A Software-Defined Self-Adaptive Wireless Network Design

近年来，网络设计不断发展，以适应智能城市等新兴应用领域。“智慧城市”概念结合了信息和通信技术;其中具有不同功能和资源要求的异构终端设备共存。成千上万的这些设备形成无线网状网络（WMN）、无线传感器网络（WSN）或物联网（IoT），以实现从异构设备的高效信息收集。然后分析收集的信息，以实现各种城市运营和服务的适当和及时的决策[46]。“智慧城市”的应用包括智能交通灯、路灯、监控、应急服务和环境监测。 智能城市中的网络必须在几毫秒内对通信链路和节点故障做出反应，理想情况下能够预测未来状态，并预测应用程序，服务和网络环境的需求。例如，城市规模的视频监控应用需要高带宽，以确保将关键事件及时传送到感兴趣的观察中心。为了使这些网络能够达到其预期的潜力，必须开发新的模型，以实现网络的可靠、高效和自适应行为;这些特性是基于传统网络堆栈架构的当前一代无线网络设计无法支持的。拟议的研究将填补现有无线网络设计与新兴无线网络应用（如智慧城市）需求之间的差距。 软件定义网络（SDN）正在成为标准的网络架构，因此，我的下一代无线网络的设计将结构化，以适应SDN范式。SDN架构由管理、控制和基础设施（数据）平面组成，其中网络策略在管理平面定义。然后，控制层根据全局网络视图将策略转换为基础设施层设备的网络配置规则。SDN还支持网络可编程性和可移植和可扩展的实现。 拟议的研究将设计新的算法，协议和架构，以实现可靠的网络操作。控制平面设计将提出一种新的概念，即可能将快速变化的网络状态行为和缓慢变化的网络状态行为分开，以支持效率和灵活性。自适应网络操作将基于将网络数据流上下文和分析相结合的新思想，该思想尊重来自不同SDN平面的约束。我将设计一个可编程、可靠、高效、敏捷和自适应的无线网络，目标是但不限于“智能城市”应用，如智能路灯、交通灯和监控。

In recent years network design has grown to accommodate emerging areas of application such as smart cities. The “smart city” concept combines the information and communications technology; where heterogeneous end devices with different capabilities and resource requirements coexist. Thousands of these devices form a wireless mesh network (WMN), wireless sensor network (WSN), or an Internet of Things (IoT) to enable efficient information collection from the heterogeneous devices. The gathered information is then analyzed to realize appropriate and timely decisions for various city operations and services [46]. The “smart city” applications include smart traffic lights, streetlights, surveillance, emergency services, and environmental monitoring. The networks in smart cities must react to communication link and node failures in a matter of milliseconds and ideally be able to predict future states and anticipate the demands of applications, services, and network environments. For instance, city-scale video surveillance applications demand high bandwidth to guarantee timely delivery of critical events to interested observation centers. To enable these networks to reach their intended potential, new models must be developed that can enable the reliable, efficient, and adaptive behavior of the networks; these are properties that cannot be supported by the current generation of wireless network designs that are based on legacy networking stack architecture. The proposed research will fill the gap between existing designs of wireless networks and demands of emerging wireless network applications such as in smart cities. Software-defined networking (SDN) is on track to become the standard network architecture; thus, my design of next-generation wireless networks will be structured to fit SDN paradigm. The SDN architecture is composed of management, control, and infrastructure (data) planes, where network policy is defined at the management plane. The control layer then translates policies into network configuration rules for infrastructure layer devices, according to a global network view. SDN further supports network programmability and implementations that are portable and extensible. The proposed research will design new algorithms, protocols, and architectures to enable reliable network operations. The control plane design will propose a new concept of the possible separation to a fast and a slow changing network state behavior to support efficiency and agility. The adaptive network operation will be based on a novel idea of combining network data flow context and analytics, which honors constraints from different SDN planes. I will produce a programmable, reliable, efficient, agile, and self-adaptive wireless network design targeted for, but not limited to, “smart city” applications, such as smart streetlights, traffic lights, and surveillance.