An approach of flow compensation incentive based on Q-Learning strategy for IoT user privacy protection

Author:

Chen Lu,Zhang De-gan,Zhang Jie,Zhang Ting,Du Jin-yu,Fan Hong-rui

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

Reference63 articles.

1. Chen L, Zhang DG. An Incentive Approach in Mobile Crowdsensing for Perceptual User. In: The IEEE 46th Conference on Local Computer Networks, 2021, 1(1): 359-62.

2. Chen L, Zhang DG, A method of flow compensation incentive based on Q-Learning for user privacy protection. In: IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021, 1(1): 554-61.

3. A kind of new method of intelligent trust engineering metrics (ITEM) for application of mobile ad hoc network;Gong;Eng Computations,2019

4. New approach of multi-path reliable transmission for marginal wireless sensor network;Wu;Wireless Netw,2019

5. An incentive mechanism with bid privacy protection on multi-bid crowdsourced spectrum sensing;Dong;World Wide Web-Internet and Web Information Syst,2020

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