工业无线传感器网络集中式资源调度研究
[Abstract]:The low cost, easy deployment and intelligent characteristics of wireless sensor network make it an important technology in the field of industrial measurement and control. The industrial wireless sensor network (Industrial Wireless Sensor Networks, IWSNs) adopts the centralized control idea and the controller is responsible for the network communication resource scheduling to improve the controllability of the network and to meet the needs of industrial applications. In this paper, the resource scheduling mode, which is separated from control and forwarding in industrial network, and the resource scheduling algorithm of network layer and data link layer are studied for IWSNs, with centralized resource control. The main achievements and innovations of this paper are as follows: IWSNs centralized resource scheduling protocol is proposed. This paper studies the logical control function of the control plane in IWSNs, the data forwarding process in the data plane, the cross-layer scheduling of the protocol stack, the abstraction of network resources and the scheduling strategy. Based on time-division multiple access (TDMA), this paper uses the idle channel evaluation mechanism to distinguish control channel from data channel, realizes the separation of control and forwarding at slot level, and designs a centralized IWSNs resource cross-layer scheduling protocol. The performance advantages of IWSNs end-to-end transmission delay and packet transmission success rate are analyzed experimentally and compared with traditional wireless sensor networks. A resource aware routing graph generation algorithm is proposed. Industry standard defines that IWSNs network layer adopts graph routing protocol. In this paper, the corresponding routing graph generation algorithm is designed for three communication modes: broadcast, uplink and downlink. Routing graph generation algorithm computes path metrics by perceiving network resources and considering multiple metrics and different routing fault-tolerant mechanisms. Based on path measurement results and QoS requirements, the controller selects paths and generates routing diagrams. In this paper, the effect of link packet loss rate on the performance of resource-aware routing graph generation algorithm is simulated and analyzed, and the performance advantages of the algorithm in packet reception rate and network overhead are verified. A multipath transmission resource scheduling algorithm based on slot reuse is proposed. Multipath transmission results in increased resource requirements for communications. In order to improve the utilization of communication resources, the optimal scheduling strategy of slot reuse is adopted in this paper, and the path selection based on network layer is used to allocate non-conflicting nodes to share communication resources. Based on the scheduling optimization strategy, this paper proposes a multipath transmission resource scheduling algorithm based on slot reuse by establishing, traversing and optimizing the path tree. Simulation results show that the proposed algorithm does not affect the performance of packet reception rate and reduces the time slot resources required for communication. A time-delay optimal resource scheduling algorithm based on multi-constraints. IWSNs standard supports frequency-hopping technology. The controller needs dual scheduling of time-slot frequency. In this paper, we analyze the minimum number of time slots for packet transmission in the case of unlimited frequency and limited frequency by formulating the dual scheduling problem of slot frequency. Based on network layer path selection and link layer conflict free scheduling as multiple constraints, the delay optimization resource scheduling algorithms based on packet scheduling are designed respectively. This algorithm is more flexible and extensible than the heuristic scheduling algorithm based on network node scheduling. The performance of the delay optimal scheduling algorithm and the heuristic scheduling algorithm are analyzed by comparing the theoretical minimum.
【学位授予单位】:北京交通大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TP212.9;TN929.5
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