Ben Charrow

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We describe an indoor, room-level location discovery method based on spatial variations in " wifi signatures, " i.e., MAC addresses and signal strengths of existing wireless access points. The principal novelty of our system is its organic nature; it builds signal strength maps from the natural mobility and lightweight contributions of ordinary users,(More)
This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and " organically collected " (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically(More)
OBJECTIVES To assess the effectiveness of a wireless network (WiFi-based) localization system (devices mounted on resident wheelchairs) in decreasing caretaker time spent searching for residents and providing alerts of residents going outdoors in a skilled nursing facility. DESIGN A controlled study over two 2-month periods approved by the institutional(More)
— Enabling a team of robots to self-organize into a multi-hop ad hoc network as it simultaneously completes a task requires a system architecture that controls both the motion of each robot and their communication variables. In this paper, we consider this objective and propose a hybrid architecture composed of both centralized and decentralized components.(More)
This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and "organically collected" (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically(More)
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