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Diffusion Analysis and Incentive Method for Mobile Crowdsensing User Based on Knowledge Graph Reasoning
2021
Security and Communication Networks
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In this paper, we focus on socially aware users represented by self-organizing social networks, combine the knowledge graph to establish a knowledge graph for the crowdsensing system, use rules to derive ...
Aiming at the problem that the mobile crowdsensing (MCS) system relies on a specific platform with a large user group presupposed, this paper proposes a sensing user diffusion analysis and incentive method ...
If and only if, for any other strategy St i ′ and any strategy profile of other workers (denoted as St − i ), strategy St i is the dominant strategy of worker i and satisfies
(i) Ω(•) represents the ...
doi:10.1155/2021/6697862
fatcat:4i2beexqpjgsbp42ngy72humxy
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions and Opportunities
2019
IEEE Communications Surveys and Tutorials
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Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing. ...
For data collection, MCS systems rely on contribution from mobile devices of a large number of participants or a crowd. ...
It is organized to let easy access and analysis, and typically is self-explanatory. ...
doi:10.1109/comst.2019.2914030
fatcat:psvt24nrjbcldpixw6b7stzm3a
Mobile crowdsensing with mobile agents
2015
Autonomous Agents and Multi-Agent Systems
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We introduce mobile agents for mobile crowdsensing. Crowdsensing campaigns are designed through different roles that are implemented as mobile agents. ...
Currently, no generally applicable solution for easy-to-follow mobile crowdsensing strategies with supporting system architecture exists, that can be easily verified or evaluated [7, 20] . ...
Medusa [41] is a programming framework for crowdsensing applications with a macroprogramming language based on the master-worker pattern. ...
doi:10.1007/s10458-015-9311-7
fatcat:mbm4w4hs75h6lfssizcol6tgea
Mapping urban accessibility: gamifying the citizens' experience
2015
EAI Endorsed Transactions on Ambient Systems
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To overcome this problem, we investigated gamification strategies in designing two mobile applications targeting young adults walkers, aimed to enlarge the data contributors community. ...
in order to extend and motivate the community of mPASS. mPASS is an urban accessibility mapping system that allows citizens to collect reliable data about barriers and facilities via crowdsourcing and crowdsensing ...
Social Sensing) [4] can be used to compute viable paths, not just for people with disabilities, but also for people experiencing mobility impairments, for instance, elderly people, people with temporary ...
doi:10.4108/eai.1-12-2015.150711
fatcat:vzmjo7b6xjccri3pw7tnzssdse
Understanding the coverage and scalability of place-centric crowdsensing
2013
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13
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Such systems are transforming various consumer services (for example, local search) and data-driven organizations (city planning). ...
As the demand for these systems increases, our understanding of how to design and deploy successful crowdsensing systems must improve. ...
Our deployment is one of the largest examples of mobile crowdsensing yet studied. We recruited 85 people to collect data for two months while making ≈ 48,000 place visits in Seoul, Korea. ...
doi:10.1145/2493432.2493498
dblp:conf/huc/ChonLKZC13
fatcat:66vgns76x5ajlazfsj67ibjaxi
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
2023
Sensors
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collaborative, but non-autonomous workers, and a market-based model with autonomous workers for crowdsensing. ...
However, implementing task transfers in mobile crowdsourcing is difficult because workers are autonomous and may reject transfer requests. ...
Mobile crowdsourcing has been used for a wide range of purposes:
• Crowdsensing systems [4, 5] recruit crowdworkers to gather sensor data at locations of interest. ...
doi:10.3390/s23020614
pmid:36679408
pmcid:PMC9867304
fatcat:6s4vvxc3dvbyviohkstlqbmnke
A Review of Mobile Crowdsourcing Architectures and Challenges: Toward Crowd-Empowered Internet-of-Things
2019
IEEE Access
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, architectures, and key considerations for their development. ...
We also provide a critical analysis of some challenges and suggest directions for future work. ...
Also, task self-selection by workers versus task allocation (and worker selection) by a central controller are two strategies, each with its own advantages. ...
doi:10.1109/access.2018.2885353
fatcat:vtfbb7ydjre2rfkulrjm6ypyma
Towards AI-Empowered Crowdsourcing
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2212.14676v1 fatcat:53czq4zbgffxroggf465ueke7m
Crowdsourcing, in which human intelligence and productivity is dynamically mobilized to tackle tasks too complex for automation alone to handle, has grown to be an important research topic and inspired ...
Over the years, crowdsourcing has morphed from providing a platform where workers and tasks can be matched up manually into one which leverages data-driven algorithmic management approaches powered by ...
Social networks facilitate the recruitment and motivation of workers, but can also induce worker collusion for profit. ...
arXiv:2212.14676v2
fatcat:2hdfmowyffbuxorhyouipvbqgm
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). ...
While previous studies rely on a specified platform with a pre-assumed large user pool, this paper leverages the influenced propagation on the social network to assist the MCS worker recruitment. ...
His research interests include mobile crowdsensing, social networks, and intelligent transportation systems. ...
arXiv:1805.08525v1
fatcat:tfeibluxunajddebq7evd4mfqy
Understanding Human-Machine Networks: A Cross-Disciplinary Survey
[article]
2017
arXiv
pre-print
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We identify eight types of HMNs: public-resource computing, crowdsourcing, web search engines, crowdsensing, online markets, social media, multiplayer online games and virtual worlds, and mass collaboration ...
Extending the previous theoretical concepts of socio-technical systems, actor-network theory, cyber-physical-social systems, and social machines, we concentrate on the interactions among humans and between ...
Gamification is another strategy to recruit volunteers and encourage their prolonged engagement in a CSO project. ...
arXiv:1511.05324v2
fatcat:ixawl5uo4rd5tbewgcpz3as4pm
A Semiopportunistic Task Allocation Framework for Mobile Crowdsensing with Deep Learning
2021
Wireless Communications and Mobile Computing
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The IoT era observes the increasing demand for data to support various applications and services. The Mobile Crowdsensing (MCS) system then emerged. ...
Similar to the "shared mobility" concept, our proposed task allocation framework can offer the participants routing advice without disturbing their original travel plan. ...
Introduction The Mobile Crowdsensing (MCS) paradigm, as a crucial part of the current IoT ecosystem, is offering an integrated sensing capability for various aspects of the human environment, such as urban ...
doi:10.1155/2021/6643229
fatcat:2xi3eavbxrhmjly2k2qer6dvcq
Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications
2022
Future Internet
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Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. ...
; (3) Resources, Sharing, Storage and Energy Considerations for Crowd-IoT; and (4) Applications for Crowd-IoT. ...
The authors presented AnonySense, a general architecture focusing on privacy-aware mobile crowdsourcing. ...
doi:10.3390/fi14020049
fatcat:o62tjaayyvfnjc75irzkpzu5vy
Selection of Crowd in Crowdsourcing for Smart Intelligent Applications: A Systematic Mapping Study
2021
Scientific Programming
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During the crowdsourcing process, the crowd selection is performed in order to select appropriate crowd workers for a specific task; without appropriate selection of crowd workers, the process of crowdsourcing ...
crowdsourcing, and crowd selection was classified under conference papers, journal articles, proceedings, and book chapters. 81 relevant studies are selected from 7 digital data repositories using a search strategy ...
Trust is the main factor for selecting workers for a task [3, 9, 29, 48] . A requestor may recruit trustworthy crowd workers [9] . ...
doi:10.1155/2021/9368128
fatcat:bllrubuid5hg3aweuycdhab55a
The Future Internet convergence of IMS and ubiquitous smart environments: An IMS-based solution for energy efficiency
2012
Journal of Network and Computer Applications
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The push from academia and industry for this kind of services shows that time is mature for a more general support framework for Pervasive Sensing solutions able to enhance frail architectures, promote ...
The wide availability of new devices and the large amount of data they can access enable a wide range of novel services in different areas, spanning from simple data collection systems to socially-aware ...
For example, Bernstein et al. propose a statistical model and an algorithm to pre-recruit, pool, and pay workers to minimize task execution time on AMT [223] . ...
doi:10.1016/j.jnca.2011.05.003
fatcat:3iprgfdvmjfxxey67qtflilnri
Reputation-Aware Recruitment and Credible Reporting for Platform Utility in Mobile Crowd Sensing with Smart Devices in IoT
2018
Sensors
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It involves mobile workers (MWs) who perform various activities to support enormous online services and applications. ...
This paper presents Reputation, Quality-aware Recruitment Platform (RQRP) to recruit MWs based on reputation for quality reporting with the intention of platform profit maximization in the IoT scenario ...
are not monetary but can be a kind of social recognition or self-satisfaction [29] . ...
doi:10.3390/s18103305
pmid:30275433
pmcid:PMC6210655
fatcat:d3iwk5frbjhgnfn6entyo3kvlm
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