چکیده مقاله
The emergence of industry 4 0 and 5 0 has brought about profound transformationsin both daily existence and industry In many industries, the Internet of Things IoT is crucialfor supplying information and carrying out the necessary tasks One significant developmentfor IoT activation is Low Power Wide Area Networks LPWANs , particularly LoRaWANs Accuratetracking of machines, equipment, and objects to improve production and efficiency inindustries is a requirement for the success of these revolutions Received Signal Strength Indication RSSI fingerprint map is one of the advanced localization techniques The measured RSSIis greatly affected by environmental changes, such as object displacement and weather variations In outdoor settings, these alterations and displacements are more noticeable To obtain improvedlocalization accuracy, the fingerprint map needs to be updated frequently due to variations inRSSI caused by changes in the environment For LoRa fingerprint based localization, this posesa serious challenge Environment related images, such as images from surveillance cameras,show environmental changes such as the movement of objects Therefore, environmental imagescan be a useful tool for detecting environmental changes and updating fingerprint maps Thisresearch helps to improve the accuracy and reliability of LoRaWAN fingerprint localization systemsusing image processing techniques to learn and predict the effect of environment changeson the RSSI and fingerprint map To implement the proposed method, a real environment isused in a car parking environment, a place where the movement of vehicles is evident based onthe measured RSSI The results show that this method can greatly improve localization, whichresults in localization output that is significantly more accurate
کلیدواژهها
نویسندگان
Asma Haghighat
Faculty of Intelligent Systems Engineering and Data Sience, Persian Gulf University, Bushehr, Iran
Ahmad Keshavarz
Faculty of Intelligent Systems Engineering and Data Sciences, Persian Gulf University, Busher, Iran
Azin Moradbeikie
ADiT Lab, Instituto Politecnico de Viana do Castelo, ۴۹۰۰ ۳۴۸ Viana do Castelo, Portugal, CiTin Centro de Interface Tecnologico Industrial, Inovarcos, ۴۹۷۰ ۷۸۶ Arcos de Valdevez, Portugal
شیوه ارجاع
Haghighat, Asma and Keshavarz, Ahmad and Moradbeikie, Azin,1403,Improvement of Outdoor Fingerprint-based Localization using Image Processing,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده3 اردیبهشت 1403 · بوشهر