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Profit Maximization Auction and Data Management in Big Data Markets
, 2017 A big data service is any data-originated resource that is offered over the Internet. The performance of a big data service depends on the data bought from the data collectors.
Alsheikh, Mohammad Abu +4 more
core +1 more source
The Accuracy-Privacy Trade-off of Mobile Crowdsensing [PDF]
IEEE Communications Magazine, 2017 8 pages, 5 ...
Mohammad Abu Alsheikh +5 more
openaire +2 more sources
Scalable Stream Processing with Quality of Service for Smart City Crowdsensing Applications
EAI Endorsed Transactions on Mobile Communications and Applications, 2013 Crowdsensing is emerging as a powerful paradigm capable of leveraging the collective, though imprecise, monitoring capabilities of common people carrying smartphones or other personal devices, which can effectively become real-time mobile sensors ...
Paolo Bellavista +2 more
doaj +1 more source
Map++: A Crowd-sensing System for Automatic Map Semantics Identification
, 2015 Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich semantic information to support a large class of mapping applications. In this paper,
Aly, Heba +2 more
core +1 more source
Crowdsensing and Privacy in Smart City Applications [PDF]
, 2019 Preprint submitted to Book: Smart Cities, Cybersecurity and Privacy ...
Raj Gaire 0001 +6 more
openaire +2 more sources
EBRP: An Energy-Efficient and Buffer-Aware Routing Protocol for Mobile Crowdsensing Network
International Journal of Distributed Sensor Networks, 2016 Data collection with high efficiency is a key problem for the completion of crowdsensing tasks in Mobile Crowdsensing Networks. Much work has been done on the opportunistic routing problem, but they usually just focused on the sociality of node, and the ...
Huahong Ma +4 more
doaj +1 more source
A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT
IEEE Access, 2020 In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in MCS can help address many challenges the centralized MCS solutions are facing such as delays in ...
Hanane Lamaazi +3 more
doaj +1 more source
Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach
ISPRS International Journal of Geo-Information, 2020 Accurate information of traffic regulators at junctions is important for navigating and driving in cities. However, such information is often missing, incomplete or not up-to-date in digital maps due to the high cost, e.g., time and money, for data ...
Hao Cheng +2 more
doaj +1 more source
Towards System Implementation and Data Analysis for Crowdsensing Based Outdoor RSS Maps
IEEE Access, 2018 With the explosive usage of smart mobile devices, sustainable access to wireless networks (e.g., Wi-Fi) has become a pervasive demand. Most mobile users expect seamless network connection with low cost.
Xiaochen Fan +6 more
doaj +1 more source
Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing
IEEE Access, 2018 Sweep coverage is an important covering technique in mobile crowdsensing, in which users or participants are employed to periodically monitor a set of points of interest (POIs) each with a weight indicating the value of its information to be collected ...
Peihuang Huang +5 more
doaj +1 more source