Localization techniques are becoming key to add location context to the Internet-of-Things
(IoT) data without human perception and intervention. Meanwhile, the newly emerged low …

In this paper, we propose new approaches based on convex optimization to address the
received signal strength (RSS)-based noncooperative and cooperative localization …

In this letter, we consider the received-signal-strength (RSS) based localization problem with
unknown transmit power and unknown path loss exponent (PLE). For the case of unknown …

Source localization based on signal strength measurements has become very popular due
to its practical simplicity. However, the severe nonlinearity and non-convexity make the …

Due to low complexity, received signal strength source localization in wireless sensor
network has gained upsurge of interests in recent years. In this letter, we consider the path …

Transfer learning algorithms (TLAs) are often used to solve the distribution discrepancy
issue in fingerprint-based indoor localization. However, existing TLAs cannot react well to …

This correspondence studies the received signal strength-based localization problem when
the transmit power or path-loss exponent is unknown. The corresponding maximum …

The Internet of Things (IoT) has started to empower the future of many industrial and mass-
market applications. Localization techniques are becoming key to add location context to IoT …

Wi-Fi fingerprint-based localization has attracted significant research interest recently.
Previous works in this area mainly focus on locating an individual user, whereas the …

The problem of received signal strength (RSS) source localization in wireless sensor
networks has raised attention in recent years due to its low complexity. However, the …