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

提案编号：CNS 09-22888PI(S)：Sun，Bo Makki，Kami；Osborne，Lawrence J.机构：拉马尔大学博蒙特·博蒙特，德克萨斯州77705-5748标题：核磁共振/访问：Acq.为城市景观灌溉管理系统开发能源高效和可靠的无线传感器网络项目建议：该项目旨在为城市景观管理系统(ULIMS)设计和实施一个能源高效和可靠的无线传感器网络(WSN)，旨在通过将无线传感器网络、数据管理、系统集成和基于网络的交付相结合，提供显著的成本节约和缓解城市缺水问题。构建的无线传感器网络将由一个具有远程控制能力的长期、实时、可靠的网络组成。基于工程师便携的低能量传感器节点可以提供传感数据，所产生的系统(W-ULIMS)解决了部署在室外恶劣环境中的无线传感器网络所面临的基本限制，包括能量供应、有限的内存、长时间无人值守的需要以及无线传感器网络通信的有损和瞬时行为。该项目提出了以下活动：-连通性保证的随机调度，-极低占空比的数据转发，以及-远程控制(使用涓滴的思想)。该试验台为研究无线传感器网络在恶劣环境中面临的实际评估、数据收集和传播以及节能提供了基础设施。广泛影响：该项目将新技术应用到传统农业环境和其他应用中，同时促进了无线传感器网络的复杂行为。它应该有助于通过有效利用农业劳动力和及时通知需要管理决策的情况来节省成本，从而缓解许多城市面临的严重缺水问题。此外，它还为拓宽学生S的知识和研究经验创造了环境。

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.