A Network Coverage Information-Based Sensor Registry System for IoT Environments

The Internet of Things (IoT) is expected to provide better services through the interaction of physical objects via the Internet. However, its limitations cause an interoperability problem when the sensed data are exchanged between the sensor nodes in wireless sensor networks (WSNs), which constitut...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2016-07, Vol.16 (8), p.1154-1154
Main Authors: Jung, Hyunjun, Jeong, Dongwon, Lee, Sukhoon, On, Byung-Won, Baik, Doo-Kwon
Format: Article
Language:English
Subjects:
Core wire
Dangerous
Internet
Internet of Things
Interoperability
Mobile communication systems
network coverage
Networks
Remote sensors
Roads
sensor information
Sensor Registry System
Sensors
Wireless networks
Wireless sensor networks
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Summary:The Internet of Things (IoT) is expected to provide better services through the interaction of physical objects via the Internet. However, its limitations cause an interoperability problem when the sensed data are exchanged between the sensor nodes in wireless sensor networks (WSNs), which constitute the core infrastructure of the IoT. To address this problem, a Sensor Registry System (SRS) is used. By using a SRS, the information of the heterogeneous sensed data remains pure. If users move along a road, their mobile devices predict their next positions and obtain the sensed data for that position from the SRS. If the WSNs in the location in which the users move are unstable, the sensed data will be lost. Consider a situation where the user passes through dangerous areas. If the user's mobile device cannot receive information, they cannot be warned about the dangerous situation. To avoid this, two novel SRSs that use network coverage information have been proposed: one uses OpenSignal and the other uses the probabilistic distribution of the users accessing SRS. The empirical study showed that the proposed method can seamlessly provide services related to sensing data under any abnormal circumstance.
ISSN:1424-8220
1424-8220
DOI:10.3390/s16081154