RSSI Fingerprinting-Based Localization Using Machine Learning in LoRa Networks

Mahnoor, AnjumSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)

The scale of wireless technologies' penetration in our daily lives, primarily triggered by Internet of Things (IoT)-based smart cities, is beaconing the possibilities of novel localization and tracking techniques. Recently, low-power wide-area network (LPWAN) technologies have emerged as a solution to offer scalable wireless connectivity for smart city applications. LoRa is one such technology, which provides energy efficiency and wide-area coverage. This article explores the use of intelligent machine learning techniques, such as support vector machines, spline models, decision trees, and ensemble learning, for received signal strength indicator (RSSI)-based ranging in LoRa networks on a training dataset collected in two different environments: indoors and outdoors. The suitable ranging model is then used to experimentally evaluate the accuracy of localization and tracking using trilateration in the studied environments. Later, we present the accuracy of a LoRa-based positioning system (LPS) and compare it with the existing ZigBee, WiFi, and Bluetooth-based solutions. In the end, we discuss the challenges of satellite-independent tracking systems and propose future directions to improve accuracy and provide deployment feasibility.

Khan, Muhammad AbdullahSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)
Hassan, Syed AliSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)
Qureshi, Hassan KhaliqSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan (author)
Mahmood, Aamir,1980-Mittuniversitetet,Institutionen för informationssystem och –teknologi(Swepub:miun)aammah (author)
Gidlund, Mikael,1972-Mittuniversitetet,Institutionen för informationssystem och –teknologi(Swepub:miun)mikgid (author)
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, PakistanInstitutionen för informationssystem och –teknologi (creator_code:org_t)

By the author/editor: Mahnoor, Anjum; Khan, Muhammad A ...; Hassan, Syed Ali; Qureshi, Hassan ...; Mahmood, Aamir, ...; Gidlund, Mikael, ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Communication Sy ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Telecommunicatio ...

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