Best practice in RSS measurements and ranging
A Zanella - IEEE Communications Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The term “ranging” is often used to indicate the operations that make it possible to estimate
the distance between two nodes by processing some signals generated and/or received by …
the distance between two nodes by processing some signals generated and/or received by …
Metalocalization: Reconfigurable intelligent surface aided multi-user wireless indoor localization
The received signal strength (RSS) based technique is extensively utilized for localization in
the indoor environments. Since the RSS values of neighboring locations may be similar, the …
the indoor environments. Since the RSS values of neighboring locations may be similar, the …
[HTML][HTML] A review of advanced localization techniques for crowdsensing wireless sensor networks
A Coluccia, A Fascista - Sensors, 2019 - mdpi.com
The wide availability of sensing modules and computing capabilities in modern mobile
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …
RSSI-based distributed self-localization for wireless sensor networks used in precision agriculture
P Abouzar, DG Michelson… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we propose a received signal strength indication-based distributed Bayesian
localization algorithm based on message passing to solve the approximate inference …
localization algorithm based on message passing to solve the approximate inference …
On the hybrid TOA/RSS range estimation in wireless sensor networks
A Coluccia, A Fascista - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
Distance estimation, which arises in many applications and especially in range-based
localization, is addressed for joint received signal strength (RSS) and time of arrival (TOA) …
localization, is addressed for joint received signal strength (RSS) and time of arrival (TOA) …
A new deep learning-based distance and position estimation model for range-based indoor localization systems
Many fine-grained indoor localization systems rely on accurate distance estimation between
anchors and a target node to determine its exact position. The Received Signal Strength …
anchors and a target node to determine its exact position. The Received Signal Strength …
RSS-based localization via Bayesian ranging and iterative least squares positioning
A Coluccia, F Ricciato - IEEE Communications letters, 2014 - ieeexplore.ieee.org
In the framework of range-based localization from {Received Signal Strength}(RSS)
measurements, we propose a novel Bayesian formulation of the ranging problem alternative …
measurements, we propose a novel Bayesian formulation of the ranging problem alternative …
[HTML][HTML] Hybrid TOA/RSS range-based localization with self-calibration in asynchronous wireless networks
A Coluccia, A Fascista - Journal of Sensor and Actuator Networks, 2019 - mdpi.com
The paper addresses the problem of localization based on hybrid received signal strength
(RSS) and time of arrival (TOA) measurements, in the presence of synchronization errors …
(RSS) and time of arrival (TOA) measurements, in the presence of synchronization errors …
Automatic precision control positioning for wireless sensor network
By deploying a radio propagation model, we will be able to deduce the distance between
the transmitter and the receiver based on received signal strength (RSS). This method is …
the transmitter and the receiver based on received signal strength (RSS). This method is …
A cognitive algorithm for received signal strength based localization
F Bandiera, A Coluccia, G Ricci - IEEE Transactions on signal …, 2015 - ieeexplore.ieee.org
In this paper, we propose a method to localize a wireless and stationary blind node based
on received signal strength measurements; the positioning scheme relies on the statistical …
on received signal strength measurements; the positioning scheme relies on the statistical …