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 paper, we propose a new approach based on convex optimization to address the
received signal strength (RSS)-based cooperative localization problem in wireless sensor …

In this paper, we propose a distributed gradient algorithm for received signal strength based
target localization using only quantized data. The Maximum Likelihood of the Quantized …

In this paper, we consider the nonlinear least squares (NLLSs) problems in adaptive
networks, where a collection of nodes with adaptation ability by learning are required to …

In many network applications such as surveillance systems, it is crucial to detect the target
and estimate its location. Distributed processing algorithms are capable of providing fast …

We address the received signal strength (RSS) based target localization problem in large-
scale cooperative wireless sensor networks (WSNs). Using the noisy RSS measurements …

In this work, we address the target localization problem in large-scale cooperative wireless
sensor networks (WSNs). Using the noisy range measurements, extracted from the received …

This thesis project has been done with Crownstone, a subsidiary company of Almende. One
of their project goals was to develop indoor localization algorithms to determine room-level …

Radio frequency (RF) wireless systems generate large amounts of data every day on the
signal content and the received signal strength (RSS) information. However, limited efforts …

This thesis addresses the target localization problem in wireless sensor networks (WSNs) by
employing statistical modeling and convex relaxation techniques. The first and the second …