Cross-Layer Design and Performance Analysis of Quality of Service Control Scheme for Wireless Body Area Networks

Takabayashi, Kento; Tanaka, Hirokazu; Sugimoto, Chika; Sakakibara, Katsumi; Kohno, Ryuji

doi:10.1109/access.2017.2762078

Cited by 6 publications

(6 citation statements)

References 34 publications

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“…A cross-layer approach is an important technique to optimize the QoS requirement of different types of data. In [46], the authors utilized a cross-layer design between the physical layer and MAC layers. Analyze and compare the performance of the QoS control scheme and standard scheme.…”

Section: Quality Of Servicementioning

confidence: 99%

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A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

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Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as well as more communication traffic. It also impacts on the overall network lifespan and performance of the system. Energy efficiency and network lifespan are the primary concern of WSN due to the fact that each node in the network operates with extremely limited energy. Recent studies have shown that the Open System Interconnection (OSI) model cannot meet the demands of the wireless sensor network. To overcome such limitations, the cross-layer design has been introduced. It allows direct interactions between protocol at non-adjacent layers. In this paper, we present different types of cross-layer design techniques in Wireless Sensor Network (WSN) and discusses several cross-layer proposals given by researchers. At the end, the paper highlights some challenges faced in implementing CLD in Wireless Sensor Networks.

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Section: Quality Of Servicementioning

confidence: 99%

“…Evaluate the performance of the current protocol in terms of node mobility and loss. [46] CLD approach for QoS in WBAN…”

Section: Mac Layer and Physical Layermentioning

confidence: 99%

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

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“…On the basis of this study and other works like [12, 19], in which techniques are devised to predict image patterns in intelligent vehicles, as well as in [16, 17, 20–22], the authors are able to suggest improvements in source coding to optimize the performance of these systems. In view of this, it is necessary to optimally map the packet loss, with application layer features (PSNR and MOS), which some authors regard as a Cross-Layer approach [23, 24].…”

Section: Related Workmentioning

confidence: 99%

Video loss prediction model in wireless networks

et al. 2019

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This work discusses video communications over wireless networks (IEEE 802.11ac standard). The videos are in three different resolutions: 720p, 1080p, and 2160p. It is essential to study the performance of these media in access technologies to enhance the current coding and communications techniques. This study sets out a video quality prediction model that includes the different resolutions that are based on wireless network terms and conditions, an approach that has not previously been adopted in the literature. The model involves obtaining Service and Experience Quality Metrics, such as PSNR (Peak Signal-to-Noise Ratio) and packet loss. This article outlines a methodology and mathematical model for video quality loss in the wireless network from simulated data and its accuracy is ensured through the use of performance metrics (RMSE and Standard Deviation). The methodology is based on two mathematical functions, (logarithmic and exponential), and their parameters are defined by linear regression. The model obtained RMSE values and standard deviation of 2.32 dB and 2.2 dB for the predicted values, respectively. The results should lead to a CODEC (Coder-Decoder) improvement and contribute to a better wireless networks design.

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“…Here, Rsym is the symbol rate; Lpreamble, LSFD, LPLCPheader, and LPSDU are the length of the preamble, SFD, PLCP header, and PSDU, respectively; Ptx and Prx are transmitter and receiver power consumption, respectively; and εenc and εdec are encoding and decoding energies, respectively [26,27,28,29,30,31].…”

Section: Integrated Performance Evaluationmentioning

confidence: 99%

Integrated Performance Evaluation of the Smart Body Area Networks Physical Layer for Future Medical and Healthcare IoT

Takabayashi

Tanaka

Sakakibara

2018

Sensors

Self Cite

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This paper performs integrated performance evaluation, including preamble detection in the Smart Body Area Networks (SmartBAN) physical layer (PHY). The system specifications for a PHY and media access control layer (MAC) in SmartBAN, which is a standard for medical and health care advanced by the European Telecommunications Standards Institute (ETSI), were issued in April 2015. In the PHY, the packet structure has a two-octet preamble, which is used, e.g., for timing synchronization. However, it is considered that the current preamble structure is not appropriate for handling medical and healthcare data that are required to have high reliability because of the too simple structure. Therefore, we propose adding a start frame delimiter (SFD) to correctly detect the header position. Computer simulations indicate that preambles with an SFD consisting of an orthogonal maximal length sequence (M-sequence) perform better than SmartBAN and similar approaches, particularly when transmitting over the IEEE model CM3. In addition, the packet error ratio (PER) and energy efficiency are evaluated in an integrated manner while taking preamble detection into consideration. The numerical results from computer simulations indicated the best performance with respect to PER was achieved using a preamble with orthogonal M-sequences of 4 octets. However, for energy efficiency, better results were obtained using a preamble with orthogonal M-sequences of 2 octets. Additionally, the theoretical analysis found the optimum length of the PHY packet to achieve the maximum energy efficiency with PER less than 10−2.

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Cross-Layer Design and Performance Analysis of Quality of Service Control Scheme for Wireless Body Area Networks

Cited by 6 publications

References 34 publications

A Review on Cross-Layer Design Approach in WSN by Different Techniques

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Video loss prediction model in wireless networks

Integrated Performance Evaluation of the Smart Body Area Networks Physical Layer for Future Medical and Healthcare IoT

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