Data transmission in socially aware networks is usually accomplished through opportunistic
peer-to-peer links in a storage-carry-forward way. This way demands nodes to actively …

In socially aware networks, data forwarding is usually performed based on opportunistic
peer-to-peer connections and using a store-and-forward method. This method requires …

Energy efficiency, reliability, and real-time are three key requirements of mission-critical
embedded systems. Existing approaches over emphasize the worst case design of real-time …

The edge computing-based Internet of Thing (IoT) has been growing drastically by taking
advantage of edge computing which provides great assistance for IoT and mobile devices to …

The developments of wearable devices such as Body Sensor Networks (BSNs) have greatly
improved the capability of tele-health industry. Large amount of data will be collected from …

In this paper, we propose a novel, energy aware scheduling algorithm for applications
running on DVS-enabled multiprocessor systems, which exploits variation in execution times …

Recovering the spectral reflectance of a scene is important for scene understanding.
Previous approaches use either specialized filters or controlled illumination where the extra …

Energy-efficient scheduling approaches are critical to battery driven real-time embedded
systems. Traditional energy-aware scheduling schemes are mainly based on the individual …

With the increasing growth of electronic medical data, the difficulties of data sharing among
medical institutions and the leakage of data privacy have become the focus of the public and …

Abstract Accelerating Visual Neural Networks in Edge Computing environments is crucial for
processing image and video data. Visual Neural Networks, including Convolutional Neural …