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Mobile crowdsensing with mobile agents [PDF]
Autonomous Agents and Multi-Agent Systems, 2015 We introduce mobile agents for mobile crowdsensing. Crowdsensing campaigns are designed through different roles that are implemented as mobile agents. The role-based tasks of mobile agents include collecting data, analyzing data and sharing data in the campaign.
Leppänen, T. (Teemu) +4 more
openaire +2 more sources
PSI‐CA‐Based Vehicle Selection Scheme for Data Sharing in Internet of Vehicles
Security and Communication Networks, Volume 2023, Issue 1, 2023., 2023 In recent years, the development of the Internet of Vehicles (IoV) has led to an increase in the demand for data sharing services for the IoV. In the era of big data, safe and convenient data sharing services for IoV are inseparable from the support of reliable data.
Zhengtao Jiang +5 more
wiley +1 more source
Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN [PDF]
, 2013 Mobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google Play, Apple App Store have transformed mobile phones into intelligent computing devices by the means of applications that can ...
Georgakopoulos, Dimitrios +3 more
core +3 more sources
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
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform
Sensors, 2020 Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data ...
Robin Kraft +9 more
doaj +1 more source
Towards Efficient Federated Learning Using Agile Aggregation in Internet of Vehicles
Security and Communication Networks, Volume 2023, Issue 1, 2023., 2023 Federated learning is an enabling technology for the services in Internet of vehicles because it can effectively alleviate privacy issues in data circulation and diversified intelligent applications. However, existing federated learning methods still confront the problem of low computational efficiency when applied to the scenario of high‐dynamic ...
Xin He +6 more
wiley +1 more source
ATM: Attribute-Based Privacy-Preserving Task Assignment and Incentive Mechanism for Crowdsensing
IEEE Access, 2021 Crowdsensing is a practical component in Internet-of-Things, in which task requesters outsource sensing tasks to workers by a crowdsensing server (CS). Task assignment and incentive design are two essential parts of crowdsensing. However, due to the semi-
Xiaoru Xu, Zhihao Yang, Yunting Xian
doaj +1 more source
IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
IEEE Access, 2021 The proliferation of the Internet of Things (IoT) has paved the way for the future of smart cities. The large volume of data over the IoT can enable decision-making for various applications such as smart transportation, smart parking, and smart lighting.
Kun Wang +5 more
doaj +1 more source
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
IEEE Access, 2019 With the widespread use of smartphones and the continuous increase of their capabilities, a new sensing paradigm has emerged: mobile crowdsensing. The concept of crowdsensing implies the reliance on the crowd to perform sensing tasks and collect data ...
Sawsan Abdul Rahman +2 more
doaj +1 more source
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
, 2021 Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from privacy concerns and fair reward distribution. Moreover, existing privacy-preserving MCS solutions usually focus on the privacy protection of data collection rather than ...
Zhao, Bowen, Liu, Ximeng, Chen, Wei-neng
openaire +2 more sources