Energy Efficiency Evaluation of ECC Scheme Utilizing Decomposable Codes in IEEE Std 802.15.6 Based WBANs

Takabayashi, Kento; Karvonen, Heikki; Paso, Tuomas; Tanaka, Hirokazu; Sugimoto, Chika; Kohno, Ryuji

doi:10.4108/eai.28-9-2015.2261439

Cited by 3 publications

(17 citation statements)

References 11 publications

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“…In our previous studies, a decomposable error control code was used to optimize the QoS levels of different data types . As an example of a decomposable code, a punctured convolutional code with a constraint length K = 3 and coding rates of 8/9–1/2 was used as a reference .…”

Section: Decomposable Error Control Codingmentioning

confidence: 99%

“…We based our energy consumption model on those in Refs. . The energy consumption for the communication link was calculated as follows:

\begin{matrix} E_{link} = (T_{TOT} + N_{t x} T_{A C K}) (P_{t x, R F} + P_{t x, circ} \\ + P_{r x}) + N_{t x} (ϵ_{e n c} + ϵ_{d e c}) \end{matrix}

T_{TOT} = true {truefalse\sum}_{i = 1}^{N_{normalt normalx}} \frac{L_{packet, i}}{R}

L_{packet, i} = L_{normalP normalH normalR} + L_{normalS normalH normalR} + L_{PSDU, i}

L_{PSDU, i} = \frac{n_{i} m_{i}}{k_{0}} L_{info}

T_{normalA normalC normalK} = \frac{L_{A C K}}{R}

where L ACK is the acknowledgement (ACK) packet length, R is the uncoded data rate, T ACK is the duration of an ACK packet, L PHR is the length of a physical layer header (PHR), L SHR is the length of a synchronization header (SHR), L PSDU, i is the length of a physical layer service data unit (PSDU) for the i th trans...…”

Section: Energy Efficiency Modelmentioning

confidence: 99%

“…It is expected that m‐IoT will allow continuous monitoring of the user's physical condition and help preempt serious illnesses. In the field of m‐IoT systems, the wireless body area network (WBAN) is a key technology . Extensive work on the standardization of such systems has been carried out .…”

Section: Introductionmentioning

confidence: 99%

“…The quality of service (QoS) control must ensure that different types of data can be communicated as efficiently as possible at a satisfactory quality level. The optimal QoS control of input data is therefore an important factor in sensor data transmission [11][12][13][14].…”

mentioning

confidence: 99%

“…[11,12]. A further study investigated the energy efficiency of the proposed scheme in the AWGN channel using computer simulations [14]. Energy efficiency is an important factor because WBAN nodes are small and their battery capacity is limited.…”

mentioning

confidence: 99%

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Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

Takabayashi

Karvonen

Paso

et al. 2017

IEEJ Transactions Elec Engng

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This paper presents a comprehensive performance evaluation of an error control scheme using decomposable codes while satisfying quality of service (QoS) requirements in a multiple‐wireless body area network (WBAN) environment. Our QoS control scheme comprises a multiplexing layer and decomposable error control coding used to adapt the communication parameters and satisfy the different performance requirements of different types of WBAN data traffic. Using mathematical analysis and simulations, it has been shown in previous studies that this method has a better residual bit error ratio (RBER) and throughput performance than that of an IEEE 802.15.6‐based solution. The energy efficiency of the proposed method was recently evaluated for an additive white Gaussian noise case. In this work, this performance evaluation IS complemented by simulating the RBER performance under a defined worst case scenario. The energy efficiency is compared with that of the IEEE 802.15.6 solution using a realistic WBAN channel model and accounting for the interference from neighboring WBANs. Results from the previous studies and the new results are given to provide a complete description of the performance of our method. The results demonstrate that an error control scheme based on decomposable codes satisfies the QoS requirements of different data types and provides a more flexible and energy efficient QoS control than that of the IEEE 802.15.6 solution. The scheme is also shown to guarantee communication performance in the worst case scenario, whereas the IEEE 802.15.6 solution fails to do so. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Decomposable Error Control Codingmentioning

confidence: 99%

“…We based our energy consumption model on those in Refs. . The energy consumption for the communication link was calculated as follows:

\begin{matrix} E_{link} = (T_{TOT} + N_{t x} T_{A C K}) (P_{t x, R F} + P_{t x, circ} \\ + P_{r x}) + N_{t x} (ϵ_{e n c} + ϵ_{d e c}) \end{matrix}

T_{TOT} = true {truefalse\sum}_{i = 1}^{N_{normalt normalx}} \frac{L_{packet, i}}{R}

L_{packet, i} = L_{normalP normalH normalR} + L_{normalS normalH normalR} + L_{PSDU, i}

L_{PSDU, i} = \frac{n_{i} m_{i}}{k_{0}} L_{info}

T_{normalA normalC normalK} = \frac{L_{A C K}}{R}

Section: Energy Efficiency Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

Takabayashi

Karvonen

Paso

et al. 2017

IEEJ Transactions Elec Engng

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Performance analysis of cross-layer approach about error control scheme for WBANs

Takabayashi

Tanakay

Sugimoto

et al. 2017

2017 11th International Symposium on Medical Information and Communication Technology (ISMICT)

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Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

Kadel

Islam

Ahmed

et al. 2018

JSAN

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This paper offers a review of different types of Error Correction Scheme (ECS) used in communication systems in general, which is followed by a summary of the IEEE standard for Wireless Body Area Network (WBAN). The possible types of channels and network models for WBAN are presented that are crucial to the design and implementation of ECS. Following that, a literature review on the proposed ECSs for WBAN is conducted based on different aspects. One aspect of the review is to examine what type of parameters are considered during the research work. The second aspect of the review is to analyse how the reliability is measured and whether the research works consider the different types of reliability and delay requirement for different data types or not. The review indicates that the current literatures do not utilize the constraints that are faced by WBAN nodes during ECS design. Subsequently, we put forward future research challenges and opportunities on ECS design and the implementation for WBAN when considering computational complexity and the energy-constrained nature of nodes.

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Energy Efficiency Evaluation of ECC Scheme Utilizing Decomposable Codes in IEEE Std 802.15.6 Based WBANs

Cited by 3 publications

References 11 publications

Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

Performance evaluation of a QoS‐aware error control scheme for multiple‐WBAN environment

Performance analysis of cross-layer approach about error control scheme for WBANs

Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

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