Utility-Based Task Assignment for ON-based Mobile Crowdsourcing
Author:
Affiliation:
1. Department of Computer Science and Electrical Engineering, Tokyo Metropolitan University, Japan
2. Department of Computer Science and Information Engineering, National Centrali University, Taiwan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3605731.3605873
Reference23 articles.
1. Rui Chen Liang Li Jeffrey Jiarui Chen Ronghui Hou Yanmin Gong Yuanxiong Guo and Miao Pan. 2020. COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing. In Globecom. 1–6. Rui Chen Liang Li Jeffrey Jiarui Chen Ronghui Hou Yanmin Gong Yuanxiong Guo and Miao Pan. 2020. COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing. In Globecom. 1–6.
2. X. Chen H. Wang Z. Li W. Ding F. Dang C. Wu and X. Chen. 2022. DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning. In UbiComp/ISWC. 11–15. X. Chen H. Wang Z. Li W. Ding F. Dang C. Wu and X. Chen. 2022. DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning. In UbiComp/ISWC. 11–15.
3. PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing
4. Shohei Karaguchi Kazuya Sakai and Satoshi Fukumoto. 2018. Quality-Aware Task Assignment in Opportunistic Network-Based Crowdsourcing. In IPCCC. 1–7. Shohei Karaguchi Kazuya Sakai and Satoshi Fukumoto. 2018. Quality-Aware Task Assignment in Opportunistic Network-Based Crowdsourcing. In IPCCC. 1–7.
5. To Lie or to Comply: Defending against Flood Attacks in Disruption Tolerant Networks
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