Abstract:
Sensor data management is a major component of the Internet of Things(IoT) environment. In this study, we provide a short overview through providing an analysis on wireless sensor networks and sensor databases. Second, we discuss concept of efficient sensor data transmission to cope with unstable sensor nodes and wireless communication failures.
To enhance the energy-efficiency and stability of data transmission in this unstable wireless sensor network environment, a new sensor-aware dynamic transmission scheme is proposed. In detail, the classification method for sensor-aware transmission mode was devised and the dynamic transmission method was applied to the unstable nodes.
The proposed dynamic transmission management skills minimize battery waste and communication failures of unstable sensor nodes. Consequently, unnecessary communication costs and battery energy can be reduced, and overall energy balance can be maintained in the sensor data network.
Keywords:
Sensor-based Compression, Sensor Devices, Sensor Database, Dynamic Data Transmission
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Citations:
APA:
Byun, S., (2019). Sensor Data Transmission Control using Selective Dynamic Compression for Mobile IoT Devices. International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, 12(8), 87-96. doi: 10.33832/ijca.2019.12.8.08.
MLA:
Byun, Siwoo “Sensor Data Transmission Control using Selective Dynamic Compression for Mobile IoT Devices.” International Journal of Control and Automation, ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 12, no. 8, 2019, pp. 87-96. IJCA, http://article.nadiapub.com/IJCA/vol12_no8/8.html.
IEEE:
[1] S. Byun, "Sensor Data Transmission Control using Selective Dynamic Compression for Mobile IoT Devices." International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 12, no. 8, pp. 87-96, Aug 2019.
