Access Control for IoT Nodes With Energy and Fidelity Constraints - 2018


The presence of the many battery-powered sensors within the Web of Things paradigm requires the design of energy-aware protocols. Source coding techniques build it possible to avoid wasting some energy by compressing the packets sent over the network, but at the cost of poorer accuracy within the representation of the information. This Project addresses the problem of designing efficient policies to jointly perform processing and transmission tasks. In particular, we tend to aim at defining a scheduling strategy with the twofold goal of extending the network lifetime and guaranteeing an occasional overall distortion of the transmitted information. We propose a time division multiple access-based access theme that efficiently allocates resources to heterogeneous nodes. We tend to use realistic rate-distortion curves to quantify the impact of compression on the information quality and propose a whole energy model that features the energy spent for processing and transmitting the information, still as the circuitry energy costs. We consider both full and statistical data of the wireless channels and derive Communication policies for the two cases. The drawback is structured in modules and solved through convex and alternate programming techniques. Finally, we have a tendency to totally evaluate the proposed algorithms and therefore the influence of the design variables on the system performance adopting parameters taken from real sensors.

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