Demo: Dead Reckoning for Monte Carlo Localization in Low Seed Density Scenarios
نویسندگان
چکیده
In this work we present a dead reckoning approach called Sensor-Assisted Monte Carlo Localization (SA-MCL) to account for low seed density situations in localization for mobile sensor networks. Our approach is based on using additional sensor information from a standard IMU device. It is evaluated in a mobile sensor network testbed based on radiocontrolled cars. The demo complements our full paper which describes our localization solution in detail.
منابع مشابه
Dead Reckoning Localization Technique for Mobile Wireless Sensor Networks
Localization in wireless sensor networks (WSNs) not only provides a node with its geographical location but also a basic requirement for other applications such as geographical routing. Although a rich literature is available for localization in static WSN, not enough work is done for mobile WSNs, owing to the complexity due to node mobility. Most of the existing techniques for localization in ...
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