ITR: Energy and Quality of Service Aware Ad-Hoc Networking

研究人员提出了一种综合的方法，在ad-hoc无线网络中进行节能协作通信。跨学科的方法将同时解决系统设计的所有关键层次：数据链路层电源管理，网络层能源，位置和基于服务质量的路由，以及应用层接口。 目标是降低通信功耗，同时提高协作者之间的通信质量。该模型的问题假设，人们通过自组织网络集成到口袋电脑的一些共同的任务进行交互。为了使通信成功，所有参与者都必须通过网络可达，并且有足够的能量来执行任何必要的计算。问题的核心是实体之间的通信的分布式调度，以减少通信和计算能量。参与者必须估计其他参与者可用的剩余能量以及通信拓扑模型。必须决定是通过相邻节点路由流量（减少直接功耗，同时可能增加延迟或全局能耗）还是增加发射机功率（可能到达更广泛的参与者）。这一目标将通过在以下研究领域制定设计方法来实现： 链路层控制器，其在延迟和误差界限的约束内自适应地学习用于纠错码、传输功率电平和无线电活动时间的低功率策略，以降低总体功耗。 网络层控制器，使用节点间衰减、可用节点能量和当前流量来优化路由，从而最大化所有节点的可用性。 允许程序员描述消息传递约束的网络接口，以便通信调度可以减少不断变化的路由拓扑中的能量。 系统级功耗建模，允许应用层交换额外的处理器功耗以降低网络功耗。 该项目的目标是新兴的一系列高性能的袖珍或可穿戴计算机以及由这些计算机形成的特设网络。研究人员将部署实验基础设施，并使用深入的模拟模型来评估我们的系统。原型系统将使用使用802.11无线网络的膝上型计算机和具有较低带宽（和显著较低功率）接口的先进“Itsy”掌上型计算机的组合。仿真模型将使用先进的袖珍计算机与标准的网络模拟器，我们已经增强了更现实的RF传播模型的现实的全系统功率模型。 这个项目是重要的，因为它解决了一个通信模型，这将是共同的未来一代计算和通信设备。它是现实的，因为它将使用一个实验性的网络。它是通用的，因为我们将能够使用仿真框架来模拟未来的计算和通信网络。最后，它是可以实现的，因为它利用了正在进行的工作，在优化无线网络中的信道分配和节能计算。

The researchers propose an integrated approach to energy efficient collaborative communication in ad-hoc wireless networks. The interdisciplinary approach will address simultaneously all key levels of system design: data link layer power management, network layer energy, location, and quality of service-based routing, and application layer interfaces. The objective is to reduce communication power consumption while simultaneously increasing the communication quality between the collaborators. The model problem assumes that people are interacting via ad-hoc networking integrated into pocket computers for some common task. For the communication to be successfull, all participants must be reachable via the network and have sufficient energy to perform any necessary computation. At the heart of the problem is the distributed scheduling of communication between entities to reduce communication and computation energy. Participants must have an estimate of the remaining energy available by other participants as well as models of the communication topology. Decisions must be made whether to route traffic through adjacent nodes (reducing direct power expenditure while possibly increasing latency or global energy consumption) or increasing transmitter power (potentially reaching a broader set of participants). This objective will be reached by developing design methodologies in the following research areas: Link-layer controllers that adaptively learn low-power strategies for error correction codes, transmission power levels, and radio activity times for reduced overall power consumption, within the constraints of delay and error bounds. Network-layer controllers that use inter-node attenuation, available node energy, and current traffic flows to optimize routing so as to maximize the availability of all nodes. Network interfaces that allow the programmer to describe delivery constraints on messages such that communication schedules can reduce energy in a changing routing topology. System level power modeling that allows the application layer to trade additional processor power to reduce networking power. The project is targeted to the emerging spectrum of highly capable pocket or wearable computers and the ad-hoc networks formed by those computers. The researchers will both deploy an experimental infrastructure and use in-depth simulation models to evaluate our system. The prototype system will use a combination of laptop computers using 802.11 wireless networking and the advanced "Itsy" palm-top computer with lower bandwidth (and significantly lower power) interfaces. The simulation models will use realistic whole-system power models for advanced pocket computers coupled with a standard network simulator that we have enhanced with more realistic RF propagation models. This project is significant because it address a communication model that will be common with future generation computation and communication devices. It is realistic because it will use an experimental network. It is general because we will be able to use the simulation framework to model future compute and communication networks. Finally, it is achievable because it leverages the on-going work in optimizing channel assignment in wireless networks and energy efficient computing.