Reducing signal processing energy consumption in solar/battery powered ubiquitous networks: Joint optimization of communication algorithms/circuits, and software design/testing

减少太阳能/电池供电的普适网络中的信号处理能耗：通信算法/电路和软件设计/测试的联合优化

• 批准号: 356650-2007
• 负责人: Khandani, AmirKeyvan
• 金额: $ 7.01万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects Supplemental Competition
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=366588
• 关键词: Reducing; signal; processing; energy; consumption

Wireless networks are constantly evolving to support higher data rates and wider coverage at a lower cost. Thisin turn requires extensive signal processing which is severely affected by the existing limitations on "batterylife". Meanwhile, the battery technology is advancing, however, at a much slower rate as compared to theprojected needs. This makes the battery life the primary bottleneck in the cost effective realization of manyfuture wireless networks. The projected needs over the next decade are far beyond the reach of the currenttechnology and breakthroughs are needed to realize these urgent requirements. Traditionally, the problem ofbattery life has been an issue in the resource limited mobile units, however, there are many emerging scenariosin which the wireless access points also rely on batteries charged using solar cells. Access to suchsolar-powered wireless infrastructure is particularly important in a vast country like Canada with lowpopulation density and limited communication infrastructures. Such solar-powered wireless networks willmake it possible to provide affordable communication to many distant areas which would be impossibleotherwise due to the excessive cost in powering the remote wireless nodes using electrical wiring. Anotherexample of large impact is wild life monitoring in the Northern Canada which have very low populationdensity, and large-scale infrastructure surveillance in oil patch in Alberta. The proposed research willinvestigate several novel directions to increase the power efficiency of wireless systems, for both handheldunits and the backbone network. This includes novel methods in the application of software engineering to theproblem of "minimizing power consumption". In addition, most of the programs running on wireless nodesusually rely on input data that arrive with a random delay due to the nature of the underlying wireless network.The research investigates the statistical behavior of such delays towards providing: (i) design rules foroptimized performance, and (ii) testing techniques to evaluate the performance under various network loadsand transmission reliability.

无线网络正在不断发展，以更低的成本支持更高的数据速率和更广的覆盖范围。这反过来又需要大量的信号处理，这受到现有的“电池寿命”限制的严重影响。与此同时，电池技术的发展速度与预期需求相比要慢得多。这使得电池寿命成为未来无线网络实现成本效益的主要瓶颈。未来十年的预测需求远远超出了当前技术的范围，需要突破来实现这些紧迫的需求。传统上，电池寿命的问题一直是资源有限的移动的单元中的问题，然而，存在许多新兴的无线接入点也依赖于使用太阳能电池充电的电池的问题。在加拿大这样一个人口密度低、通信基础设施有限的大国，使用这种太阳能无线基础设施尤为重要。这种太阳能供电的无线网络将使人们有可能提供负担得起的通信到许多遥远的地区，这将是不可能的，否则由于过高的成本，在电力远程无线节点使用电线。另一个影响较大的例子是在人口密度很低的加拿大北方进行的野生生物监测，以及在阿尔伯塔的油田进行的大规模基础设施监测。拟议的研究将探讨几个新的方向，以提高无线系统的功率效率，为手持设备和骨干网络。这包括软件工程应用于“最小化功耗”问题的新方法。此外，大多数的程序运行在无线nodesusually依赖于输入数据，到达一个随机的延迟，由于底层的无线网络的性质，本研究调查的统计行为，这样的延迟提供：（i）设计规则优化性能，和（ii）测试技术，以评估各种网络负载和传输可靠性下的性能。