Research On Key Technologies In Smart Grid SUN Coexistence In A Multi-network Environment

Research on the smart grid has been widespread concern in recent years amongSmart Utility Network (SUN) more general. Like other wireless networks, SUN band isalso working on ISM2.4GHz, inevitably subject to interference from other wirelessnetworks. Research motivation of this paper is to provide a coexistence mechanismwhereby SUN network to avoid interference from other wireless networks at work, forwireless communications to create a harmonious environment. This thesis follows:Firstly, the definitions, characteristics and network topology of SUN system basedon IEEE802.15.4g standards are described, and SUN three physical layer models thatMR-FSK, MR-OFDM and MR-OQPSK are also presented.BER, respectively, thesethree models in the Gaussian white noise is analyzed theoretically, and then modeled inSimulink simulation platform for authentication, thereby laying the foundation for theconstruction of the establishment of the coexistence system.Secondly, the two main indicators such as bit error rate and packet error rate toanalyze the impact of WLAN on the SUN system performance. The simulation resultsunder the presence of WLAN interference sources showed that the number of WLANinterference sources and the distance between WLAN and SUN receiver have an impacton BER. In addition, Analyzing the packet error rate based on packet collision modellays the foundation for the construction of the establishment of the system when theSUN and WLAN coexistence model.Thirdly, several existing coexistence mechanisms are presented. focusing on theprinciple of a single gateway channel selection scheme and implementation process, andthen proposed a multi-route scheduling algorithm based on multi-gateway to avoidWLAN interference on the SUN. Since the proposed algorithm is network routingbuffer queue length and routing hops function, effectively reducing the transmissiondelay of the network, improve network throughput.Finally, how to avoid traffic congestion in the network, and RED algorithm isanalyzed, and we can see that the algorithm can effectively control the number ofwaiting data packets in the network routing buffers from the simulation results of REDalgorithm on SimEvent platform. Then, we have the TCP protocol congestion controlalgorithm simulation that can be achieved correctly received packet retransm-ission andchoreography.