scholarly journals MCGR-PB: A Multi-Player Cooperative Game Based Routing for Performance Balancing in Crowd Sensing Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 68440-68449
Author(s):  
Huahong Ma ◽  
Honghai Wu ◽  
Guoqiang Zheng ◽  
Baofeng Ji
Keyword(s):  
Cooperative Game ◽  
Crowd Sensing ◽  
Crowd Sensing Networks

scholarly journals A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3894 ◽  
Author(s):  
Bing Jia ◽  
Tao Zhou ◽  
Wuyungerile Li ◽  
Zhenchang Liu ◽  
Jiantao Zhang
Keyword(s):  
Cloud Computing ◽  
Privacy Protection ◽  
Large Scale ◽  
Location Privacy ◽  
Incentive Mechanism ◽  
User Participation ◽  
Crowd Sensing ◽  
The Incentive Mechanism ◽  
Crowd Sensing Networks ◽  
Location Privacy Protection

Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment & gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.

scholarly journals The Truthful Evolution and Incentive for Large-Scale Mobile Crowd Sensing Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 51187-51199 ◽  
Author(s):  
Yingjie Wang ◽  
Yingshu Li ◽  
Zhongyang Chi ◽  
Xiangrong Tong
Keyword(s):  
Large Scale ◽  
Mobile Crowd Sensing ◽  
Crowd Sensing ◽  
Crowd Sensing Networks ◽  
Mobile Crowd

scholarly journals An Incentive and Reputation Mechanism Based on Blockchain for Crowd Sensing Network

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zainib Noshad ◽  
Asad Ullah Khan ◽  
Shahid Abbas ◽  
Zain Abubaker ◽  
Nadeem Javaid ◽  
...  
Keyword(s):  
Service Providers ◽  
Reputation System ◽  
Reputation Mechanism ◽  
Privacy Leakage ◽  
Crowd Sensing ◽  
True Value ◽  
Participation Level ◽  
Gas Consumption ◽  
Crowd Sensing Networks ◽  
Fake Reviews

Nowadays, sensors inserted in mobile applications are used for gathering data for an explicit assignment that can effectively save cost and time in crowd sensing networks (CSNs). The true value and essence of gathered statistics depend on the participation level from all the members of a CSN, i.e., service providers, data collectors, and service consumers. In comparison with the centralized conventional mechanisms that are susceptible to privacy invasion, attacks, and manipulation, this article proposes a decentralized incentive and reputation mechanism for CSN. The monetary rewards are used to motivate the data collectors and to encourage the participants to take part in the network activities. Whereas the issue of privacy leakage is dealt with using Advanced Encryption Standard (AES128) technique. Additionally, a reputation system is implemented to tackle issues like data integrity, fake reviews, and conflicts among entities. Through registering reviews, the system encourages data utilization by providing correct, consistent, and reliable data. Furthermore, simulations are performed for analyzing the gas consumed by smart contracts. Similarly, the encryption technique is ratified by comparing its execution time with other techniques that are previously used in literature. Lastly, the reputation system is inspected through analyzing the gas consumption and mining time of input string length.

scholarly journals QUOIN: Incentive Mechanisms for Crowd Sensing Networks

IEEE Network ◽  
2018 ◽  
Vol 32 (2) ◽  
pp. 114-119 ◽  
Author(s):  
Kaoru Ota ◽  
Mianxiong Dong ◽  
Jinsong Gui ◽  
Anfeng Liu
Keyword(s):  
Incentive Mechanisms ◽  
Crowd Sensing ◽  
Crowd Sensing Networks
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