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.
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