Adaptive hybrid model-enabled sensing system (HMSS) for mobile fine-grained air pollution estimation
Fine-grained city-scale outdoor air pollution maps provide important environmental
information for both city managers and residents. Installing portable sensors on vehicles (eg …
information for both city managers and residents. Installing portable sensors on vehicles (eg …
DeliverSense: Efficient delivery drone scheduling for crowdsensing with deep reinforcement learning
Delivery drones provide a promising sensing platform for Mobile Crowdsensing (MCS) due
to their high mobility and large-scale deployment. However, due to limited battery lifetime …
to their high mobility and large-scale deployment. However, due to limited battery lifetime …
Microstructure design and optimization of high-sensitivity interdigital capacitive humidity sensor based on uncertainty analysis
D Li, A Chen, R Na, J **g, C Hu, D Zheng, S Wang - Measurement, 2023 - Elsevier
The microstructure of the interdigital capacitive humidity sensor plays a critical role in
achieving high sensitivity in measurements. Performing a quantitative evaluation to assess …
achieving high sensitivity in measurements. Performing a quantitative evaluation to assess …
TRACT: Towards large-scale crowdsensing with high-efficiency swarm path planning
Unmanned Aerial Vehicle (UAV) sensing swarms have grown in popularity because of their
advantages of low-cost, high mobility, and high maneuverability in crowdsensing. The …
advantages of low-cost, high mobility, and high maneuverability in crowdsensing. The …
A platform-based incentive mechanism for autonomous vehicle crowdsensing
In this article, we present an incentive mechanism for Vehicular Crowdsensing in the context
of autonomous vehicles (AVs). In particular, we propose a solution to the problem of sensing …
of autonomous vehicles (AVs). In particular, we propose a solution to the problem of sensing …
A reliable and cost-efficient code dissemination scheme for smart sensing devices with mobile vehicles in smart cities
The smart cities constitute sensing devices that collect a large amount of data. The sensor-
based devices are widely using software-defined technology. The adaptation of software …
based devices are widely using software-defined technology. The adaptation of software …
MTRFN: Multiscale temporal receptive field network for compressed video action recognition at edge servers
L He, M Zhang, S Zhang, L Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the wide deployment of Internet of Things monitoring terminals, a tremendous number
of videos are accumulated continuously. Big data processing and analysis-based action …
of videos are accumulated continuously. Big data processing and analysis-based action …
SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing
This paper presents an incentive mechanism for vehicular crowdsensing (VCS). Here, a
platform selects a set of spots or Places of sensing Interest (PsI) and outsources the …
platform selects a set of spots or Places of sensing Interest (PsI) and outsources the …
Smart public transportation sensing: enhancing perception and data management for efficient and safety operations
The use of cloud computing, big data, IoT, and mobile applications in the public
transportation industry has resulted in the generation of vast and complex data, of which the …
transportation industry has resulted in the generation of vast and complex data, of which the …
Incentivizing mobility of multi-agent vehicle swarms with deep reinforcement learning for sensing coverage optimization
Mobile Crowdsensing Systems (MCS) often utilize non-dedicated mobile agents (eg,
ridesharing cars) equipped with sensors to collect urban data as they move around a city …
ridesharing cars) equipped with sensors to collect urban data as they move around a city …