1,721,111 research outputs found

    A Near-Optimal Sensor Placement Algorithm to Achieve Complete Coverage/Discrimination in Sensor Networks

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    In this letter, we develop a robust and scalable algorithm to cope with the sensor placement problem for target location under constraints of the cost limitation and the complete coverage. The problem is NP-complete for arbitrary sensor fields. The grid-based placement scenario is adopted and the sensor placement problem formulated as a combinatorial optimization problem for minimizing the maximum distance error in a sensor field under the constraints. The proposed algorithm is based on the simulated annealing approach. The experimental results reveal that, for small sensor fields, the algorithm can find the optimal sensor placement under the minimum cost limitation. Moreover, it can also find a placement with minimum distance error for large sensor fields under the cost limitation

    Monolithic InGaP-GaAs HBT receiver front-end with 6mW DC power consumption for 5 GHz band WLAN applications

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    A very low power consumption (6 mW) 5 GHz band receiver frontend using InGaP-GaAs HBT technology is reported. The receiver front-end is composed of a cascode low noise amplifier followed by a double-balanced mixer with the RF transconductor stage placed above the Gilbert quad for direct-coupled connection. The RF band of this receiver front-end is set to be 5.2 GHz, being downconverted to 1 GHz IF frequency. Input-return-loss (S11) in RF port smaller than 12 dB and excellent power-conversion-gain of 35.4 dB are achieved. Input 1 dB compression point (P1dB) and input third-order intercept point (IIP3) of 24 and 3 dBm, respectively, are also achieved
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