Multi-dimensional traffic adaptive energy-efficient MAC protocol for Wireless Body Area Networks

Hossain, Md. Uzzal; Dilruba,; Kalyan, Mondira; Rana, Md. Rasel; Rahman, Md. Obaidur

doi:10.1109/ifost.2014.6991095

Cited by 13 publications

(14 citation statements)

References 6 publications

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“…Hence, the following properties are generally required in designing traffic adaptive MAC protocols. [21,26,51,53]. Besides, some MAC protocols address another special class of traffic referred to as emergency traffic [54][55][56][57][58][59][60][61][62][63].…”

Section: Challenges Of Traffic Adaptive Mac Protocols In Wbansmentioning

confidence: 99%

“…ATLAS improves energy efficiency in case of low traffic load and creates a balance between energy consumption and PDR with low delay in case of high traffic load. However, ATLAS ignores traffic prioritization [26].…”

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

“…The PLA-MAC improves the delay and PDR. However, PLA-MAC does not consider diverse traffic loads [26].…”

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

“…The paper [26] presents a Multidimensional Traffic Adaptive MAC (MDTA-MAC) protocol to achieve energy efficiency with low delay using traffic load estimation. The proposed protocol performs traffic classification and prioritization.…”

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

“…These include [3,[20][21][22][23][24]. In addition, some traffic adaptive MAC protocols are also proposed for IEEE 802.15.6 such as [25,26]. In this article, we summarize these works and analyze the current research trends that focused on traffic adaptivity issues in WBAN MAC layer.…”

Section: Introductionmentioning

confidence: 99%

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Traffic Adaptive MAC Protocols in Wireless Body Area Networks

Masud

Abdullah

Abdul-Salaam

et al. 2017

Wireless Communications and Mobile Computing

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In Wireless Body Area Networks (WBANs), every healthcare application that is based on physical sensors is responsible for monitoring the vital signs data of patient. WBANs applications consist of heterogeneous and dynamic traffic loads. Routine patient’s observation is described as low-load traffic while an alarming situation that is unpredictable by nature is referred to as high-load traffic. This paper offers a thematic review of traffic adaptive Medium Access Control (MAC) protocols in WBANs. First, we have categorized them based on their goals, methods, and metrics of evaluation. The Zigbee standard IEEE 802.15.4 and the baseline MAC IEEE 802.15.6 are also reviewed in terms of traffic adaptive approaches. Furthermore, a comparative analysis of the protocols is made and their performances are analyzed in terms of delay, packet delivery ratio (PDR), and energy consumption. The literature shows that no review work has been done on traffic adaptive MAC protocols in WBANs. This review work, therefore, could add enhancement to traffic adaptive MAC protocols and will stimulate a better way of solving the traffic adaptivity problem.

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Section: Challenges Of Traffic Adaptive Mac Protocols In Wbansmentioning

confidence: 99%

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

“…The PLA-MAC improves the delay and PDR. However, PLA-MAC does not consider diverse traffic loads [26].…”

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

Section: Traffic Load Estimation (Tle) Based Mac Protocolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Traffic Adaptive MAC Protocols in Wireless Body Area Networks

Masud

Abdullah

Abdul-Salaam

et al. 2017

Wireless Communications and Mobile Computing

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CognitiveIoT‐Based Health Monitoring Scheme Using Non‐Orthogonal Multiple Access

Rahul

Sabuj

Haider

et al. 2022

Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks

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It has become very essential to address the limited spectrum capacity and their efficient utilization to support the increasing number of Internet of Things devices. When it comes to medical infrastructure, it becomes very imperative for medical devices to communicate with the base station. In such situations, communication over the wireless medium must provide optimized throughput (data rate) with effectual energy usage, which will ensure precise medical feedback by the responsible staff. Taking into account, it is necessary to operate wireless communication precisely at a higher frequency with more substantial bandwidth and low latency. Cognitive Radio (CR) is traditionally a viable choice, where it identifies and utilizes the vacant spectrum, thus maximizing the primary user's capacity and achieving spectral efficiency. To ensure such outcomes, the Non-Orthogonal Multiple Access (NOMA) techniques have proven to deliver an effective solution to the increasing number of devices with unimpaired performance, especially when the communication shifts towards a higher frequency band such as the mmWave band. In this chapter, IoT based CR network in uplink communication is proposed alongside employing NOMA techniques for optimal throughput, and energy efficiency for a medical infrastructure. Numerical results show that effectual throughput and energy efficiency for a High Reliable Communication (HRC) device and Moderate Reliable Communication (MRC) device improve over 83.13% and 73.95%, respectively and their corresponding energy efficacy values show vast improvement (83.11% and 73.96% respectively). Likewise, for interference case both the throughput and the energy efficiency improve approximately over 93% for all devices. physiological data. Thus, alerting the person to take necessary precautions and assist the medical professionals to make sound decisions regarding the appropriate treatment to cure diseases in the right time [3 -5].Due to the huge prospects of WBAN bringing revolutionary changes in telemedicine systems with real deployment of IoT, some different wireless standards have been proposed. IEEE wireless standard 802.15 defined as wireless personal area network (WPAN) is considered as suitable technology to fulfill the purpose of e-health systems [4]. IEEE 802.15 standard has several versions such as 802.15.1 and 802.15.4. These are commonly known as Bluetooth and ZigBee respectively, which are widely used as low power consumed, short ranged and low data transfer enabled wireless technology for infotainment and health care services [6]. Later on, IEEE originated 802.15.6 named as WBAN particularly developed for telemedicine systems with improvement in data reliability, sensor life time, latency and interference [7].In the near future, a large number of sensors will be deployed on the body of the patients through WBANs to manage healthcare services remotely and provide intuitive decisions of medical professionals more dynamically. Therefore, handling big amounts of situationalawareness data in healthcare se...

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