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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



SPB: Scalable Polynomial Backoff Algorithm For IEEE 802.11s Networks

[Full Text]

 

AUTHOR(S)

A.B Nataraju, S.A Hariprasad

 

KEYWORDS

WMN, BEB, MAC, HWMP, MRMC, CA

 

ABSTRACT

Wireless Mesh Network (WMN) [1] is a popular choice in setting up cost-efficient alternative to provide broadband internet services to a larger geography. The performance of WMN is greatly impacted by the collision due to simultaneous transmissions by many users at the same time. This problem has been addressed by MAC layer using BEB [2] collision avoidance (CA) algorithm. There are many CA algorithms (EIED, EILD, MILD, PB, ISBA, EBO, HBA, etc.,) published in the recent past to reduce the collisions. These algorithms works better than BEB in specific network configurations (such as higher node density, delay sensitive data transmission …), otherwise they underperform when compared to BEB. This work proposes Scalable Polynomial Backoff (SPB) algorithm using fast decrease mechanism (after successful transmission) to support better throughput under varied node densities (grid sizes), and varied number of radio interfaces (1/2/3). The new algorithm has been tested for its performance using NS3 simulator [3]. The results show the SPB algorithm performs better than BEB in about 93% of network configurations against BEB and better than PB[4] algorithm in about 73% of network configurations (with application packet Size set to 1500 bytes).

 

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