Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …

Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer
from disadvantages such as deployment location limitation, geographical distance, as well …

Mobile crowdsensing (MCS) is a crucial component in the Industrial Internet of Things (IIoT),
mainly due to its role in collecting data and enhancing applications. Nonetheless, it faces …

With the rapid growth of smartphones, mobile crowdsensing emerges as a new paradigm
which takes advantage of the pervasive sensor-embedded smartphones to collect data …

Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …

The Mobile Crowd-sensing Network is a novel cyber–physical–social network which has
received great attention recently and can be used as a powerful tool to monitor the …

Abstract In Mobile Crowd Sensing (MCS), the platform publishes sensing tasks with the
requirements of location, time and data attributes and hires participants to perform sensing …

Task offloading is a promising technology to exploit the available resources in edge cloud
efficiently. Many incentive mechanisms for offloading systems have been proposed …

Device-to-device (D2D) communications can combine the superiorities of both the cellular
network and the Ad hoc network, and it is an efficient way to improve the capacity of short …

This paper describes the parameterisation, implementation and evaluation of floating-point
adders and multipliers for FPGAs. We have developed a method, based on the Handel-C …