1. Intelligent Information‐Centric Networking routing scheme under imprecise information.
- Author
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Zhang, Lingling and Lv, Jianhui
- Subjects
- *
INTELLIGENT networks , *ROUTING algorithms , *STATISTICAL decision making , *QUALITY of service , *ERROR rates - Abstract
Summary: Information‐Centric Networking (ICN) has been accepted to overcome some weaknesses of the current Internet architecture, showing that "what is being exchanged" is more important than "who are exchanging information." Given the inadequate considerations on Quality of Service (QoS) and energy saving in ICN routing, we propose in this paper a routing algorithm to enhance the two aspects. At first, on one hand, Cauchy distribution is used as a fuzzy model to evaluate users' QoS requirements, such as bandwidth, delay, and error rate; on the other hand, we formulate energy saving problem to evaluate the green quality of routing algorithm. Then, we design a link selection approach by considering QoS and energy saving, which belongs to a multi‐objective decision problem resolved by intelligent drops algorithm. Finally, we implement the proposed algorithm and compare it with the famous adaptive forwarding mechanism in terms of some significant metrics, and the experimental results reveal that the proposed algorithm is more efficient. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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