A MAC Protocol for Medical Monitoring Applications of Wireless Body Area Networks

Shu, Minglei; Yuan, Di; Zhang, Chongqing; Wang, Yinglong; Chen, Changfang

doi:10.3390/s150612906

Cited by 55 publications

(29 citation statements)

References 29 publications

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“…It presented three types of MAC Superframe structures. The first type is the enabled-Beacon MAC, consisting of a beacon, Exclusive Access Phase (EAP-I-II), Random Access Phase (RAP-I-II), Type (I-II) and CAP period [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. The channel allocation policy to BMSs is based on the contention using CSMA/CA or slotted Aloha schedule access scheme.…”

Section: Super-frame Structurementioning

confidence: 99%

“…However, other types of data has not been allowed to contend and access the dedicated channels of emergency data. In [17], the interrupt has been introduced which starts a new session of Beacon interval (BI) any time. However, this suggested MAC stops the slots allocation processes of other BMSs and start new session which reduces the performance of MAC protocol in terms of collision due to the elimination of previous slot allocation.…”

Section: Introductionmentioning

confidence: 99%

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TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network

et al. 2017

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Recently, Wireless Body Area Network (WBAN) has witnessed significant attentions in research and product development due to the growing number of sensor-based applications in healthcare domain. Design of efficient and effective Medium Access Control (MAC) protocol is one of the fundamental research themes in WBAN. Static on-demand slot allocation to patient data is the main approach adopted in the design of MAC protocol in literature, without considering the type of patient data specifically the level of severity on patient data. This leads to the degradation of the performance of MAC protocols considering effectiveness and traffic adjustability in realistic medical environments. In this context, this paper proposes a Traffic Priority-Aware MAC (TraPy-MAC) protocol for WBAN. It classifies patient data into emergency and non-emergency categories based on the severity of patient data. The threshold value aided classification considers a number of parameters including type of sensor, body placement location, and data transmission time for allocating dedicated slots patient data. Emergency data are not required to carry out contention and slots are allocated by giving the due importance to threshold value of vital sign data. The contention for slots is made efficient in case of non-emergency data considering threshold value in slot allocation. Moreover, the slot allocation to emergency and non-emergency data are performed parallel resulting in performance gain in channel assignment. Two algorithms namely, Detection of Severity on Vital Sign data (DSVS), and ETS Slots allocation based on the Severity on Vital Sign (ETS-SVS) are developed for calculating threshold value and resolving the conflicts of channel assignment, respectively. Simulations are performed in ns2 and results are compared with the state-of-the-art MAC techniques. Analysis of results attests the benefit of TraPy-MAC in comparison with the state-of-the-art MAC in channel assignment in realistic medical environments.

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Section: Super-frame Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network

et al. 2017

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“…WBASNs [2] use two types of MAC mechanisms for periodic and urgent data traffic, that is, CSMA/CA and time-division multiple access (TDMA). CSMA/CA is the contention based channel access where nodes need to compete for the channel in the contention access period (CAP), whereas TDMA is a contentionless and scheduled (on time slots) channel access mechanism.…”

Section: Mac Protocols For Medical Applications and Healthcare Systemsmentioning

confidence: 99%

“…With the increasing interest of medical applications in remote healthcare, WBASN (Wireless Body Area Sensor Network) has received significant attention from both academic researchers and industry practitioners [1][2][3][4]. Personal assistance [5], patient monitoring [6], environment, and military [7] are considered as a popular application area for WBASN.…”

Section: Introductionmentioning

confidence: 99%

Delay, Reliability, and Throughput Based QoS Profile: A MAC Layer Performance Optimization Mechanism for Biomedical Applications in Wireless Body Area Sensor Networks

Akbar

Cang

2016

Journal of Sensors

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Recently, increasing demand for remote healthcare monitoring systems poses a specific set of Quality of Services (QoS) requirements to the MAC layer protocols and standards (IEEE 802.15.6, IEEE 802.15.4, etc.) of Wireless Body Area Sensor Networks (WBASNs). They mainly include time bounded services (latency), reliable data transmission, fair channel distribution, and specified data rates. The existing MAC protocols of WBASNs are lack of a specific set of QoS. To address this, the paper proposes a QoS profile named delay, reliability, and throughput (DRT). The QoS values computed through DRT profile provide maximum reliability of data transmission within an acceptable latency and data rates. The DRT is based on the carrier sense multiple access with collision avoidance (CSMA/CA) channel access mechanism and considers IEEE 802.15.4 (low-rate WPAN) and IEEE 802.15.6 (WBASN). Further, a detailed performance analysis of different frequency bands is done which are standardized for WBASNs, that is, 420 MHz, 868 MHz, 2.4 GHz, and so forth. Finally, a series of experiments are conducted to produce statistical results for DRT profile with respect to delay, reliability, and packet delivery ratio (PDR). The calculated results are verified through extensive simulations in the CASTALIA 3.2 framework using the OMNET++ network simulator.

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“…These degrade performance of 802.15.4 MAC resulting in higher energy consumption. Due to the limited channels, non-dedicated channels are allocated, beacon interval (BI) time becomes insufficient resulting in channels interferences, and thus, BMSs need to wait for the transmission of data in the next session of BI [9,10].…”

Section: Introductionmentioning

confidence: 99%

Traffic Priority-Aware Adaptive Slot Allocation for Medium Access Control Protocol in Wireless Body Area Network

et al. 2017

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Biomedical sensors (BMSs) monitor the heterogeneous vital signs of patients. They have diverse Quality of Service (QoS) requirements including reduced collision, delay, loss, and energy consumption in the transmission of data, which are non-constrained, delay-constrained, reliability-constrained, and critical. In this context, this paper proposes a traffic priority-aware adaptive slot allocation-based medium access control (TraySL-MAC) protocol. Firstly, a reduced contention adaptive slot allocation algorithm is presented to minimize contention rounds. Secondly, a low threshold vital signs criticality-based adaptive slot allocation algorithm is developed for high priority data. Thirdly, a high threshold vital signs criticality-based adaptive slot allocation algorithm is designed for low priority data. Simulations are performed to comparatively evaluate the performance of the proposed protocol with state-of-the-art MAC protocols. From the analysis of the results, it is evident that the proposed protocol is beneficial in terms of lower packet delivery delay and energy consumption, and higher throughput in realistic biomedical environments.

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A MAC Protocol for Medical Monitoring Applications of Wireless Body Area Networks

Cited by 55 publications

References 29 publications

TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network

TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network

Delay, Reliability, and Throughput Based QoS Profile: A MAC Layer Performance Optimization Mechanism for Biomedical Applications in Wireless Body Area Sensor Networks

Traffic Priority-Aware Adaptive Slot Allocation for Medium Access Control Protocol in Wireless Body Area Network

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