Crowdsensing Simulation Using ns-3-Reference-Cited by-同舟云学术

Crowdsensing Simulation Using ns-3

Published:2013-12-20 Issue: Volume: Page:47-58
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Tanas Cristian,Herrera-Joancomartí Jordi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-04178-0_5

Reference27 articles.

1. J-Sim. https://sites.google.com/site/jsimofficial/ . Accessed 5 June 2013

2. Simulation of Urban MObility (SUMO). http://sourceforge.net/apps/mediawiki/sumo/index.php?title=Main_Page . Accessed 27 May 2013

3. The Rice University Monarch Project: Mobile Networking Architectures. http://www.monarch.cs.rice.edu/ . Accessed 27 May 2013

4. Barr, R.: An efficient, unifying approach to simulation using virtual machines. Ph.D. thesis, Cornell University, May 2004

5. Barr, R., Haas, Z.J., van Renesse, R.: Jist: an efficient approach to simulation using virtual machines. Softw.: Pract. Experience 35(6), 539–576 (2005). http://dx.doi.org/10.1002/spe.647

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Challenges of Modeling Participant Behavior in CrowdSensing Evaluation;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

2. A comprehensive survey on mobile crowdsensing systems;Journal of Systems Architecture;2023-09

3. TACSim: An Extendable Simulator for Task Allocation Mechanisms in CrowdSensing;2023 IEEE International Conference on Smart Computing (SMARTCOMP);2023-06

4. Time-series method for predicting human traffic flow: A case study of Cañar, Ecuador;2023 6th International Conference on Information and Computer Technologies (ICICT);2023-03

5. Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms;IEEE Internet of Things Journal;2021-02-01