Outdoor Localization and Distance Estimation Based on Dynamic RSSI Measurements in LoRa Networks: Application to Cattle Rustling Prevention

被引:0
|
作者
Dieng, Ousmane [1 ]
Pham, Congduc [2 ]
Thiare, Ousmane [1 ]
机构
[1] Univ Gaston Berger, Dept Comp Sci, St Louis, Senegal
[2] Univ Pau, LIUPPA, Pau, France
来源
2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB) | 2019年
基金
欧盟地平线“2020”;
关键词
Localization; LoRa; RSSI Distance Estimation; GPS; Cattle Rustling; Kalman filter; Path-loss;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, we propose an RSSI-based distance estimation scheme for localization of cattle collars communicating with long-range LoRa radios. Cattle localization is designed to prevent theft in livestock. The proposed solution decreases the cost of cattle localization by minimizing the number of collars with GPS and allows accurate localization of collars without GPS. We propose an RSSI-based distance estimation using real-time adjustment of RSSI-distance mapping, taking advantage of communication between collar nodes and gateway. Log-distance path-loss model is also used as a rescue when the map does not provide accurate correspondence. Experimentation results show the validity of the approach with highly accurate localization of non-GPS collars.
引用
收藏
页数:6
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