Spectrum Allocation Scheme for Intelligent Partition Based on Machine Learning for Inter-WBAN Interference

Mu, Jiasong; Wei, Yunna; Ma, Hao; Li, Yuanyuan

doi:10.1109/mwc.001.1900551

Cited by 18 publications

(11 citation statements)

References 10 publications

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“…Various channel allocation methods have been proposed to mitigate the inter-WBAN interference. According to the operation mode, they can be categorized into the distributed methods [10,16,17,22,23], the centralized methods [24][25][26], and the hybrid methods [27]. In the distributed method, a coordinator in a WBAN decides the channel to use, while a remote server determines the channels for WBANs in the centralized method.…”

Section: Channel Allocation Methodsmentioning

confidence: 99%

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

Song¹,

Park²

2022

Applied Sciences

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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.

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Section: Channel Allocation Methodsmentioning

confidence: 99%

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

Song¹,

Park²

2022

Applied Sciences

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“…In wireless communication, the tire-1 is classified as an intra-WBAN communication, where sensor nodes are static, and the distance between sensor nodes and PDA is very short. [3] presented a spectrum allocation method for inter-WBAN. The approach tried to mitigate the inter-WBAN interference in a dense deployment using a machine learning-based intelligent partition method for clustering.…”

Section: Review Of Related Studiesmentioning

confidence: 99%

“…Due to the large number of aged people, the cost of healthcare may increase significantly. In this case, WBANs can provide senior citizens with a cost-effective healthcare system [3]. WBANs can be a possible solution for the aging society's healthcare, various chronic diseases, and shortage of medical facilities.…”

Section: Introductionmentioning

confidence: 99%

Distributed Energy-Efficient Clustering and Routing for Wearable IoT Enabled Wireless Body Area Networks

2023

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Recently, the wearable internet of things (WIoT) has brought a new dimension of connectivity to wireless body area networks (WBANs). For instance, the WIoT provides valuable functions, such as collecting, analyzing, and transmitting data for real-time health monitoring of medical services. However, designing a clustering and routing protocol is challenging because WIoT attributes are subject to high interference in dense deployment, social mobility, and limited energy. In a WIoT-enabled WBAN, cooperative control is the fundamental function of clustering and routing. Cluster-based routing protocols are preferred for WBAN because of their scalability. However, one-hop neighbor-based clustering approaches do not ensure connectivity and reachability owing to node mobility. The existing two-hop-based clustering protocols are mostly centralized-based approaches, which are unsuitable for dynamic WBANs. In this paper, we propose a distributed energy-efficient two-hop-based clustering and routing protocol (DECR) targeting WIoT-enabled WBAN. In DECR, in the cluster formation phase, each node obtains the information of its neighbor nodes within the two-hop range. We utilize the modified grey-wolf optimization algorithm for the cluster head (CH) selection and routing optimization. Node connectivity and residual energy were jointly considered when determining the CH in each cluster. We also developed an analytical model to determine the optimal number of clusters by considering intra-and inter-cluster transmission distances to reduce the overall transmission distance and number of transmissions. Finally, we proposed a routing algorithm to ensure energy-efficient packet delivery from CH to sink. Our simulation outcomes revealed that the proposed DECR significantly outperforms the existing clustering and routing protocols in various performance metrics.INDEX TERMS Wearable internet of things, clustering, two-hop range, distributed, cluster head, energyefficiency, grey wolf optimization, routing, wireless body area network (WBAN).

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“…J. Mu et al [44] propose a channel allocation scheme to WBANs to avoid interference among them. The channel allocation is realized by k-means clustering and vertex coloring algorithm based on the WBANs' locations and the distances among the WBANs.…”

Section: Radio Interference Avoidance In Wireless Networkmentioning

confidence: 99%

“…These works [43], [44] assume radio interference among WBANs deployed in a small area, and consider interference avoidance only in time domain [43] or frequency domain [44]. On the other hand, this paper consider control in frequency and space domains in ZigBee networks that suffer radio interference from Wi-Fi networks.…”

Section: Radio Interference Avoidance In Wireless Networkmentioning

confidence: 99%

Joint Channel Allocation and Routing for ZigBee/Wi-Fi Coexistent Networks

Tanigawa

Nishikori

Kinoshita

et al. 2021

IEICE Trans. Inf. & Syst.

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Spectrum Allocation Scheme for Intelligent Partition Based on Machine Learning for Inter-WBAN Interference

Cited by 18 publications

References 10 publications

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

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

Distributed Energy-Efficient Clustering and Routing for Wearable IoT Enabled Wireless Body Area Networks

Joint Channel Allocation and Routing for ZigBee/Wi-Fi Coexistent Networks

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