CAREER: Pulsar: A Cross-Layer Approach to Energy Conservation in Mobile Ad Hoc Networks

职业：Pulsar：移动自组织网络中节能的跨层方法

• 批准号: 0347468
• 负责人: Robin Kravets
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0347468&HistoricalAwards=false
• 关键词: CAREER; Pulsar; Cross; Layer; Approach

One of the biggest challenges to supporting communication in ad hoc networks is the limited battery life of mobile nodes. Current approaches to energy conservation in ad hoc networks narrowly focus on optimizations at only one layer, and some only focus on a specific mechanism in that layer. By ignoring the impact within a layer and on other layers, many approaches become ineffective and may even increase energy consumption. This research integrates optimizations across layers in the innovative Pulsar framework, resulting in network-wide energy-efficient communication. At the node layer, power control (i.e., dynamically changing transmission power levels) reduces the energy consumption for data transmissions. Additionally, power management (i.e., placing the device in a low-power sleep mode) reduces the energy consumed unnecessarily during idle periods in communication. At the routing layer, energy consumption is reduced by finding minimum energy routes, maximizing the number of nodes in low-power mode and reducing the overhead of the routing protocol. At the global layer, Pulsar uses topology control to reduce transmission energy consumption and alleviate contention in the network. Each of these techniques can save a significant amount of energy for an individual node, but given the cooperative nature of communication in ad hoc networks, energy conservation at one node may impact the entire network. Pulsar captures the relationships between layers and provides energy-efficient communication using intelligent MAC and routing protocols and distributed algorithms to manage high-level network goals. Further, this research is bringing novel wireless networking projects into the undergraduate and graduate curriculum.

支持自组织网络通信的最大挑战之一是移动节点有限的电池寿命。目前在自组织网络中节能的方法只狭隘地关注于一层的优化，有些只关注该层中的特定机制。由于忽略了层内和对其他层的影响，许多方法变得无效，甚至可能增加能源消耗。这项研究在创新的脉冲星框架中集成了跨层的优化，从而实现了整个网络的节能通信。在节点层，功率控制（即动态改变传输功率水平）降低了数据传输的能耗。此外，电源管理（即将设备置于低功耗睡眠模式）减少了通信空闲期间不必要的能量消耗。在路由层，通过寻找能量最小的路由、最大化低功耗模式下的节点数量和减少路由协议的开销来降低能耗。在全局层，脉冲星通过拓扑控制来降低传输能耗，缓解网络中的争用。这些技术中的每一种都可以为单个节点节省大量的能量，但是考虑到自组织网络中通信的协作性质，一个节点的能量节约可能会影响整个网络。Pulsar捕获层之间的关系，并使用智能MAC和路由协议以及分布式算法提供节能通信，以管理高级网络目标。此外，这项研究将新颖的无线网络项目引入到本科和研究生课程中。