Abstract-Noise in PLC is of relatively complex structure of which the most important component is the asynchronous impulsive noise. Based on measurements realized in an industrial zone, this paper shows the heavy tail phenomenon observed in experimental measures. Consequently, the alpha stable model is the most natural to be used in describing the statistics of PLC impulsive noise in industrial zones. Furthermore, the inter-arrival time is of Pareto distribution while the duration of impulses follows a mixed exponential distribution. All parameters of the alpha stable model as well as the Pareto parameters and the mixed exponents are statistically estimated. The variation of these parameters with time is also discussed.Index Terms-Power line communication, impulsive noise, measurement and characterization.

The effect of climate change and human activities leads to a series of dangerous phenomena, such as landslides and flood. In such a context, building a system to monitor environmental hazards is seriously needed. Some studies propose to use wireless sensor network (WSN) technique for landslide monitoring systems. Two important factors for these systems are the flexibility and the energy management. This paper focuses on the development of a flexible and efficient WSN for detecting rainfall-induced landslides. A flexible switching between star and tree topologies is used to adapt to weather conditions in order to maximize the reliability of the transmission. Moreover, the power management is designed concurrently with the weather condition to improve both the operation reliability and the power efficiency. The performance of our designed WSN is evaluated by both simulation and outdoor experiment. Detailed calculation of the power budget is presented thoughtfully to confirm the effectiveness of the proposed scheme.

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This paper presents a technique to optimize with constraints, the performance of three-degree of freedom silicon accelerometers. A flexure configuration has been proposed in order to meet requirements of small cross-axial acceleration, high and linear sensitivity. The overall chip dimension is 1.5×1.5×0.5 mm 3 (L×W×T) and the beam size is 950×80×10 µm 3 (L×W×T). The purpose of this constrained optimization process is to achieve the highest sensitivity or resolution while imposing conditions on other parameters. It has been done based on considerations of the junction depth, the doping concentration of the piezoresistor, the temperature, the Signal to Noise Ratio, and the power consumption. Such an optimized accelerometer offers a much better performance compared to others.

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