NeTS: Small: Power-Performance Tradeoffs for Mobile Devices in Next Generation WiFi Networks

NeTS：小型：下一代 WiFi 网络中移动设备的功耗与性能权衡

• 批准号: 1422304
• 负责人: Dimitrios Koutsonikolas
• 金额: $ 49.99万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1422304&HistoricalAwards=false
• 关键词: NeTS; Small; Power; Performance; Tradeoffs

With the tremendous growth in smartphones and other mobile devices, and the increasingly complex applications they run, the impact of the energy consumption is felt by every user. Smartphone batteries need to be charged too often or the devices are run in modes that limit their capabilities, to save energy. A major fraction of the energy consumption in smartphones comes from the WiFi radio. The next generation WiFi radios include a rich set of features offering increased bit rates, longer range, and more reliable coverage. However, these benefits often come at the cost of significantly higher power consumption. Consequently, smartphone manufacturers often restrict the features available to the users, thus trading performance for power savings. Also, the increasing demand for computational features such as multimedia in mobile devices has led to the use of complex computational hardware and peripherals for graphics and memory with higher contribution to the overall energy consumption. Hence, there is a need to develop a holistic approach to power analysis that considers both the communication and the computational paradigms, and novel protocols that efficiently utilize the battery power without compromising performance, which this projects aims to achieve. This work can have a lasting impact on better energy utilization in the mobile environment.This project seeks to develop models that capture the power-performance tradeoffs in WiFi-capable mobile devices and the impact of different features of the next generation WiFi standards on these tradeoffs. The models are to be developed based on extensive measurement studies using different mobile devices in a variety of scenarios. Further, it seeks to build realistic power models that consider diverse components of the system and their interactions, beyond just the CPU, as well as models for power-performance tradeoffs at the system level. Power analysis of the computational elements and peripherals will be developed, with considerations to varying factors that affect the power consumption, such as the applications, environment, and usage profile, through power modeling and measurements. The results will then be integrated with the WiFi models resulting in a holistic power model and profile. The developed models will guide the design of novel power management, rate adaptation, and WLAN management protocols that will allow mobile devices to realize more of their potential, while minimizing the power consumption and the impact to other WLAN clients. The project will bring increased awareness of energy consumption issues in modern mobile devices through outreach activities.

随着智能手机和其他移动的设备的巨大增长，以及它们运行的日益复杂的应用程序，每个用户都感受到了能源消耗的影响。智能手机电池需要经常充电，或者设备在限制其功能的模式下运行，以节省能源。智能手机的大部分能源消耗来自WiFi无线电。下一代WiFi无线电包括一组丰富的功能，提供更高的比特率，更长的范围和更可靠的覆盖范围。然而，这些好处往往是以显著更高的功耗为代价的。因此，智能手机制造商通常限制用户可用的功能，从而以性能换取节能。此外，对移动的设备中的诸如多媒体的计算特征的日益增长的需求已经导致了复杂的计算硬件和外围设备用于图形和存储器，其对总体能耗具有更高的贡献。因此，有必要开发一种整体的方法来进行功率分析，同时考虑通信和计算范式，以及有效利用电池功率而不影响性能的新协议，这是该项目的目标。这项工作可以有一个持久的影响，更好的能源利用在移动的environment.This项目的目的是开发模型，捕捉功率性能的权衡在WiFi功能的移动的设备和这些权衡的影响下一代WiFi标准的不同功能。这些模型将在广泛的测量研究的基础上开发，在各种情况下使用不同的移动的设备。此外，它试图建立现实的功耗模型，考虑系统的不同组件及其相互作用，而不仅仅是CPU，以及系统级的功耗-性能权衡模型。将开发计算元件和外围设备的功耗分析，并通过功耗建模和测量考虑影响功耗的各种因素，例如应用程序、环境和使用情况。然后将结果与WiFi模型集成，从而产生整体功率模型和配置文件。开发的模型将指导设计新的电源管理，速率自适应和WLAN管理协议，使移动的设备实现更多的潜力，同时最大限度地减少功耗和对其他WLAN客户端的影响。该项目将通过外联活动提高对现代移动的设备能耗问题的认识。