| Title | 6LoWPAN Protocol Based Infrared Sensor Network Human Target Locating System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Yang, B., Liu, F., Yuan, L., Zhang, Y. |
| Conference Name | 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) |
| Keywords | 6LoWPAN, composability, Cost function, human target location, infrared sensors, Internet of Things, Optical sensors, PIR, Protocols, pubcrawl, Resiliency, Sensor systems, Sensors, Wireless Sensor Network, Wireless sensor networks |
| Abstract | This paper proposes an infrared sensor human target locating system for the Internet of Things. In this design, the wireless sensor network is designed and developed to detect human targets by using 6LoWPAN protocol and pyroelectric infrared (PIR) sensors. Based on the detection data acquired by multiple sensor nodes, K-means++ clustering algorithm combined with cost function is applied to complete human target location in a 10mx10m detection area. The experimental results indicate the human locating system works well and the user can view the location information on the terminal devices. |
| DOI | 10.1109/ICIEA48937.2020.9248292 |
| Citation Key | yang_6lowpan_2020 |
6LoWPAN Protocol Based Infrared Sensor Network Human Target Locating System