A city-wide real-time traffic management system: Enabling crowdsensing in social Internet of vehicles
As an emerging platform based on ITS, SIoV is promising for applications of traffic
management and road safety in smart cities. However, the endto-end delay is large in store …
management and road safety in smart cities. However, the endto-end delay is large in store …
[HTML][HTML] Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
Effectively monitoring urban air quality, and analyzing the source terms of the main
atmospheric pollutants is important for public authorities to take air quality management …
atmospheric pollutants is important for public authorities to take air quality management …
Towards a practical crowdsensing system for road surface conditions monitoring
AS El-Wakeel, J Li, A Noureldin… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) infrastructure, systems, and applications demonstrate potential in
serving smart city development. Crowdsensing approaches for road surface conditions …
serving smart city development. Crowdsensing approaches for road surface conditions …
A task-oriented user selection incentive mechanism in edge-aided mobile crowdsensing
The designs of existing incentive mechanisms in mobile crowdsensing (MCS) are primarily
platform-centered or user-centered, while overlooking the multidimensional consideration of …
platform-centered or user-centered, while overlooking the multidimensional consideration of …
BuildSenSys: Reusing Building Sensing Data for Traffic Prediction With Cross-Domain Learning
With the rapid development of smart cities, smart buildings are generating a massive amount
of building sensing data by the equipped sensors. Indeed, building sensing data provides a …
of building sensing data by the equipped sensors. Indeed, building sensing data provides a …
Enabling data trustworthiness and user privacy in mobile crowdsensing
Ubiquitous mobile devices with rich sensors and advanced communication capabilities have
given rise to mobile crowdsensing systems. The diverse reliabilities of mobile users and the …
given rise to mobile crowdsensing systems. The diverse reliabilities of mobile users and the …
User recruitment for enhancing data inference accuracy in sparse mobile crowdsensing
Sparse mobile crowdsensing is a practical paradigm for large sensing systems, which
recruits a small number of users to sense data from only a few subareas and, then, infers the …
recruits a small number of users to sense data from only a few subareas and, then, infers the …
A privacy-preserving and reputation-based truth discovery framework in mobile crowdsensing
In mobile crowdsensing (MCS), truth discovery (TD) plays an important role in sensing task
completion. Most of the existing studies focus on the privacy preservation of mobile users …
completion. Most of the existing studies focus on the privacy preservation of mobile users …
Dynamic user recruitment with truthful pricing for mobile crowdsensing
Mobile CrowdSensing (MCS) is a promising paradigm that recruits users to cooperatively
perform various sensing tasks. In most realistic scenarios, users dynamically participate in …
perform various sensing tasks. In most realistic scenarios, users dynamically participate in …
A secure drone-to-drone communication and software defined drone network-enabled traffic monitoring system
This paper proposes a novel lightweight security-enabled distributed software-defined drone
network (SDDN) for traffic monitoring. Security of drone/Unmanned Aerial Vehicles (UAV) …
network (SDDN) for traffic monitoring. Security of drone/Unmanned Aerial Vehicles (UAV) …