Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …

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 …

This paper proposes and validates, in the field, an approach for position tracking that is
based on Long-Term Evolution (LTE) downlink signal measurements. A setup for real data …

Precise localization and tracking of moving objects is of great interest for a variety of
emerging applications including the Internet-of-Things (IoT). The localization and tracking …

Load forecasting is crucial for multiple energy management tasks such as scheduling
generation capacity, planning supply and demand, and minimizing energy trade costs. Such …

Fifth-generation (5G) networks providing much higher bandwidth and faster data rates will
allow connecting vast number of stationary and mobile devices, sensors, agents, users …

Localization using the time-of-arrival (ToA) of a wideband signal has the potential to achieve
high accuracy, thereby making it a promising choice for a variety of applications. However, a …

In this paper, an overview of recent developments in received-signal-strength (RSS)-based
localization in wireless sensor networks is presented. Several important practical issues and …

Device-to-device (D2D) communication in cellular networks is a promising concept that
permits cooperation among mobile devices not only to increase data throughput but also to …

The sampling-based Kalman filters have been widely used for GNSS/INS of land vehicle
navigation. Although many nonlinear filters are proposed by employing different …