NeTS-NOSS: Collaborative Research: Energy-Efficient Distributed Sensor Network Control: Theory to Implementation

NetS-NOSS：协作研究：节能分布式传感器网络控制：理论到实现

• 批准号: 0721477
• 负责人: Xiaojun Lin
• 金额: $ 18.23万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721477&HistoricalAwards=false
• 关键词: NeTS; NOSS; Collaborative; Research; Energy

Energy-management is essential for wireless sensor networks to prolong network lifetime and to increase the amount of useful information conveyed. There is potential to substantially improve the energy efficiency of sensor networks by exploiting cross-layer interactions among various networking layers and functionalities. However, such a cross-layer solution could also become impractically complex and difficult to implement. To address this challenge, this collaborative NSF-funded project at The Ohio State University and Purdue University aims to develop a suite of high-performance cross-layer mechanisms for sensor networks that are simple, modular, distributed, and provably energy-efficient. The key distinguishing feature of the project is that the mechanisms developed are based on a solid theoretical foundation that rigorously manages both performance and complexity with the goal of practical implementation. The PIs will investigate four major functionalities that are crucial to the efficient operation of energy-constrained wireless sensor networks, including joint medium-access and routing, sleep/wake scheduling, in-network aggregation/computation, and reliable broadcast. The theoretical solutions developed in this project will be implemented and evaluated on two testbeds: the existing Kansei testbed at OSU, and a prototype deployment (SENSE@OSU).Broader impact: The collaborative research will have a significant impact on wireless industry sectors, and will lead to breakthroughs in our understanding of the fundamental limits for developing energy-efficient distributed solutions for sensor networks. The PIs will also continue their current efforts to recruit and train women and under-represented minority groups both at the undergraduate and graduate levels.

能源管理对于无线传感器网络延长网络寿命并增加了传达的有用信息至关重要。 通过利用各种网络层和功能之间的跨层相互作用，有可能实质上提高传感器网络的能效。但是，这种跨层解决方案也可能变得不切实际且难以实施。 为了应对这一挑战，俄亥俄州立大学和普渡大学的合作NSF资助的项目旨在开发一套高性能的跨层机制，用于简单，模块化，分布式，可证明且能节能的传感器网络。 该项目的主要区别特征是开发的机制是基于坚实的理论基础，该基础严格地管理性能和复杂性，以实施实施。 PI将研究四个主要功能，这些功能对于能源受限的无线传感器网络的有效运行至关重要，包括联合中等访问和路由，睡眠/唤醒调度，网络内部聚合/计算以及可靠的广播。该项目中开发的理论解决方案将在两个测试床上实施和评估：OSU现有的Kansei测试床和原型部署（Sense@OSU）。Boader的影响：协作研究将对无线行业领域产生重大影响，并将对我们对开发网络的基本限制的理解，从而对能够进行效率进行效率高效的效率进行突破，从而对其进行突破。 PI还将继续他们目前在本科和研究生级别招募和培训妇女和代表性不足的少数群体的努力。