面向复杂应用环境的传感网节点自适应定位方法研究

项目名称： 面向复杂应用环境的传感网节点自适应定位方法研究

项目编号： No.61201317

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 吴银锋

作者单位： 北京航空航天大学

项目金额： 27万元

中文摘要： 当被感知的信息需要有传感网节点的位置信息伴随时，节点自定位成为传感网应用的前提。由于定位过程中存在多种未确知因素及随机扰动，针对某一方面因素确立的描述环境影响及网络特征的定位数学模型常常无法正确给出网络节点自定位所需的关键参数,仅将影响因素的一方面现实化而其它方面理想化的模型有局限性。为解决这一问题，探索一种能够自适应的传感网节点自定位方法，研究建立一种自适应定位模型，能够判断应用环境的问题类别并给出优化的解决途径。在理论上将解决：传感网自定位系统中各种未确知因素的初始认知方法，在传感网络中对多种非理想网络状况进行辨识的方法，多源噪声自适应处理、参考信息可信评估及最优决策、全局约束最优化建模和求解的方法，节点定位能量策略以及自适应定位结果评估方法等。目标是获得实用性更强、精度与可信度更高的节点自适应定位方法。研究成果将进一步丰富传感网的节点自定位理论，有助于传感网的进一步实用化。

中文关键词： 无线传感器网络；定位；自适应；最优决策；

英文摘要： To make the perceived information meaningful, sensor nodes' positions are often required. As a key support technology, node self-localization is important for the application of wireless sensor networks (WSNs). Due to various unascertained and random factors in practice, the mathematical positioning model that describes the environmental impacts and network features usually fail to supply the essential parameters for node self-localization.It is limitation to deal only from one aspect. To solve this problem, we will explore a novel node self-localization method that can be applied to various complex conditions. The focus of our study is to construct a self-adapting localization model, aiming to judging the categories of application environments and providing a localization optimization solution. In theory research aspects, this project includes initial cognition of unascertained factors, identification of various non-ideal network conditions, adaptive process of multi-source errors, credibility assessment of reference information and optimal decision-making, global constraint optimization modeling and computing, node localization energy strategy, accuracy evaluation of self-adapting localization, etc. The research objective of this project is to seek a node self-adapting localization scheme with strong practicab

英文关键词： Wireless sensor networks；localization；Self-Adapting；Optimal Decision-Making；