A systematic review of compressive sensing: Concepts, implementations and applications

M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …

Human–machine interaction in intelligent and connected vehicles: A review of status quo, issues, and opportunities

Z Tan, N Dai, Y Su, R Zhang, Y Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Human–Machine Interaction (HMI) in Intelligent and Connected Vehicles (ICVs) has drawn
great attention in recent years due to its potentially significant positive impacts on the …

Implicit cooperative positioning in vehicular networks

G Soatti, M Nicoli, N Garcia, B Denis… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Absolute positioning of vehicles is based on Global Navigation Satellite Systems (GNSSs)
combined with on-board sensors and high-resolution maps. In cooperative intelligent …

An enhanced information sharing roadside unit allocation scheme for vehicular networks

ER Magsino, IWH Ho - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Sharing up-to-date environment information collected by intelligent connected vehicles is
critical in achieving travel comfort, convenience, and safety in vehicular networks …

ADDSEN: Adaptive data processing and dissemination for drone swarms in urban sensing

D Wu, DI Arkhipov, M Kim, CL Talcott… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
We present ADDSEN middleware as a holistic solution for Adaptive Data processing and
dissemination for Drone swarms in urban SENsing. To efficiently process sensed data in the …

Towards distributed SDN: Mobility management and flow scheduling in software defined urban IoT

D Wu, X Nie, E Asmare, DI Arkhipov… - … on Parallel and …, 2018 - ieeexplore.ieee.org
The growth of Internet of Things (IoT) devices with multiple radio interfaces has resulted in a
number of urban-scale deployments of IoT multinetworks, where heterogeneous wireless …

Review of Detection of Packets Inspection and Attacks in Network Security

SK Jajula, K Tripathi, SB Bajaj - … in Data Mining and Information Security …, 2022 - Springer
In this paper, different types of attacks and their malicious act behind the scenes are
presented. The solutions to defend the victim against attacks are given. In today's scenario …

Multiple target counting and localization using variational Bayesian EM algorithm in wireless sensor networks

B Sun, Y Guo, N Li, D Fang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Localization technologies play an increasingly important role in pervasive applications of
wireless sensor networks. Since the number of targets is usually limited, localization benefits …

Grid evolution: Joint dictionary learning and sparse Bayesian recovery for multiple off-grid targets localization

K You, W Guo, Y Liu, W Wang… - IEEE Communications …, 2018 - ieeexplore.ieee.org
In this letter, we propose an efficient grid evolution multiple targets localization framework for
off-grid targets. First, we propose a more accurate localization model, enabling grid …

Variational Bayesian inference-based counting and localization for off-grid targets with faulty prior information in wireless sensor networks

Y Guo, B Sun, N Li, D Fang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The benefits of compressive sensing (CS) on counting and localization in wireless sensor
networks have already been demonstrated in previous works. However, most existing …