Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …

Node self-localization is a key research topic for wireless sensor networks (WSNs). There
are two main algorithms, the triangulation method and the maximum likelihood (ML) …

Point positioning and direction of arrival (DOA) localization require separate estimators,
depending on whether the source is near or distant from the sensors. The use of modified …

Cooperative localization (also known as sensor network localization) using received signal
strength (RSS) measurements when the source transmit powers are different and unknown …

Localization by a sensor network has been extensively studied. In this paper, we address
the source localization problem by using time-difference-of-arrival (TDOA) and frequency …

A new cooperative received signal strength-based localization algorithm is proposed which
employs relative error estimation and semidefinite programming (SDP). First, the log-normal …

We investigate the localization of multiple signal sources based on sensors performing time-
of-arrival (TOA) measurement in wireless sensor networks. Moving beyond the widely …

This correspondence considers the problem of locating multiple disjoint sources using time
differences of arrival (TDOAs) and frequency differences of arrival (FDOAs) in the presence …

Energy-based source localization is an important problem in wireless sensor networks
(WSNs), which has been studied actively in the literature. Numerous localization algorithms …

This paper focuses on the development and analysis of algebraic solution for source
localization using angles of arrival (AOAs) in the modified polar representation (MPR) …