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A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing

Xuemei Sun, Xiaorong Yang, Caiyun Wang, Jiaxin Wang
2020 Discrete Dynamics in Nature and Society  
In view of this application background, this paper proposes a new incentive mechanism of extra rewards: premium and jackpot incentive mechanism (PJIM), and a new participant selection method based on time  ...  Finally, simulation experiment verifies that the incentive mechanism and participant selection method proposed in this paper have good performance.  ...  a privacy-preserving and data quality-aware incentive scheme, called PACE.  ... 
doi:10.1155/2020/2815073 fatcat:kt7bmeweavbqnlhvdrdbf7dfca

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
37 PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Telecommunication network routing Mobile Crowdsensing.  ...  and Quality-Aware Incentive Mechanism for Mobile Crowdsensing.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i


Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike J. Ryan
2021 IEEE Access  
Therefore, Dwork's differential privacy has emerged as the most viable privacy preservation strategy for IoT-enabled critical infrastructure.  ...  In the past, researchers have employed several privacy preservation approaches including cryptographic encryption and k-anonymity to secure IoT-enabled critical infrastructure.  ...  Therefore, DP was found to be one of the most effective solutions to tackle data privacy preservation for mobile crowdsensing.  ... 
doi:10.1109/access.2021.3124309 fatcat:vejtyjyrwffeffi7ob2o2svyja

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Gordana Gardašević, Konstantinos Katzis, Dragana Bajić, Lazar Berbakov
2020 Sensors  
Major challenges in privacy and security are also discussed.  ...  A particular attention is devoted to crowdsourcing/crowdsensing, envisaged as tools for the rapid collection of massive quantities of medical data.  ...  In Reference [99] , the incentive mechanism is based on a reverse combinatorial auction. As a metric, it implements the Quality of Information (QoI) [99] .  ... 
doi:10.3390/s20133619 pmid:32605071 pmcid:PMC7374296 fatcat:wqhioh3lsrbx5fxk54k6m4puui

An Outlook on Physical and Virtual Sensors for a Socially Interactive Internet

Ngombo Armando, André Rodrigues, Vasco Pereira, Jorge Sá Silva, Fernando Boavida
2018 Sensors  
The Internet keeps changing at a rapid pace, driven mainly by the emerging concepts and applications that make it aware of the physical world and responsive to user context.  ...  enablers of context-aware, cognitive applications and, last but not least, the unified management of large sets of very heterogeneous sensors/actuators.  ...  The studies in [43, 44] present solutions for the preservation of user privacy in a crowdsensing environment.  ... 
doi:10.3390/s18082578 pmid:30082656 fatcat:cw6k2ibuazezfkxmkl5uy6qtbq

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

Ke Yan, Wen Shen, Qun Jin, Huijuan Lu
2019 IEEE Access  
While significant efforts have been undertaken to address various privacy issues in recent years, there is a surprising lack of review for privacy concerns in the cyber-enabled sharing world.  ...  Hot topics and less discussed topics are identified, which provides hints to researchers for their future studies.  ...  Three open problems were raised for crowdsensing (CS) researchers in the field of location privacy preservation, which are 1) privacypreserving mechanisms for tasking processing, 2) privacypreserving mechanisms  ... 
doi:10.1109/access.2019.2894344 fatcat:qapuhjkhs5embm2l6q2cq52ply

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues [article]

Khizar Hameed, Mutaz Barika, Saurabh Garg, Muhammad Bilal Amin, Byeong Kang
2021 arXiv   pre-print
Although several approaches have been proposed to address the specific security and privacy needs of targeted applications with functional parameters, there is still a need for a research study on the  ...  application, security and privacy challenges, and requirements of Blockchain-based industrial applications, along with possible security threats and countermeasures.  ...  To provide the "guaranteed privacy" of mobile users and crowdsensing providers, Chatzopoulos et al.  ... 
arXiv:2105.11665v1 fatcat:bsm7w2shjneajp425oddszr6ju

Federated Learning in Mobile Edge Networks: A Comprehensive Survey [article]

Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao
2020 arXiv   pre-print
FL can serve as an enabling technology in mobile edge networks since it enables the collaborative training of an ML model and also enables DL for mobile edge network optimization.  ...  Recently, in light of increasingly stringent data privacy legislations and growing privacy concerns, the concept of Federated Learning (FL) has been introduced.  ...  As such, they can potentially be deployed for various crowdsensing tasks, e.g., for medical purposes [2] and air quality monitoring [3] .  ... 
arXiv:1909.11875v2 fatcat:a2yxlq672needkejenu4j3izyu

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions [article]

Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Madhusanka Liyanage
2021 arXiv   pre-print
In particular, we extensively review the use of FL for key big data services, including big data acquisition, big data storage, big data analytics, and big data privacy preservation.  ...  for big data.  ...  Acknowledgement We acknowledge the authors (Dinh, Fang, Pubudu) for the contribution of our (blockchain -big data) development.  ... 
arXiv:2110.04160v2 fatcat:3y2kmamdbrfmrjdxv3zh47yphu

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
-5149 Meng, K., see Zhang, Y., TII July 2020 4390-4402 Meng, K., Jia, Y., Yang, H., Niu, F., Wang, Y., and Sun, D., Motion Planning and Robust Control for the Endovascular Navigation of a Microrobot  ...  Moulay, E., Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0; 1427-1435 Messina, F., see Fortino, G., TII Sept. 2020 6133-6142 Mi, C., see Zhu, C., TII  ...  Xu, Y., +, TII Aug. 2020 5088-5098 Incentive schemes Social-Aware Incentive Mechanisms for D2D Resource Sharing in IIoT.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
Kim, D.I., Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks; TVT Jan. 2020 920-934 Jibrin, R., see Jia, Y., TVT Dec. 2020 14173-14187 Jin, B., see Zhu, Y., TVT Aug. 2020 8317-8328  ...  , C.S., see Le, T.H.T., TVT Dec. 2020 15162-15176 Hong, D., Lee, S., Cho, Y.H., Baek, D., Kim, J., and Chang, N Guo, H., Liu, J., and Zhang, Y., Toward Swarm Coordination: Topol-ogy-Aware Inter-UAV  ...  ., +, TVT Jan. 2020 377-389 Incentive-Aware Recruitment of Intelligent Vehicles for Edge-Assisted Mobile Crowdsensing.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Challenges and Opportunities of Crowdsourcing and Participatory Planning in Developing Infrastructure Systems of Smart Cities

Parul Srivastava, Ali Mostafavi
2018 Infrastructures  
In the end, some recommendations for improvement in the implementation of the crowdsourcing platforms have been proposed for their enhanced applicability and effectiveness.  ...  One of the methods for doing so is collecting data from the crowd itself—termed crowdsourcing—and incorporating their ideas to improve the existing facilities, as well as build new ones to cater to their  ...  Acknowledgments: The authors would like to thank the TAMU-IITK Summer Exchange Programme 2017 for supporting the undergraduate research internship of the first author.  ... 
doi:10.3390/infrastructures3040051 fatcat:wqhwlyrizbb35kjyzz3octsiee

What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges

Julien Gedeon, Florian Brandherm, Rolf Egert, Tim Grube, Max Muhlhauser
2019 IEEE Access  
Edge computing brings computing and storage resources closer to (mobile) end users and data sources, thus bypassing expensive and slow links to distant cloud computing infrastructures.  ...  As of today, however, we lack a widespread availability of edge computing-partly because it remains unclear which of the promised benefits of edge computing are relevant for what types of applications.  ...  [218] * present AirSense, a crowdsensing-based air quality monitoring system.  ... 
doi:10.1109/access.2019.2948399 fatcat:j35c35yodzacpbvonjpgn63ar4

A Review on Internet of Things for Defense and Public Safety

Paula Fraga-Lamas, Tiago Fernández-Caramés, Manuel Suárez-Albela, Luis Castedo, Miguel González-López
2016 Sensors  
The review characterizes the open challenges for a broad deployment and presents a research roadmap for enabling an affordable IoT for defense and PS.  ...  Its adoption has proven well suited for sectors that manage a large number of assets and coordinate complex and distributed processes.  ...  Moreover, potential threats to privacy can compromise crowdsensing services.  ... 
doi:10.3390/s16101644 pmid:27782052 pmcid:PMC5087432 fatcat:vg4ybtb7qjfj3iuhnocr7pkdoa

A survey on wearable technology: History, state-of-the-art and current challenges

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibińska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa (+11 others)
2021 Computer Networks  
Finally, the survey highlights the critical challenges and existing/future solutions.  ...  and market status, as well as a variety of other actual information on wearable technology.  ...  Topics, which interest her most are location privacy, privacy-preserving mechanisms, indoor positioning, and wearable technologies.  ... 
doi:10.1016/j.comnet.2021.108074 fatcat:523aaizt5jb7jgy6vzysm6q5iu
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