项目名称: 面向事件检测的感知数据处理方法研究
项目编号: No.61502421
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 李英龙
作者单位: 浙江工业大学
项目金额: 20万元
中文摘要: 作为物联网感知层核心组成部分的无线传感器网络,可以看作为一个资源受限的分布式数据库系统,如何设计节能而可靠的感知数据处理方法,快速地从物联网大数据中获取用户需要的事件信息是一个挑战性工作。当前的感知数据处理技术大都基于不精确的原始感知数据,处理和传输这些原始感知数据需要大量的能耗、时间和内存空间,且难以适用于复杂的网络环境,为解决这些关键问题,本项目拟提出一系列面向事件检测的感知数据表示、存储、传输、网内融合和隐私保护等新方法,包括实时的感知数据传输协议,面向事件检测的kNN和Skyline查询处理算法,以及复杂网络环境下的事件检测和隐私保护策略。总的研究目标是节能而快速地得到可靠的事件检测结果。我国正处于经济高速增长阶段,环境污染事件和安全生产等事故频发,本项目拟提出的新方法,对于减少灾害损失和提升智能化管理水平具有重要的经济和社会价值。如能得到资助,将对本项目有质的帮助。
中文关键词: 数据融合;复杂事件处理;查询优化;数据清洗;无线传感器网络
英文摘要: Wireless sensor network, as the main sensing layer of Internet of Things, can be seen as a resource-constrained distributed database system, and a significant challenge is to develop reliable and energy-efficient data processing methods to extract useful event information from the distributed sensory data as soon as possible. Most of the existing sensor data processing approaches rely on using raw sensory data, while processing and transmission of these raw sensor data is costly in terms of energy, time and memory. Besides, these methods are difficult to apply in complex network environments. To this end, this research project proposes a series of event detection based sensor data processing methods, such as data presentation, storage, transmission, in-network fusion, and privacy preservation. The main content includes real-time sensor data forwarding protocol, event based kNN and Skyline query processing algorithms, event detection in complex network environments, and sensor data privacy protection approach. Our goal is to get reliable data processing results in an energy-efficient and fast-response way. Nowadays, our country is in the stage of rapid economic growth, environmental pollution and industrial accidents occurred frequently. The proposed methods in this research project have great economic and social value on reducing disaster losses and improving the intelligent management level. If this project would be funded, it brings qualitative help.
英文关键词: Data Fusion;Complex Event Processing;Query Optimization;Sensor Data Cleaning;Wireless Sensor Networks