Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest …
This book is written for students and researchers in the field of industrial engineering, computer science, operations research, management science, electrical engineering, and …
X Ge, J Ye, Y Yang, Q Li - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
With small cell networks becoming core parts of the fifth generation (5G) cellular networks, it is an important problem to evaluate the impact of user mobility on 5G small cell networks …
Y Yuan, W Yi, W Choi, L Kong - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have been demonstrated to enhance parameter estimation performance for target tracking. In this paper, a prior information based quantizer …
The development of pervasive communication devices and the emergence of the Internet of Things (IoT) have acted as an essential part in the feasibility of smart city initiatives. Wireless …
G Li, L Kong, W Yi, X Li - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
This paper proposes a robust Poisson multi-Bernoulli mixture (R-PMBM) filter immune to the unknown detection probability. In a majority of multi-object scenarios, the prior knowledge of …
J Chen, Q Yu, Y Zhang, HH Chen… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Most wireless sensor networks (WSNs) employ a sleep clock to enable sensor on-off mode to save energy. Since the sleep clock usually works at a relatively low frequency, it is …
J Yan, W Pu, J Dai, H Liu, Z Bao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To facilitate the ability of phased array radar to manage both its search and track (SAT) tasks simultaneously within a predetermined illumination time budget, a resource allocation (RA) …
Target tracking is a typical and important cooperative sensing application of wireless sensor networks. We study it in its most basic form, assuming a binary sensing model in which each …