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Titlebook: Distributed Computing in Sensor Systems; 6th IEEE Internation Rajmohan Rajaraman,Thomas Moscibroda,Anna Scaglion Conference proceedings 201

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Thermal-Aware Sensor Scheduling for Distributed Estimation,rithm which can achieve a desired real-time performance constraint while maintaining a thermal limit on temperature at all nodes in a network. Analytical results and experimentation are done for estimation with a Kalman filter for simplicity, but our main contributions should easily extend to any form of estimation with measurable error.
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On Multihop Broadcast over Adaptively Duty-Cycled Wireless Sensor Networks,le, it reduces redundant transmission via delivery deferring and online forwarder selection. We establish the upper bound of broadcast count and the broadcast latency for a given duty-cycling schedule. We evaluate Hybrid-cast through extensive simulations. The results validate the effectiveness and efficiency of our design.
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Rajmohan Rajaraman,Thomas Moscibroda,Anna Scaglion
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Physical and Mechanical Hazardsinimal number of colors results in the first (. + 1) color classes being provably dense enough to form independent sets that are (1 − .) dominating. The resulting first (. + 1) independent sets, where . is the minimum degree of the graph, are shown to cover typically over 99% of the nodes (e.g. .< 0
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https://doi.org/10.1007/978-3-322-96753-4ciently recovered. To address these challenges, we propose ., a mobile-event tracking system based on off-the-shelf mobile phones. MetroTrack is capable of tracking mobile targets through collaboration among local sensing devices that track and predict the future location of a target using a distrib
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,Building (1 − ,) Dominating Sets Partition as Backbones in Wireless Sensor Networks Using Distributinimal number of colors results in the first (. + 1) color classes being provably dense enough to form independent sets that are (1 − .) dominating. The resulting first (. + 1) independent sets, where . is the minimum degree of the graph, are shown to cover typically over 99% of the nodes (e.g. .< 0
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