A survey of energy-efficient compression and communication techniques for multimedia in resource constrained systems

T Ma, M Hempel, D Peng… - … Communications Surveys & …, 2012 - ieeexplore.ieee.org
Advances in wireless multimedia communication technologies enable new types of
pervasive and ubiquitous applications such as mobile health care, environmental …

A survey of energy-efficient communication protocols with QoS guarantees in wireless multimedia sensor networks

S Li, JG Kim, DH Han, KS Lee - Sensors, 2019 - mdpi.com
In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a
prominent technique for delivering multimedia information such as still images and videos …

IoT multimedia sensors for energy efficiency and security: A review of QoS aware and methods in wireless multimedia sensor networks

MA Matheen, S Sundar - International Journal of Wireless Information …, 2022 - Springer
In this era of IoT, due to the fast Advancements in sensor technology and the availability of
low-cost hardware, the development of Wireless Multimedia Sensor Networks (WMSNs) has …

A systematic review of hardware-accelerated compression of remotely sensed hyperspectral images

A Altamimi, B Ben Youssef - Sensors, 2021 - mdpi.com
Hyperspectral imaging is an indispensable technology for many remote sensing
applications, yet expensive in terms of computing resources. It requires significant …

[PDF][PDF] Distributed video coding: trends and perspectives

F Dufaux, W Gao, S Tubaro, A Vetro - EURASIP Journal on Image and …, 2010 - Springer
This paper surveys recent trends and perspectives in distributed video coding. More
specifically, the status and potential benefits of distributed video coding in terms of coding …

[PDF][PDF] Compressive differentially private federated learning through universal vector quantization

S Amiri, A Belloum, S Klous… - AAAI Workshop on Privacy …, 2021 - ppai21.github.io
Collaborative and federated machine learning is an essential vehicle for achieving privacy
preserving machine learning. By not forcing participants to share their private datasets, we …

Distributed distortion-rate optimized compressed sensing in wireless sensor networks

M Leinonen, M Codreanu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper addresses lossy distributed source coding for acquiring correlated sparse
sources via compressed sensing (CS) in wireless sensor networks. Noisy CS measurements …

C-RAN with hybrid RF/FSO fronthaul links: Joint optimization of fronthaul compression and RF time allocation

M Najafi, V Jamali, DWK Ng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper considers the uplink of a cloud radio access network (C-RAN) comprised of
several multi-antenna remote radio units (RUs) which compress the signals that they receive …

A survey of image compression algorithms for visual sensor networks

A Mammeri, B Hadjou… - International Scholarly …, 2012 - Wiley Online Library
With the advent of visual sensor networks (VSNs), energy‐aware compression algorithms
have gained wide attention. That is, new strategies and mechanisms for power‐efficient …

Compressed sensing with applications in wireless networks

M Leinonen, M Codreanu… - Foundations and Trends …, 2019 - nowpublishers.com
Sparsity is an attribute present in a myriad of natural signals and systems, occurring either
inherently or after a suitable projection. Such signals with lots of zeros possess minimal …