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

研究人员提出了一种在自组织无线网络中实现节能协作通信的集成方法。跨学科的方法将同时解决系统设计的所有关键层面：数据链路层电源管理、网络层能源、位置、基于服务的路由和应用层接口的质量。目标是减少通信功耗，同时提高协作者之间的通信质量。模型问题假设人们通过集成到袖珍计算机中的自组织网络进行交互，以完成一些共同的任务。为了使通信成功，所有参与者必须通过网络可达，并且有足够的能量来执行任何必要的计算。该问题的核心是实体之间通信的分布式调度，以减少通信和计算能量。参与者必须对其他参与者可用的剩余能量以及通信拓扑模型有一个估计。必须决定是通过相邻节点路由流量（减少直接功率消耗，同时可能增加延迟或全局能耗）还是增加发送器功率（可能到达更广泛的参与者集合）。这一目标将通过开发以下研究领域的设计方法来实现：在延迟和错误界限的限制下，自适应学习纠错码、传输功率水平和无线电活动时间的低功耗策略以降低总体功耗的链路层控制器。网络层控制器，利用节点间衰减、可用节点能量和当前流量对路由进行优化，使所有节点的可用性最大化。允许程序员描述消息的传递约束的网络接口，这样通信调度可以在不断变化的路由拓扑中减少能量。系统级功率建模，允许应用层交换额外的处理器功率以降低网络功耗。该项目针对的是新兴的高性能口袋或可穿戴计算机以及由这些计算机组成的自组织网络。研究人员将部署实验基础设施，并使用深入的仿真模型来评估我们的系统。原型系统将使用使用802.11无线网络的笔记本电脑和具有更低带宽（和显著更低功耗）接口的先进“Itsy”掌上电脑的组合。仿真模型将使用先进袖珍计算机的真实全系统功率模型，再加上标准网络模拟器，我们已经用更真实的射频传播模型进行了增强。这个项目意义重大，因为它解决了未来一代计算和通信设备通用的通信模型。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，因为它利用了无线网络中正在进行的优化信道分配和节能计算的工作。

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.