Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones

By Dejun Yang, Guoliang Xue, Xi Fang, Jian Tang. IEEE/ACM Transactions on Networking, 2016

404 citations recorded by the source corpus.

Subfields: Computer Science Applications, Management Science and Operations Research, Safety Research

View Paper: https://www.semanticscholar.org/paper/d8403984bff42604cce78876efb31c11321bfed8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Jiawen Kang
2. Dusist Niyato

In Management Science and Operations Research

1. Ping Wang
2. Dusist Niyato
3. Zehui Xiong
4. Dong In Kim

In Safety Research

1. Ping Wang
2. Dusist Niyato
3. Zehui Xiong
4. Dong In Kim

Citations in the corpus

• A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “In [221], the authors propose incentive mechanisms that can be exploited to motivate participants in sensing cam-”
• Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks (2019, background): “When x ≤ αi l2 ∑ j∈J−i rj |Vj |, we set r∗ i = 0, since miner i does not participate in block verification to avoid a deficit in this case [12].”