Collaborative Research: SENSORS: Energy Efficient Communication in Sensor Networks

合作研究：传感器：传感器网络中的节能通信

• 批准号: 0329794
• 负责人: Lixin Gao
• 金额: --
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0329794&HistoricalAwards=false
• 关键词: Collaborative; Research; SENSORS; Energy; Efficient

ABSTRACT0329794Lixin GaoJie WuU of Massachusetts AmherstSpurred by the fast increasing capabilities and declining costs of computing and communication devices, it becomes increasingly viable to embed sensors in physical devices and link these sensors through wireless networks. These sensor networks can be deployed for a wide range of applications that can improve quality of life, and even save lives. These applications include healthcare (e.g., health monitoring and coordination among doctors and nurses), aircraft flight control, weather forecasting, home appliance control, and protection against bioterrorism. One of the key challenges in the deployment of sensor networks is how to prolong the lifetime of the networks. Sensor networks will stress power sources because of the their need for long operating lifetimes and high energy density. Therefore, energy efficiency is critical for the wide deployment of sensor networks. The investigators study energy management techniques for sensor networks. The key idea is to take advantage of the physical layer design that facilitates the combining of partial information. A node can receive several partial signals and combine these signals to retrieve the complete signal. This is referred to as hitchhiking. Hitchhiking can potentially conserve energy for transmitting data in sensor networks. By the effective use of partial signals, a packet can be delivered with less nodes and/or less transmission power at each node. The investigators will systematically study the energy management techniques for sensor networks as follows. First, the investigators will study the physical layer design of hitchhiking. Second, the investigators will study power control for broadcast networks and unicast networks. Third, the investigators will study power saving protocols to reduce the energy consumption for idle modes.

随着计算和通信设备性能的快速增长和成本的下降，将传感器嵌入到物理设备中并通过无线网络连接这些传感器变得越来越可行。这些传感器网络可以用于广泛的应用，可以提高生活质量，甚至挽救生命。这些应用包括医疗保健（例如，医生和护士之间的健康监测和协调）、飞机飞行控制、天气预报、家用电器控制和防止生物恐怖主义。传感器网络部署的关键挑战之一是如何延长网络的使用寿命。由于传感器网络需要长工作寿命和高能量密度，因此将对电源施加压力。因此，能源效率对于传感器网络的广泛部署至关重要。研究人员研究传感器网络的能量管理技术。其关键思想是利用有利于部分信息组合的物理层设计。一个节点可以接收多个部分信号，并将这些信号组合起来检索完整的信号。这被称为搭便车。搭便车可以潜在地为传感器网络中的数据传输节省能量。通过有效地利用部分信号，可以在每个节点上使用更少的节点和/或更少的传输功率来传送数据包。研究人员将系统地研究传感器网络的能量管理技术如下。首先，研究者将研究搭便车的物理层设计。其次，调查人员将研究广播网络和单播网络的功率控制。第三，研究人员将研究节能协议，以减少空闲模式的能耗。