A survey of energy-efficient compression and communication techniques for multimedia in resource constrained systems
Advances in wireless multimedia communication technologies enable new types of
pervasive and ubiquitous applications such as mobile health care, environmental …
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 …
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 …
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 …
applications, yet expensive in terms of computing resources. It requires significant …
[PDF][PDF] Distributed video coding: trends and perspectives
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 …
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
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 …
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 …
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
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 …
several multi-antenna remote radio units (RUs) which compress the signals that they receive …
A survey of image compression algorithms for visual sensor networks
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 …
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 …
inherently or after a suitable projection. Such signals with lots of zeros possess minimal …