Internet Traffic based Channel Selection in Multi-Radio Multi-Channel Wireless Mesh Networks

Authors

  • Muni Lavanya Jawaharlal Nehru Technological University
  • Shoba Bindu Jawaharlal Nehru Technological University
  • Vijay Kumar Jawaharlal Nehru Technological University

DOI:

https://doi.org/10.17762/ijcnis.v11i2.4110

Abstract

Wireless Mesh Networks(WMNs) are the outstanding technology to facilitate wireless broadband Internet access to users. Routers in WMN have multiple radio interfaces to which multiple orthogonal/partially overlapping channels are assigned to improve the capacity of WMN. This paper is focused on channel selection problem in WMN since proper channel selection to radio interfaces of mesh router increases the performance of WMN. To access the Internet through WMN, the users have to associate with one of the mesh routers. Since most of the Internet Servers are still in wired networks, the major dominant traffic of Internet users is in downlink direction i.e. from the gateway of WMN to user. This paper proposes a new method of channel selection to improve the user performance in downlink direction of Internet traffic. The method is scalable and completely distributed solution to the problem of channel selection in WMN. The simulation results indicate the significant improvement in user performance.

Author Biographies

Muni Lavanya, Jawaharlal Nehru Technological University

Computer Science and Engineering,JNTUA CEP.

Shoba Bindu, Jawaharlal Nehru Technological University

Department of Computer Science and Engineering,JNTUA CEA

Vijay Kumar, Jawaharlal Nehru Technological University

Department of Computer Science and Engineering

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Published

2019-08-17 — Updated on 2022-04-17

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How to Cite

Lavanya, M., Bindu, S., & Kumar, V. (2022). Internet Traffic based Channel Selection in Multi-Radio Multi-Channel Wireless Mesh Networks. International Journal of Communication Networks and Information Security (IJCNIS), 11(2). https://doi.org/10.17762/ijcnis.v11i2.4110 (Original work published August 17, 2019)

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Section

Research Articles