Hybrid optimized task scheduling with multi-objective framework for crowd sensing in mobile social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01608-4.pdf
Reference31 articles.
1. Ganti RK, Ye F, Lei H (2011) Mobile crowdsensing: current state and future challenges. IEEE Commun Mag 49(11):32–39
2. Yang D, Xue G, Fang X, Tang J (2015) Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones. IEEE/ACM Trans Networking 24(3):1732–1744
3. Luo T, Kanhere SS, Das SK, Tan HP (2015) Incentive mechanism design for heterogeneous crowdsourcing using all-pay contests. IEEE Trans Mob Comput 15(9):2234–2246
4. Yucel F, Yuksel M, Bulut E (2021) Coverage-aware stable task assignment in opportunistic mobile crowdsensing. IEEE Trans Veh Technol 70(4):3831–3845
5. Wang J, Wang L, Wang Y, Zhang D, Kong L (2018) Task allocation in mobile crowd sensing: State-of-the-art and future opportunities. IEEE Internet Things J 5(5):3747–3757
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