Underwater surveillance has traditionally been carried out by means of surface and undersea manned vessels equipped with advanced sensor systems. This approach is often …
J Yan, S Bi, YJ Zhang, M Tao - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to enhance the computing capability of hardware-constrained wireless devices (WDs). In this …
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 …
Spectrum sensing is a key function of cognitive radio to prevent the harmful interference with licensed users and identify the available spectrum for improving the spectrum's utilization …
Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications-such as data mining, web …
D Ciuonzo, PS Rossi… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, we address the problem of distributed detection of a noncooperative (unknown emitted signal) target with a wireless sensor network. When the target is present, sensors …
We consider the problem of distributed learning, where a network of agents collectively aim to agree on a hypothesis that best explains a set of distributed observations of conditionally …
RS Blum, SA Kassam, HV Poor - Proceedings of the IEEE, 1997 - ieeexplore.ieee.org
Following the foundational work that established basic ideas for optimum distributed defection schemes using multiple sensors (as reviewed in Part I of this two-part review) …
In this note we consider the following problem. Suppose a set of sensors is jointly trying to estimate a process. One sensor takes a measurement at every time step and the …