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Such networks can use fiber Bragg grating optical-based sensors and wireless sensors compliant with IEEE Integrating sensors allow to interact with real-world systems to monitor different parameters, including temperature, pressure, sound, etc. This is a great opportunity for the telecommunications and many economic sect ors, that is, sharing low-cost access networks for improved efficiency and sustainability.
In the following, we quant ify the performance of emerging FiWi access networks and propose new mechanisms by means of probabilistic analyses.
Such probabilistic analyses allow to quickly quantify the communications performance for large topologies.
In smart grid solutions, innovative partnerships hold great promise to enable utilities and other players to share smart gr id communications infrastructures investments by transitioning from the traditional vertical network integration model towards splitting the value chain into multi-tier business models. We develop an analytical framework for evaluating the capacity and delay performance of a wide range of routing algorithms in converged FiWi broadband access networks based on different next-generation PONs and a Gigabit-class multi-radio multi-channel WLAN-mesh front-end.
Our framework is very flexible and incorporates arbitrary frame size distributions, traffic matrices, opticaljwireless propagation delays, data rates, and fiber faults. We verify the accuracy of our probabilistic analysis by means of simulation for the wireless and wireless-optical-wireless operation modes of various FiWi network architectures un der peer-to-peer, upstream, uniform, and nonuniform traffic scenarios. The results indicate that our proposed optimized FiWi routing algorithm OFRA outperforms minimum wireless hop and delay routing in terms of throughput for balanced and unbalanced traffic loads, at the expense of a slightly increased me an delay at small to medium traffic loads.
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