Results 101 to 110 of about 5,841 (261)

Multi-Level Two-Sided Rating Protocol Design for Service Exchange Contest Dilemma in Crowdsensing

IEEE Access, 2019
Strategic users in a service exchange application of crowdsensing are apt to exhibit malicious behaviors such as greed, free-ride, and attack, resulting in the phenomenon that no user is willing to serve others and low social utility is obtained in ...
Jianfeng Lu, Shasha Yang, Zhao Zhang, Jianmin Han, Hao Peng, zhaolong Hu, Tian Wang   +6 more
doaj   +1 more source

ParticipAct: A Large-Scale Crowdsensing Platform [PDF]

, 2016
In recent years, the widespread availability of sensor-provided smartphones has enabled the possibility of harvesting large quantities of data in urban areas exploiting user devices, so enabling the so-called crowdsensing that allows to realize complex ...
FOSCHINI, LUCA, CARDONE, GIUSEPPE, CORRADI, ANTONIO, IANNIELLO, RAFFAELE   +3 more
core   +1 more source

Edge Computing Architecture for Mobile Crowdsensing

IEEE Access, 2018
Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic, Aleksandar Antonic, Ivana Podnar Zarko   +2 more
openaire   +3 more sources

A crowdsensing method for water resource monitoring in smart communities

, 2019
Crowdsensing aims to empower a large group of individuals to collect large amounts of data using their mobile devices, with the goal of sharing the collected data.
Banda, Clara Mloza
core  

TripSense: A Trust-Based Vehicular Platoon Crowdsensing Scheme with Privacy Preservation in VANETs

Sensors, 2016
In this paper, we propose a trust-based vehicular platoon crowdsensing scheme, named TripSense, in VANET. The proposed TripSense scheme introduces a trust-based system to evaluate vehicles’ sensing abilities and then selects the more capable vehicles in ...
Hao Hu, Rongxing Lu, Cheng Huang, Zonghua Zhang   +3 more
doaj   +1 more source

Sustainable Incentive Mechanisms for Mobile Crowdsensing Part 2

, 2017
The articles in this special section focus on incentive mechanisms for mobile crowdsensing. Mobile crowdsensing is a promising technique in which a large amount of mobile devices collectively share data to measure, map, analyze, or estimate any processes
Qi Li, Debbah, Merouane, Li, Qi, Rayes, Ammar, Linghe Kong, Kui Ren, NAKAMURA, Yuichi, Yuichi Nakamura, Ammar Rayes, Merouane Debbah, Kong, Linghe, Ren, Kui, Muhammad Khurram Khan, Qi, Li, Khan, Muhammad Khurram   +14 more
core   +1 more source

Mobile crowdsensing with mobile agents

, 2017
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 ...
Leppänen, T. (Teemu), Lacasia, J. Á. (José Álvarez), Tobe, Y. (Yoshito), Riekki, J. (Jukka), Sezaki, K. (Kaoru)   +4 more
core  

Incentivizing Proportional Fairness for Multi-Task Allocation in Crowdsensing

IEEE Transactions on Services Computing
Effective incentive mechanisms are invaluable in crowdsensing to stimulate the enthusiasm of strategic users. However, existing work focusing on multi-task allocation with the objective of purely maximizing the social utility may result in the problem of
Jianfeng Lu, Haibo Liu, Riheng Jia, Zhao Zhang, Xiong Wang, Jiangtao Wang   +5 more
semanticscholar   +1 more source

Crowdsensing collaboratif entre les nœuds mobiles

, 2020
Mobile crowdsensing is a powerful mechanism to contribute to the ubiquitous sensing of data at a relatively low cost. With mobile crowdsensing, people provide valuable observations across time and space using sensors embedded in/connected to their smart ...
Du, Yifan
core  

Non-Monetary Incentives for Participatory Sensing Data Collection: A Sequential Explanatory Design

IEEE Access
Insufficient datasets due to a lack of data contribution from participants is a longstanding problem for data collection in participatory sensing. Empirical evidence has shown that non-monetary incentives can be a strong motivator to enhance participants&
Syarulnaziah Anawar, Wan Adilah Wan Adnan   +1 more
doaj   +1 more source