Results 11 to 20 of about 1,718 (250)
From participatory sensing to Mobile Crowd Sensing [PDF]
2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014 The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years.
Bin Guo 0001 +3 more
openaire +2 more sources
Opportunistic Transmission Mechanism Based on QoS Sensing and Cooperative Competition in Mobile Crowd Sensing Network [PDF]
Jisuanji gongcheng, 2016 To improve the efficiency of data sensing,collection and transmission in mobile crowd sensing network,this paper presents an opportunistic transmission mechanism based on QoS sensing and cooperative competition.In the mechanism,a mobile crowd sensing ...
YUAN Guixia,ZHOU Xianchun
doaj +1 more source
Egyptian Informatics Journal, 2022 Mobile Crowd sensing model is an emerging paradigm that requires mobile device users to perform tasks such as data aggregation and cloud computing operations and also provides significant role in several data-driven applications.
M. Arulprakash, R. Jebakumar
doaj +1 more source
A crowd sensing data collection framework based on edge computing [PDF]
ITM Web of Conferences, 2022 With the rapid increase in the use of mobile devices equipped with built-in sensors, mobile crowd sensing (MCS) as a human driven perception mode came into being.
Liu Yanjing +3 more
doaj +1 more source
Research Review of Crowd Intelligence 2.0 [PDF]
Jisuanji gongcheng, 2019 With the rapid development of Internet of Things(IoT) as well as mobile Internet and the deep drive of big data,crowd intelligence has entered the 2.0 era.This paper introduces the definition ofcrowd intelligence 2.0,and analyzes the research results of ...
ZHAO Jian, ZHANG Xinti, LI Jiaming, HE Chen
doaj +1 more source
Security analysis of mobile crowd sensing applications [PDF]
Applied Computing and Informatics, 2022 The proliferation of mobile phones with integrated sensors makes large scale sensing possible at low cost. During mobile sensing, data mostly contain sensitive information of users such as their real-time location.
Nsikak P. Owoh, M. Mahinderjit Singh
doaj +1 more source
Multi-Task Allocation in Mobile Crowd Sensing With Mobility Prediction [PDF]
IEEE Transactions on Mobile Computing, 2023 Mobile crowd sensing (MCS) is a popular sensing paradigm that leverages the power of massive mobile workers to perform various location-based sensing tasks. To assign workers with suitable tasks, recent research works investigated mobility prediction methods based on probabilistic and statistical models to estimate the worker's moving behavior, based ...
Jinyi Zhang, Xinglin Zhang 0001
openaire +1 more source
Information, 2020 Mobile crowd sensing is an innovative and promising paradigm in the construction and perception of smart cities. However, multi-task allocation in real-world scenarios is a huge challenge.
Junying Han, Zhenyu Zhang, Xiaohong Wu
doaj +1 more source
Participants Ranking Algorithm for Crowdsensing in Mobile Communication
EAI Endorsed Transactions on Scalable Information Systems, 2018 As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and
Tariq Ali +5 more
doaj +1 more source
IEEE Access, 2017 In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness ...
Maryam Pouryazdan +5 more
doaj +1 more source