Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation

Bamgboye, Oluwaseun; Liu, Xiaodong; Cruickshank, Peter; Liu, Qi; Zhang, Yonghong

Abstract

In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system and semantic rules to provide semantic reasoning for tracking erroneous data points from real time sensor readings. We demonstrated the effectiveness and the efficiency of the approach using the dataset produced from smart home project. Experiments were conducted with simulated arbitrary sensor values for inconsistent and missing sensor readings at various data points. The results was able to show the feasibility of the approach and that quality requirement of sensor streams can be verified at lower granularity level (data layer) of smart actuators.

Citation

Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021, December). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. Presented at 2021 CIE International Conference on Radar (Radar), Haikou, Hainan, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2021 CIE International Conference on Radar (Radar)
• Start Date: Dec 15, 2021
• End Date: Dec 19, 2021
• Acceptance Date: Oct 25, 2021
• Online Publication Date: Feb 8, 2023
• Publication Date: 2021
• Deposit Date: Nov 12, 2021
• Publicly Available Date: Dec 31, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2640-7736
• Book Title: 2021 CIE International Conference on Radar (Radar)
• DOI: https://doi.org/10.1109/Radar53847.2021.10028325
• Keywords: Actuator, C-SPARQL, Radar, IoT, Sensor, Stream Quality
• Public URL: http://researchrepository.napier.ac.uk/Output/2796278