Evolutionary gaming approach for decision making of Tier‐3 Internet service provider networks migration to SoDIP6 networks

With the increasing number of Internet of Things (IoT) devices, current networking world is suffering in terms of management and operations with lack of IPv4 addresses leading to issues like network address translation (NAT) proliferation, security and quality of services. Software‐defined networking (SDN) and Internet Protocol version 6 (IPv6) are the new networking paradigms evolved to address related issues of legacy IPv4 networking. To adapt with global competitive environment and avoid all existing issues in legacy networking system, network service providers have to migrate their networks into IPv6 and SDN‐enabled networks. But immediate transformations of existing network are not viable due to several factors like higher cost of migration, lack of technical human resources, lack of standards and protocols during transitions, and many more. In this paper, we present the migration analysis for proper decision making of network transition in terms of customer demand, traffic engineering, and organizational strength with operation expenditure for network migration using evolutionary gaming approach. Joint migration to SDN‐enabled IPv6 network from game theoretic perspective is modeled and is validated using numerical results obtained from simulations. Our empirical analysis shows the evolutionary process of network migration while different internal and external factors in the organization affect the overall migration. Evolutionary game in migration planning is supportive in decision making for service providers to develop suitable strategy for their network migration. The proposed approach for migration decision making is mostly applicable to fairly sustained service providers who lack economics, regulation/policy, and resources strengths.     

Routing algorithm design of satellite network architecture based on SDN and ICN

In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space‐terrestrial network, in the paper, we propose a satellite network architecture called software‐defined information centric satellite networking (SDICSN) based on software‐defined networking (SDN) and information‐centric networking (ICN), and we design a virtual node matrix routing algorithm (VNMR) under the SDICSN architecture. The SDICSN architecture realizes the flexibility of network management and business deployment through the features of the separation of forwarding and controlling by the SDN architecture and improves the response speed of requests in the network by the centric of “content” as the ICN idea. According to the periodicity and predictability of the satellite network, the VNMR algorithm obtains the routing matrix through the relative orientation of the source and destination nodes, thus reducing the spatial complexity of the input matrix of the Dijkstra algorithm and then reducing the time complexity of the routing algorithm. For forwarding information base (FIB), the mechanism of combination of event driven and polling can be quickly updated in real time. Finally, the advantages of the SDICSN architecture in routing efficiency, request delay, and request aggregation are verified by simulation.     

基于SDR平台的噪声聚合物理层安全传输方案的设计与实现

噪声聚合物理层安全方案通过编码设计,结合反馈控制可以充分地挖掘无线链路中引入的固有噪声资源,恶化窃听者的信道质量,增强通信系统的安全性能。为了在实际系统中验证与评估该方案的性能,基于软件无线电平台设计并实现了融合噪声聚合抗窃听功能的发射机、接收机方案;在此基础上,搭建了包含源节点、目的节点与窃听节点的抗窃听测试环境。以图像传输业务为测试案例,对误帧率、峰值信噪比等客观指标以及图像主观效果进行了评估。测试结果表明,合法接收端相比于窃听端在同一误帧率条件下可获得良好的信噪比增益;在同一信噪比条件下具有高峰值信噪比且清晰可辨的接收图像,验证了噪声聚合方案的有效性。     

基于SDN分级分域架构的QoS约束路由算法

传统分布式的网络架构制约路由算法的创新,软件定义网络的出现为路由算法的优化提供了新思路。已有研究中,启发式算法广泛应用于服务质量路由,但由于计算复杂度高而无法在大型网络中应用。而其他算法均存在不同程度的问题,要么复杂度较高,要么算法性能较差,如最短路径算法。基于 SDN 分级分域架构,提出了 LC-LD 路由算法,综合时延条件和代价度量约束并在计算复杂度和算法性能之间保持平衡。仿真分析表明,LC-LD路由算法在有较低的计算复杂度的同时还有较高的服务质量路由选路性能。     

QoS Aware Multicast Routing Protocol for Video Transmission in Smart Cities

In recent years, Software Defined Networking (SDN) has become an important candidate for communication infrastructure in smart cities. It produces a drastic increase in the need for delivery of video services that are of high resolution, multiview, and large-scale in nature. However, this entity gets easily influenced by heterogeneous behaviour of the user's wireless link features that might reduce the quality of video stream for few or all clients. The development of SDN allows the emergence of new possibilities for complicated controlling of video conferences. Besides, multicast routing protocol with multiple constraints in terms of Quality of Service (QoS) is a Nondeterministic Polynomial time (NP) hard problem which can be solved only with the help of metaheuristic optimization algorithms. With this motivation, the current research paper presents a new Improved Black Widow Optimization with Levy Distribution model (IBWO-LD)-based multicast routing protocol for smart cities. The presented IBWO-LD model aims at minimizing the energy consumption and bandwidth utilization while at the same time accomplish improved quality of video streams that the clients receive. Besides, a priority-based scheduling and classifier model is designed to allocate multicast request based on the type of applications and deadline constraints. A detailed experimental analysis was carried out to ensure the outcomes improved under different aspects. The results from comprehensive comparative analysis highlighted the superiority of the proposed IBWO-LD model over other compared methods.     

Measuring End-to-End Delay in Low Energy SDN IoT Platform

In this paper, we developed a new customizable low energy Software Defined Networking (SDN) based Internet of Things (IoT) platform that can be reconfigured according to the requirements of the target IoT applications. Technically, the platform consists of a set of low cost and energy efficient single-board computers, which are interconnected within a network with the software defined configuration. The proposed SDN switch is deployed on Raspberry Pi 3 board using Open vSwitch (OvS) software, while the Floodlight controller is deployed on the Orange Pi Prime board. We firstly presented and implemented the method for measuring a delay introduced by each component of the IoT infrastructure, ranging from the sensor, the core of SDN, the IoT broker, to an IoT subscriber. Thus, we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic. The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56% of energy at low traffic intensity, but also provides QoS guarantee for IoT applications.     

SDN在车载网中的应用综述

随着车载应用、移动设备和物联网的快速发展,开发处理车载网大数据的高效架构已成为未来智慧城市关注的重要问题。然而,车载网复杂且不灵活的架构面临一系列挑战,如高移动性、间歇性连接、应用程序的异构性。在这种背景下,软件定义网络(Software Defined Network,SDN)可编程和灵活的网络架构,在有线网络管理和异构无线通信中受到学术界和工业界的广泛关注。在车载网中应用SDN可以提高灵活性、可靠性、可编程性和可扩展性,增强车载网提供应用和服务的能力,提高用户服务质量。文中首先描述了SDN的体系结构,然后从架构和数据传播角度出发概括了软件定义车载网络(Software Defined Vehicular Networks,SDVN)的研究进展,随后概述了结合移动边缘计算(Mobile Edge Computing,MEC)的SDVN研究现状,接着讨论了SDVN存在的问题和挑战,最后介绍了SDVN的应用前景。     

一种面向Portal认证的IPv6可信地址分配机制

随着网络规模的增长,对网络进行精细化管控变得尤为重要。在下一代互联网中将用户可信身份嵌入 IPv6 地址后缀形成可信地址,能够进一步提高网络行为的可追溯性。目前已有研究基于 Portal 认证配合DHCPv6将用户的身份信息嵌入用户终端的IPv6地址中,但是为了分配可信地址而改动的DHCPv6过程造成了机制对用户终端不透明,无法大规模部署。提出了一种面向Portal认证的IPv6可信地址分配机制,通过服务器信令交互配合软件定义网络（SDN）技术实现IPv6可信地址的间接分配,而且与地址分配方式无关。最后,实现了一个原型系统并在江苏南京电信现网机房评估了其可行性和性能,结果表明此机制在对终端透明的情况下仅带来很少的额外开销。     

基于SDN和MEC的5G VANET架构及其性能分析

为了在大规模的车载自组织网络（Vehicular Ad-hoc Network,VANET）中提供灵活的网络管理、控制和提高资源利用率,结合软件定义网络（Software Defined Network,SDN）、云无线接入网络（Cloud Radio Access Network,C-RAN）和移动边缘计算（Mobile Edge Computing,MEC）,提出了一种分层的5G VANET架构（5G MEC VANET）,能够支持智能交通系统各种功能和应用的动态特性,同时降低网络管理成本。此外,位于网络边缘的MEC框架避免了车辆与路边基站的频繁交互,减少了数据传播延时。仿真结果表明,与传统VANET和5G VANET架构相比,所提出的架构降低了传播时延,提高了网络带宽吞吐量,同时减少了控制器开销。     

SDWN下基于流量负载感知的AP间无缝切换算法研究

软件定义无线网络（SDWN）作为一种控制转发解耦合的架构,有利于快速获取全局拓扑,为无线接入点（AP）间无缝切换提供了便利。针对传统基于信号强度（RSSI）的AP选择算法可能会造成资源利用率低及负载不均衡问题,充分考虑流量负载对AP性能的影响,对传统Odin架构进行扩展,提出了一种软件定义无线网络（SDWN）下基于流量负载感知的AP间无缝切换算法。该算法考虑客户端收到的信号强度（RSSI）及AP的流量负载,可有效解决AP间负载不均衡问题。最后,在开源实验平台(Odin)应用此算法,实验表明相比传统基于RSSI的切换算法,此算法有效提升了终端网络吞吐量。