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Guest editorial: special issue on mobile crowdsourcing
2018
World wide web (Bussum)
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Crowdsourcing is evolving into a new paradigm, i.e., Mobile Crowdsourcing (MCS), which facilitates the increasing number of mobile device users to participate crowdsourcing tasks. ...
As a result, quite a number of crowdsourcing tasks that are difficult to complete based on Internet crowdsourcing has now become feasible, e.g., monitoring pollution level or noise level at the city-scale ...
In "GP-selector: a generic participant selection framework for mobile crowdsourcing systems", the authors develop a generic framework to handle participant selection from the perspective of both task creators ...
doi:10.1007/s11280-017-0512-7
fatcat:v6caim3ngvcajmm4k7rn6yvxba
Crowdsourcing with Smartphones
2012
IEEE Internet Computing
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for objects generated by a crowd. ...
We present the intrinsic characteristics of smartphones, a taxonomy that classi es the emerging eld of mobile crowdsourcing and three in-house applications that optimize location-based search and similarity ...
SmartP2P can be used as a recommender system where the mobile social crowd generates instant information for certain places. ...
doi:10.1109/mic.2012.70
fatcat:glqmkflnhvhibgyh6sbvqbsraq
A Feasibility Study on Crowdsourcing to Monitor Municipal Resources in Smart Cities
2018
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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In spite of the promise, we believe that the success of such large-scale nation-wide crowdsourcing deployments depend on the real-word user preferences and behavioral characteristics of citizens. ...
We advocate the importance of matching user mobility patterns against task locations to make the platform more efficient (i.e., higher task completion rate and lower detour overhead). ...
ACKNOWLEDGEMENT This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative. ...
doi:10.1145/3184558.3191519
dblp:conf/www/KandappuMKTJ18
fatcat:4zylegpgljgtbfrjqpgvrmfqqy
Mobile Crowd Sensing and Computing
2015
ACM Computing Surveys
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This article characterizes the unique features and novel application areas of MCSC and proposes a reference framework for building human-in-the-loop MCSC systems. ...
We further clarify the complementary nature of human and machine intelligence and envision the potential of deep-fused human-machine systems. ...
ACKNOWLEDGMENTS The authors would like to thank all the colleagues for their discussion and suggestions. ...
doi:10.1145/2794400
fatcat:lol35ouj75eplapvdod5kyy2me
A Review of Mobile Crowdsourcing Architectures and Challenges: Toward Crowd-Empowered Internet-of-Things
2019
IEEE Access
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In particular, with the future Internet-of-Things in view, we generalize the notion of mobile crowdsourcing to thing crowdsourcing, where crowdsourcing can be issued from smart Internet-connected things ...
, architectures, and key considerations for their development. ...
In the task assignment component, the crowdsourcing system should be concerned with assigning the right task to the right workers. For instant, Peng et al. ...
doi:10.1109/access.2018.2885353
fatcat:vtfbb7ydjre2rfkulrjm6ypyma
Scalable Urban Mobile Crowdsourcing
2017
ACM Transactions on Intelligent Systems and Technology
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The task recommendation platform that we design can match tasks to crowdworkers based on workers' historical trajectories and time budget limits, thus making recommendations personal and efficient. ...
complete more tasks, and are more efficient against workers relying on their own planning (25% more for top workers who receive recommendations). ...
ACKNOWLEDGMENTS This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative, and partially ...
doi:10.1145/3078842
fatcat:uwwqtgybcfamxbmwbn5adlgt2m
A Semiopportunistic Task Allocation Framework for Mobile Crowdsensing with Deep Learning
2021
Wireless Communications and Mobile Computing
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The incentive mechanism is for resolving the participant shortage problem, and task assignment methods are studied to find the best match of participants and system utility goal of MCS. ...
The IoT era observes the increasing demand for data to support various applications and services. The Mobile Crowdsensing (MCS) system then emerged. ...
In this system, each participant could be a potential worker to accomplish the sensing tasks. ...
doi:10.1155/2021/6643229
fatcat:2xi3eavbxrhmjly2k2qer6dvcq
Traffic Regulator Detection and Identification from Crowdsourced Data—A Systematic Literature Review
2019
ISPRS International Journal of Geo-Information
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In the last few years, much research has focused on eliminating such problems by counting on crowdsourced data, such as GPS traces. ...
these two tasks, (3) to assess the performance of different methods, as well as (4) to identify important aspects of the applicability of these methods. ...
Good features in general can make a classifier powerful, but certainly bad feature selection can make any classifier incapable of accomplishing even basic recognition tasks. ...
doi:10.3390/ijgi8110491
fatcat:dma5dzeww5dpxgfgpq3v2eua7q
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
[article]
2018
arXiv
pre-print
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In particular, when selecting opportunistic workers in the offline phase of HyTasker, we propose a novel algorithm that simultaneously considers the predicted task assignment for the participatory workers ...
In the offline phase, a group of workers (called opportunistic workers) are selected, and they complete MCS tasks during their daily routines (i.e., opportunistic mode). ...
The selected opportunistic workers will collect sensing data for all tasks during their routine trajectories when they connect to the cell towers. ...
arXiv:1805.08480v1
fatcat:gc7hkvdbvzbbfdmg6rjcxntam4
Recommandation opportuniste de trajectoires pour l'accomplissement de tâches dans les systèmes crowdsourcing
2016
Document Numérique
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Crowdsourcing market systems (CMS) are platforms that allow one to publish tasks in order to be accomplished by others. ...
Further, we propose a reference architecture for the deployment of the recommendation of such trajectories in a CMS. ...
Introduction Au cours des dernières années, de nombreux systèmes de crowdsourcing (CMS, pour Crowdsourcing Market Systems) sont apparus, dans lesquels un groupe d'utilisateurs, appelés exécutants, contribuent ...
doi:10.3166/dn.19.1.103-126
fatcat:bgantrf6ijgu3dxwmpbxdt4piq
Co-Tracking: Target Tracking via Collaborative Sensing of Stationary Cameras and Mobile Phones
2020
IEEE Access
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Firstly, in order to accurately assign tracking tasks, we propose the Middle Query Location Prediction (MQLP) algorithm for predicting the target's location. ...
Tracking moving objects in a city, such as suspicious vehicles or persons, is important for public safety management. ...
Only a few work studies the problem of multi-task allocation. Guo et al. [27] proposed a framework for optimizing the multi-task allocation in a mobile crowdsourcing system. Xiao et al. ...
doi:10.1109/access.2020.2979933
fatcat:etruvkmxkzcprkq3kqh7jqqqde
Generalized Lottery Trees: Budget-Consistent Incentive Tree Mechanisms for Crowdsourcing
[article]
2018
arXiv
pre-print
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Most research assumes that participants are already in the system and aware of the existence of crowdsourcing tasks. ...
Incentive mechanism design has aroused extensive attention for crowdsourcing applications in recent years. ...
Most of existing mechanisms assume that participants are already in the system and aware of the existence of crowdsourcing tasks. ...
arXiv:1812.09433v1
fatcat:43glbqu3zrfofegc3jyhoicyxm
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions and Opportunities
2019
IEEE Communications Surveys and Tutorials
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For data collection, MCS systems rely on contribution from mobile devices of a large number of participants or a crowd. ...
Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing. ...
In [169] , the authors propose travel packages exploiting a recommendation system to help users in planning travels by leveraging data collected from crowdsensing. ...
doi:10.1109/comst.2019.2914030
fatcat:psvt24nrjbcldpixw6b7stzm3a
Iterative Spatial Crowdsourcing in Peer-to-Peer Opportunistic Networks
2020
Electronics
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This paper proposes and investigates task assignments and recruitment in iterative spatial crowdsourcing processes to find regions of particular interest among a collection of regions. ...
required) in using such spatial crowdsourcing. ...
The tasks accomplished by such crowdsourcing may be performed over extended periods of time providing data for analytics, or in an ad-hoc real-time on-demand manner. ...
doi:10.3390/electronics9071085
fatcat:7a5zi3mihbcmda34ze4obntx34
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
[article]
2018
arXiv
pre-print
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Worker recruitment is a crucial research problem in Mobile Crowd Sensing (MCS). ...
We first select a subset of users on the social network as initial seeds and push MCS tasks to them. ...
INTRODUCTION T HE idea of crowdsourcing rapidly mobilizes large numbers of people to work collectively for accomplishing complicated tasks [1] . ...
arXiv:1805.08525v1
fatcat:tfeibluxunajddebq7evd4mfqy
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