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Transmission power control can significantly improve energy-efficiency of wireless sensor network communications. Power consumption models are typically based on dependence of channel attenuation on distance. However, in practice, information on distance is usually not available and the dependence of channel attenuation on distance is not sufficiently accurate. Therefore, we propose more accurate power consumption model that uses information on total channel-loss, available on the most current low-power transceivers. We formulate the problems of selecting single-hop vs. multi-hop communication, and minimal energy route optimization, based on the proposed power consumption model.

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This study is a first step towards solving the parking search time optimization problem in urban area. By using adaptive multi-criteria optimisation model with system feedback for simulation of parking choice behaviour and drivers' preferences, presented by adequate utility function, we shown on real case that parking search time can by reduced by 70 %. We use publicly available demographic study as input data and Rockwell Automation Arena ® 14 software for processing and modelling. Various categories of data were evaluated based on results from 2,057 interviews with parking users. Our comparison of two models, everyday driver behaviour model and adaptive experimental optimisation model, shows a great potential in reducing parking search time. The analysed results show that search time decreases with information availability about three main criteria: acceptable walking distance, price and driving time.