Energy Efficient Wireless Communication Networking

随着人们对宽带多媒体无线通信和信息服务的需求日益增加，无线通信网络的能耗问题已经成为人们关注的主要问题。大多数现有的节能技术不能应用于无线传感器网络，因为在无线传感器网络中，传感器的功率和功能有限，数据流量负载非常低，并且没有(或低)移动性。因此，在全球范围内发起了许多研发活动，以开发节能(绿色)的无线通信和网络技术。该研究计划旨在研究宽带多媒体移动通信中能源效率和通信服务质量之间的基本权衡，并开发新的网络解决方案，以更好地在能源效率和服务质量之间达成妥协。我们将重点关注三个方面：1)根据网络动态进行自适应链路控制，使移动终端能够在活动模式和休眠模式之间切换；2)端到端信息传递，使能效高的数据流路由最大限度地减少能量消耗，最大化网络寿命；3)网络协作，允许在业务负载较轻的时候关闭部分基站，并极大地扩大每个活动基站的服务覆盖范围，以确保持续的服务质量。不同的服务质量要求、多媒体通信中的数据流量动态以及随机用户移动性构成了在不影响服务质量的情况下提高能源效率的重大技术挑战。预计研究成果将产生深远的技术和科学影响，为开发更灵活、更实用的节能无线网络算法和协议提供深入的理解和指导，并帮助加拿大建立和加强其在绿色无线网络领域的领导地位。该计划将培养一大批高素质的人才，为他们提供在分布式能源效率资源分配和网络控制方面的宝贵见解和经验，并使他们成为加拿大高科技行业劳动力的专家补充。

With increasing demand for broadband multimedia wireless communication and information services, energy consumption in wireless communication networks has become a major concern. Most existing energy efficient techniques cannot be applied as they are limited for wireless sensor networks, where the sensors have limited power and functionalities with very low data traffic load and no (or low) mobility. As a result, many R&D initiatives have been launched worldwide to develop energy efficient (green) wireless communications and networking technologies. The proposed research program aims to study fundamental tradeoffs between energy efficiency and communication service quality for broadband multimedia mobile communications, and to develop new networking solutions for better compromise between energy efficiency and service quality. In particular, we will focus on three thrusts: 1) adaptive link control according to network dynamics, enabling mobile terminals to alternate between active and sleeping modes, 2) end-to-end information delivery, enabling energy efficient data traffic routing to minimize energy consumption and maximize network lifetime, and 3) network cooperation, which will allow some base stations to be turned off when and where traffic loads are light, and greatly expand the service coverage area of each active base station to ensure continuous service quality. Diverse quality-of-service requirements, data traffic dynamics in multimedia communications, and random user mobility pose significant technical challenges to improve energy efficiency without compromising service quality. The research outcomes are expected to have a profound technological and scientific impact, in providing in-depth understanding and guidelines for developing more flexible and practical energy efficient wireless networking algorithms and protocols, and in helping Canada to establish and reinforce its leadership in green wireless networking. This program will train a large pool of highly qualified personnel, providing them with valuable insights and experiences in distributed energy efficient resource allocation and network control, and enabling them to emerge as expert additions to the Canadian high technology industry labor force.