MRI: Acquisition of Equipment to Develop an Energy Efficient and Reliable Wireless Sensor Network for Urban Landscape Irrigation Management System

提案号：CNS 09-22888PI(s): Sun, Bo Makki, Kami；机构：拉马尔大学博蒙特博蒙特，德克萨斯州77705-5748标题：MRI/Acq。: Acq。项目建议：本项目为城市景观灌溉管理系统（ULIMS）设计和实现一个节能可靠的无线传感器网络（WSN），旨在通过将WSN、数据管理、系统集成和基于web的交付相结合，显著节约成本，缓解城市水资源短缺问题。构建的WSN将包括一个具有远程控制能力的长寿命、实时可靠的网络。基于工程师便携式、可提供感测数据的低能量传感器节点，所产生的系统（W-ULIMS）解决了在室外恶劣环境中部署的WSN所面临的基本限制，包括能量供应、有限的内存、需要长时间无人值守的操作以及WSN通信的有损和瞬态行为。该项目提出了以下活动：-随机调度与连接保证，-极低的占空比数据转发，和-远程控制（使用涓流的想法）。所研究的具有连通性保证的随机调度和极低占空比的数据转发协议有望以一种节能的方式收集传感器数据。该试验台为研究恶劣环境下无线传感器网络的实际估计、数据收集和传播以及节能问题提供了基础设施。更广泛的影响：该项目将新技术应用于传统农业环境和其他应用，同时推进wsn的复杂行为。它应有助于缓解许多城市面临的严重缺水问题，办法是通过有效利用农业劳动力和及时通知需要作出管理决定的情况来节省费用。此外，它建立了一个环境，拓宽学生的视野。知识和研究经验。

Proposal #: CNS 09-22888PI(s): Sun, Bo Makki, Kami; Osborne, Lawrence J.Institution: Lamar University Beaumont Beaumont, TX 77705-5748Title: MRI/Acq.: Acq. of Equipment to Develop an Energy Efficient and Reliaable Wireless Sensor Network for Urban Landscape Irrigation Management System Project Proposed:This project, designing and implementing an energy efficient and reliable Wireless Sensor Network (WSN) for Urban Landscape Management System (ULIMS), aims to provide significant cost-savings and alleviate urban water shortage problem by combining WSNs, data management, system integration, and web-based delivery. The constructed WSN will consist of a long-lived, real-time reliable network with remote control capability. Based on engineer portable, low-energy sensor nodes that can provide sensed data, the resulting system (W-ULIMS) addresses fundamental constraints faced by WSNs deployed in outdoor harsh environments, including energy supply, limited memory, the need for unattended operation for a long period of time, and the lossy and transient behavior of WSN communication. The project presents the following activities:- Randomized scheduling with a connectivity guarantee,- Extremely low duty-cycle data forwarding, and- Remote control (using the idea of Trickle).The randomized scheduling with connectivity guarantee and extremely low-duty cycle data forwarding protocols under study are expected to collect sensor data in an energy efficient manner. The testbed provides an infrastructure to study practical estimation, data collection and dissemination, and energy conservation faced by WSNs in harsh environments.Broader Impacts: This project applies new technologies to traditional agricultural environments and other applications while advancing the complex behaviors of WSNs. It should contribute to alleviate the significant water shortage problem facing many cities by providing cost-savings through efficient usage of agricultural labor and timely notification of situations requiring managerial decisions. Furthermore, it establishes an environment to broaden student?s knowledge and research experience.