Results 241 to 250 of about 4,878 (281)

MagiCrowd: A crowd based incentive for location-aware crowd sensing

2016 IEEE Wireless Communications and Networking Conference, 2016
Mobile devices have become more and more powerful with lots of embedded sensors providing sensibility of various data, which makes crowd sensing a compelling paradigm followed by emerging applications. In this paper, we design a crowd based incentive mechanism to stimulate participants joining sensing campaigns with consideration of location privacy ...
Yao Wu, Yuncheng Wu, Hui Peng 0002, Hong Chen 0001, Cuiping Li 0001   +4 more
openaire   +1 more source

IoT for Crowd Sensing and Crowd Sourcing

2020
This chapter starts with the origin of the concept of crowdsourcing followed by the understanding of the concept of crowd sensing with the help of various examples of well-known International brands. The concept of IOT is explained in brief along with sensors and actuators etc. Due to existence of IOT, transformation of crowdsourcing into crowd sensing
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Mobile crowd sensing based on CICN

2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017
In this paper, we propose a Mobile Crowd Sensing application based on Community Information-Centric Networking to collect opportunistic sensing data in limited area where it restricts radius of Bluetooth Low Energy beacon. The application has more valuable features by comparing with common Mobile Crowd Sensing one.
Taewan You, Muhammad Umair, Yong-Gen Hong   +2 more
openaire   +1 more source

Accurate indoor localization with crowd sensing

2016 IEEE International Conference on Communications (ICC), 2016
Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location
Yingying Guo, Yan Sun 0004, Yatao Li, Tin Yu Wu, Mohammad S. Obaidat   +4 more
openaire   +1 more source

A Mobility Model for Crowd Sensing Simulation

International Journal of Interdisciplinary Telecommunications and Networking, 2017
Mobile Crowd Sensing (MCS) is a class of sensor networks that uses mobile devices for large scale sensing. These networks have some very specific characteristics because of human (smartphone owners) involvement in its operations. Hence, it is important to have a model that takes into account the unique characteristics and opportunities of human ...
Jose Mauricio Nava Auza, José Roberto Boisson de Marca   +1 more
openaire   +1 more source

Privacy Protection Sensing Data Aggregation for Crowd Sensing

2019
The emergence of the crowd sensing solves the problem that the traditional perception mode is hard to deploy on a large scale and at a high cost. However, users are exposed to the risk of privacy leakage when participating in crowd sensing. In order to solve this issue, this paper protects the user’s privacy through the dynamic group collaborative data
Yunpeng Wu, Shukui Zhang, Yuren Yang, Yang Zhang 0122, Li Zhang 0052, Hao Long 0001   +5 more
openaire   +1 more source

History-based Incentive for Crowd Sensing

Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing, 2014
An increasing popularity of smartphones affects interaction behaviors between people. The ubiquity of smartphones with embedded sensors can enable attractive sensing applications for collecting and reporting data in participatory sensing environment.
Tomoya Tsujimori, Niwat Thepvilojanapong, Yoshikatsu Ohta, Yunlong Zhao 0001, Yoshito Tobe   +4 more
openaire   +1 more source

Completeness Issues in Mobile Crowd-sensing Environments

Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020
Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, and we
Mehanna, Souheir, Kedad, Zoubida, Chachoua, M.   +2 more
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Enabling Crowd Sensing for Non-Experts

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018
Crowd sensing utilizes a large group of users with devices capable of sensing to collect data for analysis. The motive of crowd sensing is to generate inferences from collected data. Examples of these applications include measuring traffic congestion, bike route quality, parking spot availability, and pollution levels.
Ajay Palleri Kesavan, Neil Prakasam, Ambika Hegde, Brent Lagesse   +3 more
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Crowd-sensing: Why context matters

2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013
Crowd-sensing is becoming a popular computing and sensing paradigm for enclosing humans in the sensing loop. The underlying idea is that people, together with their mobile device, can act as mobile and pervasive sensors, gathering information about the surrounding environment and potentially providing direct input. In this work we focus on how to embed
Carreras, Iacopo, Miorandi, Daniele, Tamilin, Andrei, Ssebaggala, Emmanuel R., Conci, Nicola   +4 more
openaire   +2 more sources