Optimization mechanism of energy efficiency in coexisting wireless body area networks

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Yuting Qian, Kunqi Guo
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Abstract

This paper studies the optimization of energy efficiency in coexisting wireless body area networks (WBANs). A solution based on combining a naive Bayesian classifier with the Hungarian algorithm is proposed to improve link transmission energy efficiency. The solution is implemented in the following three steps: Firstly, the interference from surrounding WBANs is identified based on a naive Bayesian classifier considering the distance among WBANs, the residual energy of the sensor nodes, and the transmission power of the sensor nodes. Secondly, the signal-to-interference plus noise ratio is determined according to the results of the naive Bayesian classifier. Thirdly, the time slots are allocated adaptively by using the Hungarian algorithm to maximize the overall energy efficiency. The simulation results show that the scheme can improve the overall energy efficiency of the WBAN significantly while ensuring quality of service. In comparison with the iterative algorithm and the PONF algorithm, the proposed scheme has obvious advantages in improving energy efficiency.

Abstract Image

共存无线体域网络能效优化机制
本文研究了共存无线体域网络(wban)的能效优化问题。提出了一种基于朴素贝叶斯分类器和匈牙利算法相结合的解决方案,以提高链路传输的能量效率。该解决方案分为以下三个步骤:首先,基于朴素贝叶斯分类器,考虑wban之间的距离、传感器节点的剩余能量和传感器节点的传输功率,识别周围wban的干扰;其次,根据朴素贝叶斯分类器的结果确定信噪比;第三,采用匈牙利算法自适应分配时隙,使整体能源效率最大化。仿真结果表明,该方案在保证服务质量的同时,显著提高了WBAN的整体能效。与迭代算法和PONF算法相比,该方案在提高能效方面具有明显优势。
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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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