Conservation-Oriented Resource Scheduling for Interference Mitigation in Dynamic Coexisting Wireless Body Area Networks

The severe interferences can significantly degrade the comprehensive performance of Wireless Body Area Networks (WBANs). However, current interference mitigation solutions cannot accommodate to the network scale diversity and cannot guarantee light enough transmission conflicts. In this article, we propose a conservation-oriented resource scheduling (CORS) strategy to address the current problems. For ordinary data transmissions, we design an economical resource allocation scheme based on a specific Latin square, which is divided into several groups to economically allocate channels and timeslots for nodes, resulting in great resource saving and interference reduction. For data retransmissions, we design a differentiated resource allocation scheme based a specific hash function, in which a large module is designed to obtain significant difference of retransmission timeslots for different nodes, resulting in further interference reduction. The striking characteristics of CORS are twofold: one is the broad application range, due to the adaptation of different scales of WBANs, and the other is the high network reliability, due to the low-frequency transmission conflicts. Extensive simulation results show that our strategy has distinct performance advantages in terms of five metrics: average packet loss rate, average delay, average throughput, average power consumption, and channel utilization.

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Publication Details

Journal
IEEE Transactions on Green Communications and Networking
Published
2025-06-16
DOI
https://doi.org/10.1109/tgcn.2025.3579752
Citations
2
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
1.35

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article

Conservation-Oriented Resource Scheduling for Interference Mitigation in Dynamic Coexisting Wireless Body Area Networks

Victor C. M. Leung, Huan Zhou, Xuxun Liu, S. H. Huang
2 citations
IEEE Transactions on Green Communications and Networking
Wireless Body Area Networks
1.35
article

Conservation-Oriented Resource Scheduling for Interference Mitigation in Dynamic Coexisting Wireless Body Area Networks

Victor C. M. Leung, Huan Zhou, Xuxun Liu, S. H. Huang
article en
2 citations

Abstract

The severe interferences can significantly degrade the comprehensive performance of Wireless Body Area Networks (WBANs). However, current interference mitigation solutions cannot accommodate to the network scale diversity and cannot guarantee light enough transmission conflicts. In this article, we propose a conservation-oriented resource scheduling (CORS) strategy to address the current problems. For ordinary data transmissions, we design an economical resource allocation scheme based on a specific Latin square, which is divided into several groups to economically allocate channels and timeslots for nodes, resulting in great resource saving and interference reduction. For data retransmissions, we design a differentiated resource allocation scheme based a specific hash function, in which a large module is designed to obtain significant difference of retransmission timeslots for different nodes, resulting in further interference reduction. The striking characteristics of CORS are twofold: one is the broad application range, due to the adaptation of different scales of WBANs, and the other is the high network reliability, due to the low-frequency transmission conflicts. Extensive simulation results show that our strategy has distinct performance advantages in terms of five metrics: average packet loss rate, average delay, average throughput, average power consumption, and channel utilization.

IEEE Transactions on Green Communications and NetworkingVol. 10
Northwestern Polytechnical University (CN), Shenzhen University (CN), South China University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Wireless Body Area Networks
1.35
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Conservation-Oriented Resource Scheduling for Interference Mitigation in Dynamic Coexisting Wireless Body Area Networks — Victor C. M. Leung, Huan Zhou, et al. · IEEE Transactions on Green Communications and Networking (2025) | TGRS Research Map | TGRS