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Towards Vehicle-Assisted Adaptive Wireless GeoMesh Network for Smarter Cities

Authors:
Yin Chen
Takuro Yonezawa
Jin Nakazawa

Keywords: Wi-SUN; Localization; Vehicular Network

Abstract:
Recent development in low-power wireless networks enables us to deploy IoT (Internet of Things) devices in an entire city with low maintenance and management cost. However, since such IoT devices cannot have fine-grained location sensors, such as GPS, types of applications with the IoT devices must be limited. This paper proposes a method of fine-grained location estimation for IoT devices in low-power wireless networks, specifically Wi-SUN (Wireless Smart Utility Network). We leverage public vehicles, which go around over an entire city almost everyday with mounting a GPS sensor and Wi-SUN link. The vehicular devices are used to collect GPS data for learning the relationships between the radio strength measured at Wi-SUN stations and the locations of IoT devices. With the learned data, we expect to estimate the fine-grained location of a Wi-SUN device.

Pages: 81 to 84

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-573-9

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017