Department
Computer Science & Engineering Department
Description or Abstract
Many applications are being developed to leverage the popularity of mobile opportunistic networks. However, building adaptive testbeds can be costly and challenging. This challenge motivates the need for effective opportunistic network simulators to provide a variety of opportunistic environment setups, and evaluate proposed applications and protocols with a comprehensive set of metrics. This paper presents SAROS, a simulator of opportunistic networking environments with a variety of interest distributions, power consumption distributions, imported real traces, and social network integration. The simulator provides a wide variety of evaluation metrics that are not offered by comparable simulators. Finally, SAROS also implements several opportunistic forwarding algorithms ranging from social-oblivious algorithms to interest and power-aware social-based algorithms.
Keywords
Simulations, Social-aware, Opportunistic forwarding, Power awareness, Interest awareness
Faculty Advisor
Aly, Sherif Gamal; Harras, Khaled A.
Content Type
Article
Extent
7 p.
Language
eng
First Page
1
Last Page
7
Original Publication Title
IEEE WCNC 2016
Publisher
IEEE
Recommended Citation
Al Ayyat, Soumaia, "SAROS: A social-aware opportunistic forwarding simulator" (2016). Papers, Posters, and Presentations. 2.
https://fount.aucegypt.edu/studenttxt/2