Indoor Location Sensing with Invariant Wi-Fi Received Signal Strength Fingerprinting [PDF]
Sensors, 2016 A method of location fingerprinting based on the Wi-Fi received signal strength (RSS) in an indoor environment is presented. The method aims to overcome the RSS instability due to varying channel disturbances in time by introducing the concept of ...
Mohd Nizam Husen, Sukhan Lee
doaj +2 more sources
Geometric Algorithm for Received Signal Strength Based Mobile Positioning [PDF]
Radioengineering, 2005 Mobile positioning is one of the fastest growing areas for thedevelopment of new technologies, services and applications. This paperdescribes a simple and efficient geometric algorithm using receivedsignal strength measurements extracted from at least ...
J. Duha, P. Cepel, P. Brida
doaj +2 more sources
Enhancing Received Signal Strength-Based Localization through Coverage Hole Detection and Recovery [PDF]
Sensors, 2018 In wireless sensor networks (WSNs), Radio Signal Strength Indicator (RSSI)-based localization techniques have been widely used in various applications, such as intrusion detection, battlefield surveillance, and animal monitoring.
Shuangjiao Zhai +8 more
doaj +2 more sources
Weighted Least Squares Techniques for Improved Received Signal Strength Based Localization [PDF]
Sensors, 2011 The practical deployment of wireless positioning systems requires minimizing the calibration procedures while improving the location estimation accuracy.
José R. Casar +2 more
doaj +2 more sources
Energy Analysis of Received Signal Strength Localization in Wireless Sensor Networks [PDF]
Radioengineering, 2011 This paper presents the investigation of energy demands during localization of wireless nodes in ad-hoc networks. We focus on the method based on the received signal strength (RSS) to estimate the distances between the nodes. To deal with the uncertainty
D. Girbau +4 more
doaj +2 more sources
R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network [PDF]
Sensors, 2013 The body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications. The services in BAN usually have a high requirement on security, especially for the medical diagnosis.
Yang Wu +3 more
doaj +2 more sources
Time series classification of radio signal strength for qualitative estimate of UAV motion
Machine Learning with Applications, 2021 Many common navigation solutions fall short when an aircraft’s GPS signal is either jammed or spoofed. This is typically due to the iterative nature of the estimation process, which requires an acceptably accurate initial estimate, or due to the ...
Samuel Teague, Javaan Chahl
doaj +1 more source
Received signal strength reconstruction using pix2pix generative adversarial network
Electronics Letters, 2023 Positioning technology based on received signal strength (RSS) fingerprints has emerged as a vital research topic in indoor localization due to its high accuracy and low cost.
Haochang Wu, Hao Qin, Xingqi Zhang
doaj +1 more source
Received Signal Strength Based Gait Authentication [PDF]
IEEE Sensors Journal, 2018 Expansion of wireless body area networks applications, such as health-care, m-banking, and others has lead to vulnerability of privacy and personal data. An effective and unobtrusive natural method of authentication is therefore a necessity in such applications. Accelerometer-based gait recognition has become an attractive solution, however, continuous
Marshed Mohamed, Michael Cheffena
openaire +2 more sources
LoRaWAN‐implemented node localisation based on received signal strength indicator
IET Wireless Sensor Systems, 2023 Long Range Wireless Area Network (LoRaWAN) provides desirable solutions for Internet of Things (IoT) applications that require hundreds or thousands of actively connected devices (nodes) to monitor the environment or processes.
Ibrahim Aqeel +5 more
doaj +1 more source