We propose a Bayesian method for distributed sequential localization of mobile networks
composed of both cooperative agents and noncooperative objects. Our method provides a …

Localization and synchronization are very important in many wireless applications such as
monitoring and vehicle tracking. Utilizing the same time of arrival (TOA) measurements for …

Cooperative localization in agent networks based on interagent time-of-flight measurements
is closely related to synchronization. To leverage this relation, we propose a Bayesian factor …

We introduce a distributed cooperative framework and method for Bayesian estimation and
control in decentralized agent networks. Our framework combines joint estimation of time …

The Internet of Things (IoT) will seamlessly integrate a large number of densely deployed
heterogeneous devices and will enable new location-aware services. However, fine-grained …

The direct position determination (DPD) algorithms have been shown to outperform
conventional two-step methods in localization accuracy under poor observation conditions …

A reliable, accurate, and affordable positioning service is highly required in wireless
networks. High-resolution estimates of distance and direction data are available in most …

Location awareness is a key enabling technology for many applications and services of the
Internet of Things (IoT). Since densely deployed heterogeneous agents in IoT typically have …

This review addresses the role of synchronization in the radio localization problem, and
provides a comprehensive overview of recent developments suitable for current and future …

The problem of uncooperative source localization and synchronization in asynchronous
sensor networks has been considered previously in a centralized manner, where all the raw …