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The emergence of location-based applications in wireless sensor network has galvanized extensive research on localization. Nonetheless, localization remains a difficult problem due to trade-offs between accuracy, energy consumption and computing resources. Searching for a solution that is sufficiently robust to handle a variety of scenarios, we propose KickLoc, which is a fully distributed solution...
This paper presents a source localization algorithm based on the source signal's time-difference-of-arrival (TDOA) for asynchronous wireless sensor network. To obtain synchronization among anchors, all anchors broadcast signals periodically, the clock offsets and skews of anchor pairs can be estimated using broadcasting signal's time-of-arrivals (TOA) at anchors. A kalman filter is adopted to improve...
In smart homes, it is essential to reliably detect events including water leakages. A control action, such as shutting the water pipes, relies on reliable event detection. In this demo, a wireless sensor network for detection and localization of events in smart homes is presented. The demo is based on novel distributed detection-estimation and localization algorithms. A graphical user interface to...
In this paper a new concept for an infrastructure independent approach to indoor person localization is outlined. It is proposed to deploy an ad-hoc wireless sensor network (WSN) by means of a pedestrian dead reckoning (PDR) unit. The deployed nodes are initialized with a PDR-determined position estimation. Furthermore, a subset of the nodes has a GPS connection and thus an accurate estimation of...
The challenge of target tracking is one of the most important applications of WSNs (Wireless Sensor Networks). Traditionally, Kalman filter and its derivatives are some of the most popular algorithms for solving the signal tracking problem. In a WSNs tracking application, the target motion and state update dynamics might be modelled by linear or non-linear structures depending on the specific scenario...
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