Identity Routing Symmetry Metrics for Routing Behavior

DOI

10.2991/icmmct-16.2016.368How to use a DOI?

Keywords

Routing symmetry, Routing behavior model, Statistical process.

Abstract

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.

Copyright

© 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/).

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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  -