Research On Performance Analysis Method Of Internet Of Things Communication Network Assisted By Mobile Relays

In recent years,the use of mobile relay nodes to assist Io T devices in data transmission has become a research hotspot in the field of information transmission in the Internet of Things.The reasonable deployment and utilization of mobile relay nodes in different network paradigms can effectively alleviate the local ”energy hole” problem of the Io T,balance the energy consumption of Io T devices,and greatly improve the lifetime of the network and the successful transmission probability of collected information.In actual large-scale random networks,the mobility characteristics of mobile relays and the dynamic arrival characteristics of services have a non-negligible impact on network interference distribution.However,the existing related research work lacks the characterization of this effect,resulting in an imperfect theoretical analysis framework for mobile relay-assisted Io T communication systems.Therefore,the main work of this study is summarized as follows:(1)In a fully opportunistic transmission network scenario consisting of sensors,mobile relays,and base stations,using stochastic geometry theory,the opportunistic contact transmission process between randomly moving relay nodes and sensors and base stations is analyzed.By modeling the contact time distribution and inter-contact time distribution between the mobile relay and the sensor node,the cumulative interference distribution at the Io T receiving node is deduced,then the uplink successful transmission probability of the network are calculated and the end-to-end delay of the network is analyzed.Based on the constructed network performance analysis framework,we quantify the influence of node density,velocity of the mobile relay and contact radius of sensor nodes on network performance,and determine the key factors restricting network communication performance.(2)In the scenario of service-aware opportunistic transmission network with improved data aggregation strategy,the successful transmission probability of the receiving node is deduced by comprehensively considering the influence of the spatial random distribution characteristics of nodes and the random arrival characteristics of services on the interference distribution in the network.Using the M/G/1 vacation queuing model with general service constraints,the queuing state of sensor node is modeled,and the end-to-end delay of data packets from generation to reception by the base station is derived.Finally,the gain in network energy consumption after the introduction of mobile relays is quantified in comparison with the static relay-assisted Io T communication architecture.(3)In the scenario of a multi-UAV-assisted transmission network composed of sensors,UAVs and base stations,based on a Radial mobility model that can provide uniform coverage and follow a fixed flight trajectory,a multi-UAV-assisted data collection and forwarding strategy is proposed.Based on the actual Lo S/NLo S fading air-ground channel model and the node strongest received signal association strategy,we analyze the influence of the randomness of the channel and the spatial random distribution characteristics of the nodes on the network interference distribution,and deduce the successful transmission probability of data and end-to-end achievable rate,providing a theoretical basis for the design of UAV-assisted Io T communication network.