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Titlebook: Wireless Sensor Networks; 9th European Confere Gian Pietro Picco,Wendi Heinzelman Conference proceedings 2012 Springer-Verlag GmbH Berlin H

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Realistic Simulation of Energy Consumption in Wireless Sensor Networkssimulation tool. For this purpose, results from a reference experiment using SANDbed, a WSN testbed with focus on energy measurements, and Avrora, a wireless sensor network simulation tool, are compared. In this experiment, we found a difference in total energy consumption up to 20% between simulati
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Fault-Tolerant Relay Deployment Based on Length-Constrained Connectivity and Rerouting Centrality ino when failures occur the routing protocol can still offer reliable delivery. We define .-CRC, a new centrality index which measures a node’s importance to connectivity and efficient delivery in the network. We then use this centrality index to concentrate on the most important nodes, providing alte
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On the Optimal Blacklisting Threshold for Link Selection in Wireless Sensor Networkss too restrictive (the threshold is too high), all neighbors get blacklisted. On the other hand, if the calibration is too loose (the threshold is too low), unreliable links get selected. This paper investigates blacklisting analytically. We derive a model that accounts for the joint effect of the w
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GPS-Equipped Wireless Sensor Network Node for High-Accuracy Positioning Applicationsositioning applications. A wireless network of GPS-equipped sensor nodes, built from low-cost off-the-shelf components, autonomously acquires L1 GPS data for Differential GPS (DGPS) processing of raw satellite information. The differential processing on the backend infrastructure achieves relative p
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ScanTraffic: Smart Camera Network for Traffic Information Collectionnmental benefits they can provide. An open issue in this domain is the need for pervasive technologies to collect traffic-related data. In this paper we discuss the use of visual Wireless Sensor Networks (WSNs), i.e., networks of tiny smart cameras, to address this problem. We believe that smart cam
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Towards Extending Sensor Node Lifetime with Printed Supercapacitorssupply. Typically, the generic power supply for a sensor node is a battery, which is limited in cycle life. Current research in energy scavenging technology, along with the use of innovative energy storage devices such as supercapacitors, has demonstrated the improvement of sensor node lifetime char
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