By Cesare Celozzi, Filippo Gandino, Maurizio Rebaudengo (auth.), Marco Zuniga, Gianluca Dini (eds.)

ISBN-10: 3319041657

ISBN-13: 9783319041650

ISBN-10: 3319041665

ISBN-13: 9783319041667

This e-book constitutes the completely refereed post-conference complaints of the 4th overseas ICST convention on Sensor platforms and software program, S-Cube 2013, held in Lucca, Italy, 2013. The eight revised complete papers and a pair of invited papers provided conceal contributions on diverse applied sciences for instant sensor networks, together with protection protocols, middleware, research instruments and frameworks.

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Additional resources for Sensor Systems and Software: 4th International ICST Conference, S-Cube 2013, Lucca, Italy, June 11-12, 2013, Revised Selected Papers

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Knowing the battery discharge state is essential for energy management. In most use-cases it is, however, most important to predict early enough the approaching node failure due to energy shortage. g. its usage only under critical circumstances. The established approach to indicate end-of-life of a battery is to measure its voltage and compare it to a predefined threshold value. The voltage curve is, however, dependent on the battery chemistry, details of its design, operation temperature and discharge characteristics.

Consider the following use-case: A cluster head node is supposed to initiate the election of a successor shortly before its end-of-life. It would be possible to apply one of the arbitrary complex operating voltage based models mentioned in Section 2 or perform some measurements in order to define a proper operating voltage threshold. Alternatively, some measurements could be used to identify a suitable overpotential threshold. As shown in this work, the overpotential based indication would result in higher accuracy.

This process is performed by the BSs. It is assumed that this process is only performed using security measures. In this way, the location of BS and CL children is provided securely. This is important so that parent nodes can detect Sybil attacks by the number of children they have and the mismatch in the position information sent by each sensor when transmitting its data. Whenever a CL or a BS node has consumed its power, or is detected as malicious, Redwest will be able to find that due to its ability to find malicious and malfunctioning sensors and replace it by using the above conditions.

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Sensor Systems and Software: 4th International ICST Conference, S-Cube 2013, Lucca, Italy, June 11-12, 2013, Revised Selected Papers by Cesare Celozzi, Filippo Gandino, Maurizio Rebaudengo (auth.), Marco Zuniga, Gianluca Dini (eds.)


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