A survey of sparse mobile crowdsensing: Developments and opportunities
S Zhao, G Qi, T He, J Chen, Z Liu… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
CrowdBLPS: A blockchain-based location-privacy-preserving mobile crowdsensing system
With the popularization of intelligent terminals, especially current trends, such as “Industrie
4.0” and the Internet of Things, mobile crowdsensing is becoming one of the promising …
4.0” and the Internet of Things, mobile crowdsensing is becoming one of the promising …
Data Quality in Human-Centric Sensing Based Next Generation IoT Systems: A Comprehensive Survey of Models, Issues and Challenges
Human-Centric Sensing (HCS), a novel approach in the evolution of the Next Generation
Internet of Things (NG-IoT), exploits the ubiquity of diverse smart devices, including …
Internet of Things (NG-IoT), exploits the ubiquity of diverse smart devices, including …
MSCR: Multidimensional secure clustered routing scheme in hierarchical wireless sensor networks
For hierarchical wireless sensor network (WSN), the clustered routing protocol can
effectively deal with large-scale application requirements, thereby, how to efficiently elect the …
effectively deal with large-scale application requirements, thereby, how to efficiently elect the …
Identifying correctness data scheme for aggregating data in cluster heads of wireless sensor network based on naive Bayes classification
Wireless sensor network (WSN) has been paid more attention by scholars due to the
practical communication of a system of devices to transfer information gathered from a …
practical communication of a system of devices to transfer information gathered from a …
DeepSensing: A Novel Mobile Crowdsensing Framework With Double Deep Q-Network and Prioritized Experience Replay
X Tao, AS Hafid - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a new and promising paradigm of data collection due to the
growing number of mobile smart devices. It can be utilized in applications of large-scale …
growing number of mobile smart devices. It can be utilized in applications of large-scale …
Q‐learning based flexible task scheduling in a global view for the Internet of Things
With billions of sensor‐based devices connected to the Internet of Things (IoT), it is a pivotal
issue to design an effective task scheduling scheme when the resource of sensor nodes is …
issue to design an effective task scheduling scheme when the resource of sensor nodes is …
An unsupervised detection approach for hardware trojans
With the booming development of the cyber-physical system, human society is much more
dependent on information technology. Unfortunately, like software, hardware is not trusted at …
dependent on information technology. Unfortunately, like software, hardware is not trusted at …
Quality-aware incentive mechanisms under social influences in data crowdsourcing
Incentive mechanism design and quality control are two key challenges in data
crowdsourcing, because of the need for recruitment of crowd users and their limited …
crowdsourcing, because of the need for recruitment of crowd users and their limited …
Multi-objective intelligent clustering routing schema for internet of things enabled wireless sensor networks using deep reinforcement learning
Abstract The Internet of Things (IoT IoT) is built on a foundation of wireless sensor devices
that connect humans and physical objects to the Internet and enable them to interact with …
that connect humans and physical objects to the Internet and enable them to interact with …