Weighted localization in mobile wireless networks

Abstract

Localization of wireless devices is a crucial requirement for many emerging applications such as environmental monitoring, intelligent transportation, home automation, health‐care monitoring, and social networking. In this letter, we propose AWL a new aggregate weighted localization algorithm for mobile wireless networks. The proposed algorithm is distributed and requires low computational and communication overheads enabling its use in resource‐limited devices.

Indoor proximity detection: The case study of a smart pet door

“…Unfortunately, the GPS signal cannot be received indoor; therefore, different technologies and approaches have been studied, such as time of arrival (ToA), time difference of arrival (TDoA), and angle of arrival (AoA) . In addition, several localization techniques have been proposed so far, which led to a large variety of algorithms aiming at obtaining nodes locations with low computational costs and restricted dataset . In such solutions, a small number of nodes, with known positions (also known by the name of anchors or reference points) advertise their locations in order to assist nodes with unknown locations (also referred to as unknown or normal nodes) to estimate their coordinates.…”