Description
Opportunistic networks are characterized by the dynamic connectivity created when mobile devices encounter each other, as they are within close proximity. During these transient opportunities, devices are typically within one-hop wireless range of their neighbors. Opportunistic networks are an effective way, in terms of bandwidth and battery consumption to distribute large volume content among peers. Many existing proposals consider opportunistic networks as a best-effort content delivery approach, which limits their applications. We exploit characteristics of human mobility to derive an effective data forwarding scheme that achieves Combined Optimal Stability and Capacity (COSC) for opportunistic networks. COSC includes a path selection algorithm to maximize the utility of link capacity and stability. We validate theoretical findings with rigorous simulation studies using synthetic and real-world mobility traces. When compared with other approaches, COSC shows significant improvement due to the consideration of link capacity and stability.
Date of creation, presentation, or exhibit
10-26-2015
Document Type
Conference Paper
Department, Program, or Center
Computer Science (GCCIS)
Recommended Citation
Qayyum, Shiraz; Hu, Peizhao; and Kumar, Mohan, "COSC: Paths with Combined Optimal Stability and Capacity in Opportunistic Networks" (2015). Accessed from
https://repository.rit.edu/other/840
Campus
RIT – Main Campus
Comments
Qayyum, S.; Peizhao Hu; Kumar, M., "COSC: Paths with Combined Optimal Stability and Capacity in opportunistic networks," in Local Computer Networks (LCN), 2015 IEEE 40th Conference on, pp.526-534, 26-29 Oct. 2015 doi: 10.1109/LCN.2015.7366367 © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.