Collaborative sensing in internet of things: A comprehensive survey
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Transcrowd: weakly-supervised crowd counting with transformers
The mainstream crowd counting methods usually utilize the convolution neural network
(CNN) to regress a density map, requiring point-level annotations. However, annotating …
(CNN) to regress a density map, requiring point-level annotations. However, annotating …
Privacy preservation in blockchain based IoT systems: Integration issues, prospects, challenges, and future research directions
Abstract Modern Internet of Things (IoT) systems are paving their path for a revolutionized
world in which majority of our objects of everyday use will be interconnected. These objects …
world in which majority of our objects of everyday use will be interconnected. These objects …
A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …
H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …
we program and interact with the world. Cloud computing and mobile computing are two …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Blockchain-enabled data collection and sharing for industrial IoT with deep reinforcement learning
With the rapid development of smart mobile terminals (MTs), various industrial Internet of
things (IIoT) applications can fully leverage them to collect and share data for providing …
things (IIoT) applications can fully leverage them to collect and share data for providing …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Vehicular social networks: Enabling smart mobility
Vehicular transportation is an essential part of modern cities. However, the ever increasing
number of road accidents, traffic congestion, and other such issues become obstacles for the …
number of road accidents, traffic congestion, and other such issues become obstacles for the …