Using body sensor networks for motion detection: a cluster‐based approach for green radio

Lan, Kun-Chan; Chou, Chien-Ming; Wang, Tzu-nung; Li, Mei-Wen

doi:10.1002/ett.2559

Cited by 4 publications

(6 citation statements)

References 60 publications

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“…Thus, the membrane can be considered to be another layer in between the two dissimilar media by including the value of k Equations (1) and (3). However, in this work, the partition coefficient is set to be unity, and the interlayer has perfect contact between the two layers.…”

Section: (Ii) Propagation Processmentioning

confidence: 99%

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Multilayer diffusion‐based molecular communication

Mustam

Yusof

Nejatian

2015

Trans. Emerging Tel. Tech.

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Diffusion-based molecular communication (DBMC) has emerged as a promising communication option, particularly for biomedical and healthcare applications. Although, numerous studies have been conducted to evaluate and analyse DBMC system, investigation on DBMC through multilayer channels has had less attention. In this paper, a closed-form expression is derived for the mean molecular concentration over an n-layer channel. An averaged diffusion coefficient for thin, dissimilar and multilayer propagation channels is determined through the addition of a diffusion resistance for each medium analogously to the sum of series resistors in circuit theory. The channel characteristics such as impulse response, time delay and attenuation are analytically obtained using amplitude detection technique. The effects of layer thickness and the distance between a transmitter nanomachine and a receiver nanomachine on the channel time delay and channel attenuation under the pulse modulation scheme are evaluated and discussed. The results show that increasing the diffusion coefficient leads to time delay decrements; however, the channel attenuation remains unchanged. Moreover, lengthening the transmission distance increases the time delay and decreases the channel attenuation.

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Section: (Ii) Propagation Processmentioning

confidence: 99%

“…A comprehensive overview of the DBMC process is addressed in . The concept of body area nanonetworks with DBMC for healthcare applications, which is different in comparison to the traditional body sensor networks or body area networks , is introduced in .…”

Section: Introductionmentioning

confidence: 99%

Multilayer diffusion‐based molecular communication

Mustam

Yusof

Nejatian

2015

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

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“…Such sensors are used to observe the surrounding environment, collect certain information and take proper actions on it. Wireless sensor network (WSN) using IEEE 802.15.4 standard is expected to play a key role in a diverse set of applications, for example, medical field [1][2][3], agriculture, environment monitoring, security purposes (intrusion detection), military, motion detection [4], sports [5,6] and entertainments. For example, in the medical field, a WSN attached to a body (wireless body sensor network (WBSN)) to collect the vital signs can remotely monitor the medical condition of a patient such as blood pressure, heartbeat or even blood sugar.…”

Section: Introductionmentioning

confidence: 99%

A survey of IEEE 802.15.4 effective system parameters for wireless body sensor networks

Moravejosharieh

Lloret

2015

Int J Communication

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SUMMARYWireless body sensor networks are offered to meet the requirements of a diverse set of applications such as health-related and well-being applications. For instance, they are deployed to measure, fetch and collect human body vital signs. Such information could be further used for diagnosis and monitoring of medical conditions. IEEE 802.15.4 is arguably considered as a well-designed standard protocol to address the need for low-rate, low-power and low-cost wireless body sensor networks. Apart from the vast deployment of this technology, there are still some challenges and issues related to the performance of the medium access control (MAC) protocol of this standard that are required to be addressed. This paper comprises two main parts. In the first part, the survey has provided a thorough assessment of IEEE 802.15.4 MAC protocol performance where its functionality is evaluated considering a range of effective system parameters, that is, some of the MAC and application parameters and the impact of mutual interference. The second part of this paper is about conducting a simulation study to determine the influence of varying values of the system parameters on IEEE 802.15.4 performance gains. More specifically, we explore the dependability level of IEEE 802.5.4 performance gains on a candidate set of system parameters. Finally, this paper highlights the tangible needs to conduct more investigations on particular aspect(s) of IEEE 802.15.4 MAC protocol.

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“…In particular, today's hospitals have deployed numerous devices over wires for various medical applications such as patient monitoring, diagnosis, treatment and medical alarm. In order to reduce the deployment cost and time for plugging in more devices, there exists a surge of demand for replacing wires by wireless technologies . Wireless technologies not only reduce the deployment cost but also increase the mobility and comfort of patients by removing wires.…”

Section: Introductionmentioning

confidence: 99%

“…However, those deployment efforts have been mainly led by the industry as an ad hoc site‐specific engineering issue rather than a fundamental network design issue by the research community. Though there have been recently a certain amount of research efforts in wireless medical networks, for example, , there still lacks a systematic network design paradigm that properly takes into account medical‐grade QoS.…”

Section: Introductionmentioning

confidence: 99%

Design of a medical‐grade QoS metric for wireless environments

Park

Lee

Choi

et al. 2014

Trans. Emerging Tel. Tech.

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In this letter, we introduce medical-grade quality of service (QoS) for wireless healthcare applications. We first investigate the basic QoS requirements of medical applications. We point out that the conventional QoS metric of the packet error rate (PER) is insufficient for evaluating the QoS level of medical applications. The most critical concern in medical-grade QoS is whether the received data can be diagnosed by medical personnel, that is, medical diagnosability. As a prevailing application, we present a medical-grade QoS metric for wireless electrocardiogram (ECG) transmission. The introduced QoS metric, called weighted diagnostic distortion (WDD), can properly evaluate medical-grade QoS by reflecting the main diagnostic features of an ECG signal. Our simulation results demonstrate that there can be a significant discrepancy between WDD and PER, which confirms the importance of developing a medical-grade QoS metric by properly taking into account the key characteristics of medical traffic.

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Using body sensor networks for motion detection: a cluster‐based approach for green radio

Cited by 4 publications

References 60 publications

Multilayer diffusion‐based molecular communication

Multilayer diffusion‐based molecular communication

A survey of IEEE 802.15.4 effective system parameters for wireless body sensor networks

Design of a medical‐grade QoS metric for wireless environments

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