An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
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
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Engaging the Crowd in Sensing for Smart Mobility: A Discrete Choice Experiment
With rising numbers of people living in cities leading to increasing congestion and pollution, mobile crowdsensing applications form a potential solution to make transport systems smarter and more efficient.
Ria Johanna van Den Boogert +1 more
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Survey of Visual Crowdsensing [PDF]
Abstract In recent years, Visual Crowdsensing (VCS) that sensed through images and video, has become a predominant sensing paradigm of Mobile Crowdsensing (MCS), which is one of the current research hotspots. VCS requires people to capture the details of sensing objects in the real world in the form of pictures or video, which is widely ...
Shuying Zhai, Ru Li
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A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack
Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network.
Xuran Li +3 more
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ATM: Attribute-Based Privacy-Preserving Task Assignment and Incentive Mechanism for Crowdsensing
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
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Federated Crowdsensing: Framework and Challenges
Crowdsensing is a promising sensing paradigm for smart city applications (e.g., traffic and environment monitoring) with the prevalence of smart mobile devices and advanced network infrastructure. Meanwhile, as tasks are performed by individuals, privacy protection is one of the key issues in crowdsensing systems.
Leye Wang, Han Yu 0001, Xiao Han 0001
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FairCsāBlockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment
Crowdsensing applications provide platforms for sharing sensing data collected by mobile devices. A blockchain system has the potential to replace a traditional centralized trusted third party for crowdsensing services to perform operations that involve ...
Yihuai Liang, Yan Li, Byeong-Seok Shin
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Data-Centric Mobile Crowdsensing [PDF]
Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks' similar data ...
Changkun Jiang +3 more
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Development of User-Participatory Crowdsensing System for Improved Privacy Preservation
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
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A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing
With the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events.
May El Barachi +3 more
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