Clustering-Based Channel Allocation Method for Mitigating Inter-WBAN Interference

被引:1
作者
Song, Woojin [1 ]
Park, Jaesung [1 ]
机构
[1] Kwangwoon Univ, Sch Informat Convergence, Seoul 01897, South Korea
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 22期
基金
新加坡国家研究基金会;
关键词
wireless body area network; interference management; channel allocation; graph clustering; graph coloring; BODY AREA NETWORKS;
D O I
10.3390/app122211851
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this paper, we propose a channel assignment method that can mitigate the inter-WBAN interference when the density of WBANs is high. To achieve the goal, we group the coexisting WBANs into a set of clusters by using the Louvain algorithm and allocate different channels to the WBANs in the same cluster by using a graph coloring method. By increasing the distance between the WBANs using the same channel, our method reduces the inter-WBAN interference. As a result, compared with the conventional centralized channel allocation method, our method increases the average data rate of a WBAN more than twice even when the number of coexisting WBANs is larger than the number of available channels. Compared with a distributed method involving an iterative process, our method reduces the channel decision time by 94.6%. Furthermore, since our method self-configures the algorithm parameters dynamically according to the topology changes, it can be used without human intervention even when the topology changes.
引用
收藏
页数:19
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