Results 61 to 70 of about 5,365 (199)
Development of User-Participatory Crowdsensing System for Improved Privacy Preservation
Future Internet, 2020 Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is ...
Mihui Kim, Junhyeok Yun
doaj +1 more source
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
, 2015 Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to collectively sense and perform computing tasks in an unprecedented scale ...
Belkin, Mikhail +4 more
core +1 more source
, 2014 Recent developments in sensing technologies, mobile devices and context-aware user interfaces have made it possible to represent information fusion and situational awareness as a conversational process among actors - human and machine agents - at or near
Bakdash, Jonathan Z. +5 more
core +2 more sources
Smart Cities, Urban Transportation and Air Quality: A Decade of Literature on Italian Largest Cities
Journal of Economic Surveys, EarlyView.ABSTRACT Traffic congestion and its associated negative impacts on economic performance and environmental sustainability, particularly air quality, have long plagued urban centers. This article reviews the technologies and policies adopted by major Italian cities to address these issues, focusing on interventions from 2014 to 2024. Through a keyword co‐
Vittoria Iannuzzi, Matteo Migheli
wiley +1 more source
IEEE Access, 2020 Mobile CrowdSensing (MCS) has emerged as a valuable framework for large scale mapping of phenomena of interest, thanks to the ever-growing advances and pervasiveness of sensor-rich mobile devices.
Maggie Ezzat Gaber Gendy +2 more
doaj +1 more source
Detecting Location Fraud in Indoor Mobile Crowdsensing
, 2017 Mobile crowdsensing allows a large number of mobile devices to measure phenomena of common interests and form a body of knowledge about natural and social environments.
Tahoun, Ezzeldin, Xu, Qiang, Zheng, Rong
core +1 more source
IET Blockchain, Volume 6, Issue 1, January/December 2026.The study presents C3Crowd$C^3Crowd$, a blockchain‐based framework designed to enhance security in crowd management through decentralization, cryptography and smart contracts. It uses reputation management and a credit‐based incentive model to encourage user participation while safeguarding sensitive crowd data.
Sukanta Chakraborty, Abhishek Majumder
wiley +1 more source
Anchor-Assisted and Vote-Based Trustworthiness Assurance in Smart City Crowdsensing
IEEE Access, 2016 Smart city sensing calls for crowdsensing via mobile devices that are equipped with various built-in sensors. As incentivizing users to participate in distributed sensing is still an open research issue, the trustworthiness of crowdsensed data is ...
Maryam Pouryazdan +3 more
doaj +1 more source
Detecting Mobile Crowdsensing Context in the Wild [PDF]
2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019 Understanding the sensing context of raw data is crucial for assessing the quality of large crowdsourced spatio-temporal datasets and supporting context-augmented personal trajectories. Detecting sensing contexts in the wild is a challenging task and requires features from smartphone sensors that are not always available.
Agarwal, Rachit +4 more
openaire +2 more sources
Complexity, Volume 2026, Issue 1, 2026.This paper investigates the consensus problem in leader–follower connected vehicle systems (CVSs) under deception attacks—including coordinated position, velocity, and acceleration attacks as well as delays and disturbances. Centralized and decentralized event‐triggered control strategies are proposed, allowing follower actuators to update at ...
Azmat Ullah Khan Niazi +5 more
wiley +1 more source