生变化，为解决这一问题，本项目探索使用非概率测度描述传感器节点的三维覆盖，提出基于兰纳-琼斯势的模拟分子力, 提出多种生物启发式三维部署算法，并将多种部署算法进行比较，建立实验验证平台，通过制造不同的待探测区域进行对比实验, 力争取得具有创新性及突破性的研究成果，为工业应用奠定坚实基础。

中文关键词： 无线传感器网络；粒子群；大规模；优化；物联网

英文摘要： The main goal of this project is to study three-dimensional coverage and deployment optimization of sensor nodes (including multimedia sensor nodes). The project will set up three-dimensional omni-directional and three-dimensional directional coverage models of sensor nodes, discuss three-dimensional certainty coverage and fuzzy coverage, and present a variety of three-dimensional deployment algorithms. Inspired by the biological phenomenon of crowd collaborative search, the project brings up three-dimensional deployment algorithm based on crowd collaborative search. Many traditional sensor network coverage models are based on probability measure. However, the detection radius of the practical sensor node is usually changing because of the influence of the environment change and many other factors. In order to solve this problem, this project tries to use the non-probability measure to describe the sensor node three-dimensional coverage, and proposes the Lenard Jones potential based simulation molecular force. This project also presents several biological inspired deployment algorithms, compares those deployment algorithms and conducts comparative tests by making different detection areas. This project establishes experimental verification platform, and strives for innovative and groundbreaking research results

英文关键词： wireless sensor networks；particle swarm；large-scale；optimization；Internet of Things