【作者】 周嗣勇；

【导师】 杨维；

【作者基本信息】 北京交通大学 ， 通信与信息系统， 2007， 硕士

【摘要】 煤矿的自然环境复杂，存在多种安全隐患。近年来我国煤矿事故频繁发生，造成重大经济损失和人员伤亡，现有的煤矿安全监控系统已经无法满足安全生产的需要。无线传感器网络是集无线通信、数据采集和信息处理功能于一体的新型分布式自组织数据采集网络。将无线传感器网络应用于煤矿安全监测，将有效地提高煤矿安全生产监控和管理水平。在此背景下，本文对煤矿监控无线传感器网络通信协议及定位应用技术进行了研究。ZigBee技术是一种新兴的具有统一技术标准的短距离无线通信技术，非常适用于要求低成本、低功耗的无线传感器网络。但ZigBee自带路由协议效率低，无法满足煤矿安全监控无线传感器网络的监测需求。针对所提出的煤矿安全监控无线传感器网络的结构与具体监测需求，本文在AODV的基础上提出一种兼容于ZigBee的路由协议Cluster-Tree-AODV，仿真结果表明，协议既保持了AODV的优点，又提高了网络的可扩展性能，特别是在网络的节点数较多时，性能明显优于AODV，可很好地适用于煤矿监控无线传感器网络的监测需求。为了确定煤矿内各种被监测事件的发生地点，需要了解传感器网络的节点位置信息。针对煤矿井下的无线传输环境，本文利用无线信号强度来实现节点间自定位，提出了提高定位精度的改进方案，并分析了不同因素对定位精度的影响。仿真结果表明所提出的算法可以有效提高无线传感器节点的定位精度。更多还原

【Abstract】 The nature condition of coal mine is complicated that potential security risk exist. Recently in our country, coal mine disasters occur frequently and bring serious loss of treasures and lives, present coal mine security monitoring system is no longer satisfy the needs of coal mine safety production. Wireless sensor networks(WSN), which have integrated wireless communication, data collection and information processing capacities, are booming technologies for collecting information in distributed and self-organized manner. Applying sensor networks in coal mine security monitoring will upgrade the mine safety level and reduce the hidden accident significantly. With this research background, this thesis focus on the protocol and localization technology of wireless sensor networks.ZigBee is a new wireless communication technology with the feature of low cost and low power which is proper for WSN. In order to satisfy the demand of coal mine security monitoring, A new AODV based routing protocol Cluster-Tree-AODV was proposed, which was also compete with ZigBee. simulation results show that the new protocol kept the good features of AODV and perform better in lager scale networks.In WSN application, the information of node’s position is necessary. In this thesis, the localization algorithm based on the received signal strength indicator (RSSI) is proposed and optimized, consequently several factors which affect the localization precision is analyzed. Simulation results show that the optimized algorithm base on RSSI improve the localization precision effectively.更多还原