The objective of a sensor network is the execution of specific signal processing functions on data that are collected in a distributed fashion. The transmission of the data is facilitated by protocols whose operations may be constrained by physical limitations of the network units, while their performance must simultaneously comply with the performance requirements of the deployed signal processing operations. At the same time, the network architecture affects the performance of both the signal processing and the data transmission operations, while some of the sensors may generate high-priority data. In this paper, we consider clustered sensor network topologies deploying a specific stable random access transmission algorithm per cluster, which facilitates high-priority data. We then introduce a dynamic architectural reconfiguration algorithm which controls individual cluster rates for optimal overall network performance. The latter algorithm is facilitated by a high-level traffic rate monitoring protocol.
Vehicle-to-anything (V2X) is a promising communication technology, which expected to revolutionise the ground transportation system by improving traffic safety and efficiency for people on roads. The future deployment of V2X requires interworking between different access technologies, i.e. dedicated short-range communications (DSRCs) and cellular networks. However, to achieve an efficient V2X interworking, the authors need to resolve the multi-hop issue, mainly originating from the V2X hybrid architecture. To resolve this issue and consequently to enhance the interconnected system, characterising the output process of IEEE 802.11p-based DSRC medium access control protocol is of a fundamental importance. This study proposes regenerative model to provide a complete description of IEEE 802.11p output process. The accuracy of the model is verified through extensive simulations. As a case study, the proposed model is compared with Poisson model in the performance evaluation of V2X interworking. Numerical and simulation results verify the ability of the regenerative model to capture the deviations of the actual output process of IEEE 802.11p under different traffic intensities as compared with the Poisson model.
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