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DNBP-CCA:A Novel Approach to Enhancing Heterogeneous Data Traffic and Reliable Data Transmission for Body Area Network

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Computers, Materials & Continua 2024年第5期79卷 2851-2878页

作者： Abdulwadood Alawadhi Mohd.Hasbullah Omar Abdullah Almogahed Noradila Nordin Salman A.Alqahtani Atif M.Alamri InterNetWorks Research Laboratory School of ComputingUniversiti Utara MalaysiaSintok06010Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaParit RajaJohor86400Malaysia School of Games&Creative Technology University for the Creative ArtsFarnhamGU97DSUK Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The increased adoption of Internet of Medical Things (IoMT) technologies has resulted in the widespread use ofBody Area Networks (BANs) in medical and non-medical domains. However, the performance of IEEE 802.15.4-based BANs is impacted by challenges related to heterogeneous data traffic requirements among nodes, includingcontention during finite backoff periods, association delays, and traffic channel access through clear channelassessment (CCA) algorithms. These challenges lead to increased packet collisions, queuing delays, retransmissions,and the neglect of critical traffic, thereby hindering performance indicators such as throughput, packet deliveryratio, packet drop rate, and packet delay. Therefore, we propose Dynamic Next Backoff Period and Clear ChannelAssessment (DNBP-CCA) schemes to address these issues. The DNBP-CCA schemes leverage a combination ofthe Dynamic Next Backoff Period (DNBP) scheme and the Dynamic Next Clear Channel Assessment (DNCCA)scheme. The DNBP scheme employs a fuzzy Takagi, Sugeno, and Kang (tsk) model’s inference system toquantitatively analyze backoff exponent, channel clearance, collision ratio, and data rate as input parameters. Onthe other hand, the DNCCA scheme dynamically adapts the CCA process based on requested data transmission tothe coordinator, considering input parameters such as buffer status ratio and acknowledgement ratio. As a result,simulations demonstrate that our proposed schemes are better than some existing representative approaches andenhance data transmission, reduce node collisions, improve average throughput, and packet delivery ratio, anddecrease average packet drop rate and packet delay.

关键词： Internet of Medical Things body area networks backoff period tsk fuzzy model clear channel assessment media access control

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fuzzy model Based on Dynamic Weights of APs for Indoor Localization

Fuzzy Model Based on Dynamic Weights of APs for Indoor Local...

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第36届中国控制会议

作者： Chengcheng Lu Zheng Lv Linqing Wang Jun Zhao Wei Wang School of Control Science and Engineering Dalian University of Technology

ISBN: (纸本)9781538629185

Indoor localization technology based on the received signal strength（RSS） of wireless access point（AP） has become very popular in recent years.Considering that the Wi-Fi signal is unstable and uncertain,and the contribution of different APs to the localization are different,a fuzzy indoor localization algorithm based on dynamic weights of APs is proposed in this paper.The Multidimensional-Scaling Growing Clustering（MSGC） algorithm is employed to generate fuzzy rules flexibly without any prior knowledge.In order to maintain a compact and interpretable fuzzy rule base,the membership functions are merged according to the similarity of membership degree,and the consequent parameters are tuned by using the recursive linear-least-squares（RLS） algorithm.The gauss kernel function is adopted to weight different APs,and the iterative method is employed to assign weights for APs in different regions.The experimental results show that the proposed method could not only weaken the influence of unstable APs on the final results,but also reduce the update frequency of the fingerprint data.

关键词： Wi-Fi indoor localization tsk fuzzy model Gauss kernel function Dynamic weights of APs

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A tsk fuzzy Approach to Channel Estimation for OFDM Systems

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Journal of Electronic Science and Technology of China 2006年第2期4卷 101-105,109页

作者：张剑贺知明汪学刚罗家亮 SchoolofElectronic Engineering UniversityofElectronic Science and Technology ofChina Chengdu 610054 China UTStarcom Telecom R＆D Center Shenzhen 518057 China

This paper proposes a tsk fuzzy approach to channel estimation for Orthogonal Frequency Division Multiplexing （OFDM） systems. The information of dispersive fading channel is described by using tsk fuzzy model, which is updated by the pilot symbols. The proposed approach can trace the variation of channel and it is computationally simple. Its performance is tested via simulations. Results show that it is comparable to that of ideal Minimum Mean-Square-Error （MMSE） method, especially at the low Signal to Noise Ratio （SNR）.

关键词： orthogonal frequency division multiplexing tsk fuzzy model robust channel estimation

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