When mobile crowd sensing meets traditional industry

L Shu, Y Chen, Z Huo, N Bergmann, L Wang - Ieee Access, 2017 - ieeexplore.ieee.org
With the evolution of mobile phone sensing and wireless networking technologies, mobile
crowd sensing (MCS) has become a promising paradigm for large-scale sensing …

A survey on secure computation based on homomorphic encryption in vehicular ad hoc networks

X Sun, FR Yu, P Zhang, W Xie, X Peng - Sensors, 2020 - mdpi.com
In vehicular ad hoc networks (VANETs), the security and privacy of vehicle data are core
issues. In order to analyze vehicle data, they need to be computed. Encryption is a common …

Surface monitoring of road pavements using mobile crowdsensing technology

F Abbondati, SA Biancardo, R Veropalumbo… - Measurement, 2021 - Elsevier
Pavement-surface characteristics should be considered during road maintenance for safe
and comfortable driving. A detailed and up-to-date report of road-pavement network …

Disentangling data discrepancies with integrated population models

SP Saunders, MT Farr, AD Wright, CA Bahlai… - Ecology, 2019 - Wiley Online Library
A common challenge for studying wildlife populations occurs when different survey methods
provide inconsistent or incomplete inference on the trend, dynamics, or viability of a …

A study on the influence of speed on road roughness sensing: The SmartRoadSense case

G Alessandroni, A Carini, E Lattanzi, V Freschi… - Sensors, 2017 - mdpi.com
SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road
surface. Using the sensors of a smartphone, SmartRoadSense monitors the vertical …

Context-aware computing for mobile crowd sensing: A survey

H Vahdat-Nejad, E Asani, Z Mahmoodian… - Future Generation …, 2019 - Elsevier
Today, the distribution of people with smart mobile devices has provided the opportunity for
mobile crowd sensing. Several mobile crowd sensing systems have led to the collection of …

Efficient processing of geospatial mhealth data using a scalable crowdsensing platform

R Kraft, F Birk, M Reichert, A Deshpande, W Schlee… - Sensors, 2020 - mdpi.com
Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to
gather environmental data (eg, noise). Importantly, these devices can be connected to each …

A task recommendation framework for heterogeneous mobile crowdsensing

J Wang, J Liu, Z Zhao, G Zhao - The Journal of Supercomputing, 2021 - Springer
Aiming at the problems of low data quality and high incentive costs caused by the low
enthusiasm of participants in mobile crowd sensing, a new task recommendation framework …

PAVS: A new privacy-preserving data aggregation scheme for vehicle sensing systems

C Xu, R Lu, H Wang, L Zhu, C Huang - Sensors, 2017 - mdpi.com
Air pollution has become one of the most pressing environmental issues in recent years.
According to a World Health Organization (WHO) report, air pollution has led to the deaths of …

Mobile crowdsensing for road sustainability: Exploitability of publicly-sourced data

LC Klopfenstein, S Delpriori, P Polidori… - … Review of Applied …, 2020 - Taylor & Francis
This paper examines the opportunities and the economic benefits of exploiting publicly-
sourced datasets of road surface quality. Crowdsourcing and crowdsensing initiatives …