An Improved MAC Protocol for WBAN Through Modified Frame Structure

Choi, Jun Sung; Kim, Jeong Gon

doi:10.14257/ijsh.2014.8.2.08

Cited by 17 publications

(8 citation statements)

References 2 publications

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“…The Superframe structure of MAC [45] comprises of Exclusive Access Periods (EAP-I/ II), and Random Access Periods (RAP-I/II) using Traffic types Type-I and Type-II. The EAP-I and EAP-II are used to transmit emergency data with the support of TYPE-I.…”

Section: Predefined and Prediction Based Slot Allocationmentioning

confidence: 99%

Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Ullah

Abdullah

Kaiwartya

et al. 2017

Hum. Cent. Comput. Inf. Sci.

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Health monitoring using biomedical sensors has witnessed significant attention in recent past due to the evolution of a new research area in sensor network known as Wireless Body Area Networks (WBANs). In WBANs, a number of implantable, wearable, and off-body biomedical sensors are utilized to monitor various vital signs of patient’s body for early detection, and medication of grave diseases. In literature, a number of Medium Access Control (MAC) protocols for WBANs have been suggested for addressing the unique challenges related to reliability, delay, collision and energy in the new research area. The design of MAC protocols is based on multiple access techniques. Understanding the basis of MAC protocol designs for identifying their design objectives in broader perspective, is a quite challenging task. In this context, this paper qualitatively reviews MAC protocols for WBANs. Firstly, 802.15.4 and 802.15.6 based MAC Superframe structures are investigated focusing on design objectives. Secondly, different multiple access techniques such as TDMA, CSMA/CA, Slotted Aloha and Hybrid are explored in terms of design goals. Thirdly, a two-layered taxonomy is presented for MAC protocols. First layer classification is based on multiple access techniques, whereas second layer classification is based on design objectives and characteristics of MAC protocols. Critical and qualitative analysis is carried out for each considered MAC protocol. Comparative study of different MAC protocols is also performed. Finally, some open research challenges in the area are identified with initial research directions.

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Section: Predefined and Prediction Based Slot Allocationmentioning

confidence: 99%

Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Ullah

Abdullah

Kaiwartya

et al. 2017

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

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“…However, the proposal has been long circulating (79 circulations as of now) with mixed approval rates [31]. Additionally, as indicated in several studies [32] [33], the technology has a limited support of medical systems, such as patient monitoring systems that require reliable throughput assurance for monitoring patient life functions. Timmons et al [34] also demonstrated undesirably high power consumption of IEEE 802.15.6 (25.6% -33.2% higher than their baseline framework).…”

Section: Related Workmentioning

confidence: 99%

Throughput Assurance for Multiple Body Sensor Networks

Ren

Zhou

et al. 2016

IEEE Trans. Parallel Distrib. Syst.

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Existing research has demonstrated that inter-body sensor network (inter-BSN) information sharing among coexisting BSNs can enhance applications' performance and save energy. However, how to achieve effective inter-BSN information sharing through wireless communication is a challenging task. On one hand, a BSN should be able to discover neighboring BSNs and establish inter-BSN links with Quality of Service (QoS) assurances. On the other hand, a BSN should be able to prevent the QoS of intraand inter-BSN links from being degraded by multiple BSNs' mutual interference. In this paper, we propose BuddyQoS, a framework that provides network throughput assurances for coexisting and shared buddy BSNs. In particular, BuddyQoS accurately estimates and adaptively schedules wireless resources to meet the throughput requirements of all inter-and intra-BSN links. Our trace-driven experiment results demonstrate that BuddyQoS outperforms the default CSMA solution in the standard TinyOS-2.x releases in terms of providing throughput assurances.

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“…WBAN supports a wide range of medical and Consumer Electronics (CE) applications [1]. A wireless body sensor network (WBSN) environment is an applied network that was advanced from a WBAN environment [2], that allows communication within a body based on wireless sensor networks (WSNs) [3]. It is an environment where the condition of a patient is monitored in real time by collecting various data from the tools or node transplanted inside or outside the body.…”

Section: Introductionmentioning

confidence: 99%