SGER: Optimization Problems in Next Generation Networks

Cyber-Infrastructure项目的目标之一是使人们能够有效地进行远程数据收集和远程科学实验。这就需要具有移动的连接性和灵活部署的高速通信网络。光核心网之上的无线接入网是实现这一目标的重要理想架构。实际上，核心光网络提供了高带宽的高效高速通信，接入无线网络提供了部署灵活的移动的通信。光纤骨干网与无线技术相结合的优势，在下一代通信网络的研究中得到了越来越多的关注。其中一个重要的问题是资源的优化管理。企业和个人对关键业务和实时业务的需求日益增长，使得计算机通信网络发展非常迅速。今天有大量的网络资源，也有大量的流量。因此，网络资源的有效利用成为一个非常重要的任务，它对网络的生存性、能量效率和服务质量（QoS）都有影响。我们提出了一个综合的研究项目，研究各种优化问题：（a）弹性方案，包括保护和恢复方案，为了使光波分复用（WDM）网络在有效利用网络资源和较少服务中断的情况下从故障中存活下来，（B）用于无线传感器网络的传感器的活动/睡眠调度，以实现更长的寿命或能量效率，以及（c）两层之间的折衷，以实现多层优化。

One of goals in Cyber-Infrastructure project is for people to have abilityof doing remote data gathering and remote scientific experiments efficiently. This demands high-speed communication networks with mobile connectivity and flexible deployment. The wireless access network on top of the optical core network is an important ideal architecture for such a target. Indeed, the optical network in core provides the efficient high-speed communication with high bandwidth and the wireless network in access provides mobile communication with flexible deployment. The advantage of fiber-optical backbone networkcombined with wireless technology has gained more and more interests in the study of the next generation communication networks. One of important issues is the optimal resource management. The increasing need of mission-critical traffic and real-time traffic from businesses and individuals has made the computer communication network grow very rapidly. Today there are a large amount of network resources and also a large amount of traffic. Therefore, efficient utilization of network resources becomes a very important task, which has impact in survivability, energy efficiency, and quality of service (QoS).We propose an integrated research project that studies various optimization problems on (a) resilience schemes, including protection and restoration schemes, for optical wavelength division multiplexing (WDM) networks to survive from failures with efficient utilization of network resource and less service disruption, (b) sensors' active/sleep schedules for the wireless sensor networks to achieve longer lifetime or energy efficiency, and (c) tradeoff between two layers to achieve multi-layer optimization.