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- 22888 PI（s）：Sun，Bo Makki，甲米; Osborne，Lawrence J.机构：Lamar University博蒙博蒙，TX 77705- 5748标题： MRI/采集：获取本项目旨在设计和实现一个用于城市景观灌溉管理系统（ULIMS）的节能和可靠的无线传感器网络（WSN），旨在通过结合WSN、数据管理、系统集成和基于Web的交付，提供显着的成本节约和缓解城市水资源短缺问题。构建的无线传感器网络将包括一个长期的，实时可靠的网络与远程控制能力。基于工程师便携式，低能耗的传感器节点，可以提供感测数据，由此产生的系统（W-ULIMS）解决了无线传感器网络部署在户外恶劣环境中所面临的基本约束，包括能源供应，有限的内存，需要无人值守操作很长一段时间，以及无线传感器网络通信的损耗和瞬态行为。该项目提出了以下活动：-具有连接保证的随机调度，-极低占空比数据转发，以及-远程控制（使用涓流的想法）。正在研究的具有连接保证的随机调度和极低占空比数据转发协议预计将以节能的方式收集传感器数据。该试验台提供了一个基础设施，研究实际的估计，数据收集和传播，以及能源节约所面临的WSNs在恶劣的environment.Broader影响：该项目将新技术应用到传统的农业环境和其他应用，同时推进WSNs的复杂行为。它应该有助于缓解许多城市面临的严重缺水问题，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。此外，它建立了一个环境，以扩大学生？的知识和研究经验。

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.