A systematic review of localization in WSN: Machine learning and optimization‐based approaches
P Yadav, SC Sharma - International journal of communication …, 2023 - Wiley Online Library
In recent years, wireless sensor networks (WSNs) have been widely used in various
applications. The localization problem has been identified as one of the biggest problems …
applications. The localization problem has been identified as one of the biggest problems …
Machine learning-enabled LOS/NLOS identification for MIMO systems in dynamic environments
Discriminating between line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, or LOS
identification, is important for a variety of purposes in wireless systems, including localization …
identification, is important for a variety of purposes in wireless systems, including localization …
Collaborative sensor network localization: Algorithms and practical issues
Emerging communication network applications including fifth-generation (5G) cellular and
the Internet-of-Things (IoT) will almost certainly require location information at as many …
the Internet-of-Things (IoT) will almost certainly require location information at as many …
Unveiling the cutting edge: A comprehensive survey of localization techniques in WSN, leveraging optimization and machine learning approaches
Sensor node localization is an important feature of many applications, including wireless
sensor networks and location-based services. The accurate localization of sensor nodes …
sensor networks and location-based services. The accurate localization of sensor nodes …
Clutter suppression, time-frequency synchronization, and sensing parameter association in asynchronous perceptive vehicular networks
Significant challenges remain for realizing precise positioning and velocity estimation in
practical perceptive vehicular networks (PVN) that rely on the emerging integrated sensing …
practical perceptive vehicular networks (PVN) that rely on the emerging integrated sensing …
Cooperative simultaneous localization and synchronization in mobile agent networks
Cooperative localization in agent networks based on interagent time-of-flight measurements
is closely related to synchronization. To leverage this relation, we propose a Bayesian factor …
is closely related to synchronization. To leverage this relation, we propose a Bayesian factor …
Secure location of things (SLOT): Mitigating localization spoofing attacks in the Internet of Things
The rise of geo-spatial location-based applications for the Internet of Things introduces new
location spoofing security risks. To overcome the threat of malicious spoofing attacks, we …
location spoofing security risks. To overcome the threat of malicious spoofing attacks, we …
Target detection in underwater sensor networks by fusion of active and passive measurements
Underwater target detection plays an important role in the ocean exploration. However, the
strong noise and weak communication properties of underwater environment make it …
strong noise and weak communication properties of underwater environment make it …
Geo-spatial location estimation for Internet of Things (IoT) networks with one-way time-of-arrival via stochastic censoring
We develop new algorithms for geo-spatial location estimation for Internet of Things (IoT)
networks by utilizing a one way time of arrival (OW-TOA) approach. We first demonstrate the …
networks by utilizing a one way time of arrival (OW-TOA) approach. We first demonstrate the …
Angular information-based NLOS/LOS identification for vehicle to vehicle MIMO system
Distinguishing between line-of-sight (LOS) and non-LOS (NLOS) based on measured
channel impulse responses is a fundamental problem for localization systems, as well as …
channel impulse responses is a fundamental problem for localization systems, as well as …