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

Ullah, Fasee; Abdullah, Abdul Hanan; Kaiwartya, Omprakash; Arshad, Marina Md

doi:10.3390/computers6010009

Cited by 19 publications

(15 citation statements)

References 29 publications

(53 reference statements)

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“…To ensure that results obtained are realistic and consistent, the simulation model and parameters are designed similarly to [ 9 , 13 , 32 ]. Star topology was adopted with one PAN Coordinator.…”

Section: Performance Evaluationmentioning

confidence: 99%

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

et al. 2020

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Data prioritization of heterogeneous data in wireless sensor networks gives meaning to mission-critical data that are time-sensitive as this may be a matter of life and death. However, the standard IEEE 802.15.4 does not consider the prioritization of data. Prioritization schemes proffered in the literature have not adequately addressed this issue as proposed schemes either uses a single or complex backoff algorithm to estimate backoff time-slots for prioritized data. Subsequently, the carrier sense multiple access with collision avoidance scheme exhibits an exponentially increasing range of backoff times. These approaches are not only inefficient but result in high latency and increased power consumption. In this article, the concept of class of service (CS) was adopted to prioritize heterogeneous data (realtime and non-real-time), resulting in an optimized prioritized backoff MAC scheme called Class of Service Traffic Priority-based Medium Access Control (CSTP-MAC). This scheme classifies data into high priority data (HPD) and low priority data (LPD) by computing backoff times with expressions peculiar to the data priority class. The improved scheme grants nodes the opportunity to access the shared medium in a timely and power-efficient manner. Benchmarked against contemporary schemes, CSTP-MAC attained a 99% packet delivery ratio with improved power saving capability, which translates to a longer operational lifetime.

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Section: Performance Evaluationmentioning

confidence: 99%

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

et al. 2020

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“…A Traffic priority-aware adaptive SLot allocation based MAC (TraySL-MAC) protocol is presented in [15]. In TraySL-MAC, there are three slot allocation algorithms have been developed, such as high threshold vital sign criticality-based, low threshold vital sign criticality-based and reduced contention adaptive slot allocation.…”

Section: Related Workmentioning

confidence: 99%

“…In the MAC standard, there is only one queue within a station and does not provide any service differentiation to the flows that might need some QoS. Moreover, the MAC priority-aware protocols are more focused on the priorities of the data frames (super-frames) and solve the slot allocation problems [4], [10], [15], [16]. However, the slot allocation strategy is not preferable for emergency data transmission, because it reduces the performance of MAC protocol in terms of minimum duration of super-frame and slots or insufficient slots, retransmission of collided data packets, delay, a frequent invocation of beacon interval and high energy consumption [17].…”

Section: Introductionmentioning

confidence: 99%

LLTP-QoS: Low Latency Traffic Prioritization and QoS-Aware Routing in Wireless Body Sensor Networks

et al. 2019

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Wireless Body Sensor Network (WBSN) is deployed in delay-sensitive application scenarios where providing Quality-of-Service (QoS) is utmost important. The QoS-aware routing protocol not only discovers a route from source to destination but also satisfies QoS requirements in heavily loaded wireless networks. Emergency / critical data packets must reach the intended destination without incurring significant delays and fulfill multiconstrained demands (reliability, delay, Packet Delivery Ratio (PDR)) of heterogeneous applications. Congestion occurs in heavy traffic situation when the incoming traffic load exceeds the capacity of transmission link, buffer overflows, packet collision, channel contention. Consequently, it impacts QoS in terms of packet loss, end-to-end delay and PDR. Moreover, the selection of poor links/routes may have detrimental impacts of the performance of WBSN and there can be significant variations in throughput, delay, network lifetime, route stability performance. Majority of the existing priority-aware routing protocols proposed for Medium Access Control (MAC) layer to solve the slot allocation problem by which data packets are classified into different categories. However, less attention has been given to traffic prioritization at network layer for data categorization. Furthermore, optimized traffic prioritization has been overlooked, thereby increases the data redundancy, queue/link delay, data loss and decreases the reliability of the network, and it does not satisfy the QoS requirements of WBSN and affects the critical data to be delivered in a less privileged manner. This work proposes the Low Latency Traffic Prioritization scheme for QoS-aware routing (LLTP-QoS). The LLTP-QoS is designed to enhance the transmission of critical data in a privileged manner (reliability) and avoids the end-to-end delay. The performance of proposed scheme is evaluated in terms of throughput, average end-to-end delay, PDR, normalized routing load, network lifetime through extensive simulations using Network Simulator-2 (NS2). The simulation results verified improved performance of proposed LLTP-QoS scheme as compared to existing routing protocols. INDEX TERMS Wireless body sensor networks, physiological data, QoS, data traffic, priority queue, packet delivery ratio, latency.

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“…Therefore, various MAC schemes have been proposed to decrease energy consumption such as in references [11,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48]. Also, some MAC schemes are aimed to provide traffic prioritization such as in references [49,50,51,52,53,54,55,56,57,58,59].…”

Section: Introductionmentioning

confidence: 99%

Traffic Class Prioritization-Based Slotted-CSMA/CA for IEEE 802.15.4 MAC in Intra-WBANs

Masud

Abdullah

Altameem

et al. 2019

Sensors

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This paper proposes an improved Traffic Class Prioritization based Carrier Sense Multiple Access/Collision Avoidance (TCP-CSMA/CA) scheme for prioritized channel access to heterogenous-natured Bio-Medical Sensor Nodes (BMSNs) for IEEE 802.15.4 Medium Access Control (MAC) in intra-Wireless Body Area Networks (WBANs). The main advantage of the scheme is to provide prioritized channel access to heterogeneous-natured BMSNs of different traffic classes with reduced packet delivery delay, packet loss, and energy consumption, and improved throughput and packet delivery ratio (PDR). The prioritized channel access is achieved by assigning a distinct, minimized and prioritized backoff period range to each traffic class in every backoff during contention. In TCP-CSMA/CA, the BMSNs are distributed among four traffic classes based on the existing patient’s data classification. The Backoff Exponent (BE) starts from 1 to remove the repetition of the backoff period range in the third, fourth, and fifth backoffs. Five moderately designed backoff period ranges are proposed to assign a distinct, minimized, and prioritized backoff period range to each traffic class in every backoff during contention. A comprehensive verification using NS-2 was carried out to determine the performance of the TCP-CSMA/CA in terms of packet delivery delay, throughput, PDR, packet loss ratio (PLR) and energy consumption. The results prove that the proposed TCP-CSMA/CA scheme performs better than the IEEE 802.15.4 based PLA-MAC, eMC-MAC, and PG-MAC as it achieves a 47% decrease in the packet delivery delay and a 63% increase in the PDR.

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

Cited by 19 publications

References 29 publications

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

LLTP-QoS: Low Latency Traffic Prioritization and QoS-Aware Routing in Wireless Body Sensor Networks

Traffic Class Prioritization-Based Slotted-CSMA/CA for IEEE 802.15.4 MAC in Intra-WBANs

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