Identity Routing Symmetry Metrics for Routing Behavior
Fang Dong, Junbiao Liu, Shenyi Dai
Available Online March 2016.
- 10.2991/icmmct-16.2016.368How to use a DOI?
- Routing symmetry, Routing behavior model, Statistical process.
Routing affects several protocols and impacts traffic analysis techniques. In this paper, an identity routing symmetry (IRS) metric is proposed to express network routing and its formulation is derived, which the forward and reverse flows coming from one node to another are exactly the same. IRS in three typical networks is simulated, such as random, WS and BA network. Simulation results show that routing algorithms that generate next hop randomly will lead to a symmetric network, but scale-free network does not work in this way, because degrees of nodes are varied significantly.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fang Dong AU - Junbiao Liu AU - Shenyi Dai PY - 2016/03 DA - 2016/03 TI - Identity Routing Symmetry Metrics for Routing Behavior BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1852 EP - 1855 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.368 DO - 10.2991/icmmct-16.2016.368 ID - Dong2016/03 ER -