【作者】 史斌彬；

【导师】 徐保国；

【作者基本信息】 江南大学 ， 检测技术与自动化装置， 2008， 硕士

【摘要】 作为新兴的无线传感器网络具有十分广阔的应用场景,包括军事、环境监测、目标追踪、科学观察和预报等领域。无线传感器网络中的节点部署问题,即通过一定的算法来布置无线传感器节点,优化现有的网络的资源,它决定着传感器节点监测物理空间的效果,进而影响传感器网络的服务质量。在实现各种网络协议和应用系统时,存在着一些现实约束,比如传感器节点体积微小,通常有能量十分有限的电池;但同时传感器节点个数多、分布区域广、部署区域环境复杂,通过充电或更换电池的方式来补充能源是不现实的,因此节能是无线传感器网络研究的重要目标。无线传感器网络的能量消耗直接决定了网络的使用寿命,通过有效配置传感器网络节点可以保证网络的有效覆盖性和连通性,也有利于节省节点的能量,延长网络的生命周期,更好更大地发挥网络的作用。论文选题源于课题组承担的国家科技部“863”研究计划项目,主要研究内容如下:介绍了无线传感器网络的网络体系结构,结合温室监控平台的实际项目提出了能量有效的一系列方案,另外,主要针对传感器网络以数据为中心的特点和温室的应用需求,提出了一套适用于温室监测系统的路由协议。在移动无线传感器网络中,要求节点通过自主部署使网络初始的随机配置变为满足一定覆盖性要求且位置和能量都均匀的一个分布,充分利用每个节点的能量来延长网络生命周期,更好更大地发挥网络的作用。本文针对移动网络,提出了一个基于虚拟力的引入概率移动机制的节点自部署算法,在保证网络覆盖性和连通性基础上,有效地改善了节点位置和能量的均衡性;实验表明新算法让能量的有效性得到进一步的提升,本文设计的算法比起已有的算法在网络能耗、位置和能量均匀度等多项指标上均表现出了更好的性能。更多还原

【Abstract】 Wireless Sensor Networks (WSNS) have become an emerging technology that has a wide range of potential applications including military surveillance, environment monitoring, object tracking, scientific observing and forecasting and etc. Deployment in WSNS focuses on how to deploy the sensor nodes efficiently for the purpose of optimism of network resources, which decides the efforts of detection and the Qos of WSNS. However, there are several practical constraints in implementing various protocols and application systems. Power is identified as one of the most expensive resources. Due to the large scale and the remote or hostile environment, it is impractical to recharging or replacing power supply. Since the lifetime of a WSN directly lies on consumption of the power, efficient deployment could enhance better coverage of region of interest and prolong the lifetime of network. Based on projects undertaken by our lab, this paper following as:The structure of WSNs is introduced, this paper propose several energy-efficent ways in greenhouse detection platform.Further more, this paper propose a special routine way targeted to data-centric and special needs in greenhouse detection platform.For mobile WSN, our goal is to make maximum possible utilization of the energy of each node to prolong the lifetime of the whole network, so we change the initial random placement into a better distribution with expected coverage and uniformity of both position and energy level by self-deploying. In this paper, we firstly propose a prop ability method combined with VFA to design a new energy-efficient placement algorithm, which gains better energy efficiency. The results of simulation experiments prove that our placement algorithms have better performance on energy consumption, uniformity of both position and energy level of network, compared to the previous.更多还原