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JACIII Vol.22 No.6 pp. 800-808
doi: 10.20965/jaciii.2018.p0800
(2018)

Paper:

Utilization and Balance in Channel Assignment for Rural Wireless Mesh Networks

Chang Fang*, Zhifang Feng**, and Chao Zuo***,†

*School of Economics and Management, Anhui Normal University
189 Jiuhua South Road, Wuhu City, Anhui 241002, China

**School of Management, Hefei University of Technology
No.193 Tunxi Street, Hefei 230009, China

***School of Management and E-Business, Zhejiang Gongshang University
No.18 Xuezheng Street, Hangzhou 310018, China

Corresponding author

Received:
June 29, 2017
Accepted:
December 19, 2017
Published:
October 20, 2018
Keywords:
rural mesh networks, channel assignment, balanced allocation, graph coloring
Abstract

Wireless mesh networks with directional antennas are expected to be a new promising technology and an economic approach for providing wireless broadband services in rural areas. In these networks, the effective use of multiple non-overlapping channels can significantly enhance the network capacity by allowing more concurrent transmissions. However, the performances of wireless mesh networks are severely degraded by interference between links with overlapping channels in nearby areas. In this paper, we address the issue of joint utilization and balance in channel assignment for rural wireless mesh networks. We design a new channel assignment framework with the goal of optimizing the channel resource utilization across the entire network while taking balanced allocation into account. This balanced channel assignment allows for the cost-effective reuse of channels without a consequent loss of quality in the rural wireless mesh networks. We also evaluate the proposed framework on some Cartesian product graphs that are popular interconnection network topologies. The framework guarantees that these topologies require a small number of channels for balanced allocation.

Cite this article as:
C. Fang, Z. Feng, and C. Zuo, “Utilization and Balance in Channel Assignment for Rural Wireless Mesh Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.6, pp. 800-808, 2018.
Data files:
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Last updated on Nov. 15, 2018