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Article
Computer Science, Information Systems
Fasih Ullah Khan et al.
Summary: A novel 2-phase cell localization algorithm based on trilateration is proposed in this paper, which successfully achieves cell localization of objects. Experimental results show that Wi-Fi localization is better than LoRa, and the study on how the accuracy of localization is affected by cell size in both wireless protocols.
Article
Computer Science, Artificial Intelligence
Vasilios N. Katsikis et al.
Summary: The article investigates a complex-valued time-varying linear matrix equation problem and proposes a solution based on CVTVQR decomposition, which has shown effectiveness in numerical simulations and two applications.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Hanan Abdullah Mengash et al.
Summary: This paper introduces a new quantum bird migration optimizer-based node localization technique (QBMA-NL) for addressing the node localization problem in wireless sensor networks. The technique is based on the mating behavior of bird species during breeding seasons, determining the position of unknown nodes using anchor nodes, and deriving an objective function based on RSSI and Euclidean distance. Through simulations, the improved performance of QBMA-NL technique is demonstrated compared to recent node localization techniques.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
S. G. Siddharth et al.
Summary: This paper discusses the use of wireless sensors for early warning and safety improvement in underground operations. By introducing the Improved DV-Hop Localization Algorithm and Modified Distance Vector Hop based Multipath Routing Protocol, this research work enhances localization accuracy and enables faster communication.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Shariq Bashir et al.
Summary: Traditional wireless sensor networks are not suitable for rough terrains, but smart dust technology, which combines many tiny sensors, can be used for remote sensing. However, the small size of smart dust limits the integration of advanced hardware and poses challenges for estimating event locations. In this study, a machine learning-based localization algorithm is proposed and its accuracy is evaluated using a simulator.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Chemistry, Multidisciplinary
Kyungki Kim et al.
Summary: The Internet of Things (IoT) has been rapidly growing in various areas with the advancement of low-power and low-cost wireless technologies. Indoor localization, an important component of smart homes, can be accurately and precisely achieved using LoRa radio technology, showing potential for applications in home environments.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Giulio Maria Bianco et al.
Summary: LoRa technology shows promising results for localization in mountain Search and Rescue operations, with significantly longer transmission distances compared to traditional technologies in tested environments. Through experiments and algorithms, LoRa can achieve relatively accurate person localization, suitable for rescue operations in harsh environments.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yuxiang Lin et al.
Summary: SateLoc is a LoRa localization system that uses satellite images to generate virtual fingerprints, and utilizes a novel multi-gateway combination strategy to improve localization and tracking accuracy. It eliminates the labor-intensive fingerprint acquisition process typically needed in fingerprinting-based approaches.
ACM TRANSACTIONS ON SENSOR NETWORKS
(2021)
Article
Computer Science, Artificial Intelligence
Winfred Ingabire et al.
Summary: The accurate localization for wireless sensor end devices is crucial for IoT applications, such as remote healthcare, where quick response is needed. This study uses LoRaWAN technology with RSSI values and Random Neural Networks to predict unknown position coordinates in Belgium, achieving a high level of accuracy.
Article
Computer Science, Information Systems
Fasih Ullah Khan et al.
Summary: Indoor localization is crucial for various applications in smart cities, requiring the development of a robust and cost-effective real-time system. Recent wireless standards like BLE and LoRa are ideal choices for indoor localization due to their low power consumption. Experimental results show that Wi-Fi is the most accurate, followed by LoRa, with BLE being the least accurate option.
Article
Computer Science, Information Systems
Antonio Lazaro et al.
Summary: This paper introduces a novel room-level localization approach for LoRa backscatter devices, which determines device position by comparing received signal strength and utilizes different machine learning classifiers to enhance system accuracy. In real-life tests, linear discriminant analysis achieved up to 89.7% accuracy.
Article
Computer Science, Information Systems
Cam L. Y. Nguyen et al.
Summary: This study proposes two practical solutions that utilize the diversity offered by RIS-enhanced indoor environments to improve wireless fingerprinting localization estimators. By using supervised learning feature selection methods and noise correlated heuristics, the complexity is reduced and localization accuracy is enhanced, resulting in improved device position acquisition time.
Article
Engineering, Electrical & Electronic
Nuriel Rogel et al.
Summary: This paper presents a novel estimator for LOS TOA and AOA in challenging multipath conditions, which achieves performance advantage compared to reference methods with sufficiently high SNR.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Luca Sciullo et al.
Article
Computer Science, Information Systems
Juan J. Perez-Solano et al.
Review
Computer Science, Information Systems
Messaoud Ahmed Ouameur et al.
INTERNET OF THINGS
(2020)
Article
Robotics
Shaoming He et al.
IEEE TRANSACTIONS ON ROBOTICS
(2019)
Article
Computer Science, Information Systems
Pietro Manzoni et al.
Article
Computer Science, Information Systems
Luis Alberto Martinez Hernandez et al.
Article
Computer Science, Information Systems
Hussein Kwasme et al.
Article
Computer Science, Information Systems
Nico Podevijn et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2018)
Article
Computer Science, Information Systems
Andrea Zanella
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2016)
Article
Computer Science, Theory & Methods
Zheng Yang et al.
ACM COMPUTING SURVEYS
(2013)
Article
Computer Science, Hardware & Architecture
N Bulusu et al.
IEEE PERSONAL COMMUNICATIONS
(2000)
