软件定义物联网路由研究
[Abstract]:Internet of things and software defined network are the core technologies of the new generation of information and network, especially the computer network is a hot research topic at present. In the era of the Internet of things, the physical infrastructure of heterogeneous network systems will be more complex, the introduction of software-defined networks in the Internet of things, can be the perception layer of the Internet of things, The network layer and core cellular networks connected to edge devices or sensor nodes provide resilient, agile, and personalized management mechanisms. In smart applications and services, such as smart cities and medical monitoring, the Internet of things will be the main driving force behind the development of software-defined networks. From the point of view of Internet of things architecture, wireless sensor network is the foundation of Internet of things, and routing is an important research field in wireless sensor network. At present, the research of software-defined wireless sensor networks is in the ascendant. The method of software-defined routing instead of traditional routing is being studied, and some traditional routing algorithms have also applied the idea of software definition. In order to promote the development of Internet of things routing, software-defined network technology is introduced into the research of Internet of things routing. This paper discusses the architecture and flow of software-defined Internet of things (IoT), presents a routing protocol for software-defined wireless multihop networks, and validates the proposed protocol by OPNET. Compared with traditional distributed planning, centralized path planning based on SDN technology is more conducive to global optimization and reduces network delay. The protocol can provide a single shortest path or independent multipath route to the target node. When the load is large enough, the network life is longer than other algorithms (AODV,OLSR). In the aspect of cooperative communication and intelligent agent of Internet of things, a new cooperative communication algorithm is proposed, and a reliability prediction model is proposed, in which k cooperative nodes are selected for each hop to help forward data, so that idle nodes can go to sleep to save energy consumption. It can maintain high reliability in high dynamic wireless sensor network; The route planning problem of multi-agent accessing multiple source nodes in parallel is studied. A directional source packet multi-agent algorithm is proposed. The iterative algorithm of each source node is limited to the interior of a sector. The length of the route is controlled by the angle of the directed sector. The optimal route can be obtained by selecting the appropriate angle. In the aspect of Internet of things multimedia independent multi-path routing, multi-path independent routing is fitted according to B-spline curve, and multi-path planning routing algorithm is proposed, which minimizes energy consumption under the premise of guaranteeing user delay requirement. Based on the idea of software definition network, the routing coordination algorithm of multi-source and multi-path is studied, and the path of source node is dynamically controlled by Sink node programming. In order to solve the problem that energy holes are easily formed around the convergence nodes, a tightly coupled geographic multipath routing algorithm, PWDGR, is proposed to balance the load of neighbors near the convergence nodes, which significantly prolongs the network life compared with DGR. In the aspect of software-defined Internet of things simulation method, a new hardware-in-the-loop method is proposed to simulate software-defined Internet of things routing, and a software-defined healthy network hardware-in-the-loop simulation platform is built by using SITL technology of OPNET. Sensor networks use part or all of the software simulation, transmission networks and cloud data center using the actual network. In the case of ensuring the application of QoS requirements, the energy consumption is fully saved.
【学位授予单位】:华中科技大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TP391.44;TN929.5
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