An Adaptive Scheduling Algorithm for the Patient Monitoring System on WBANs

Jeong, Hongkyu

doi:10.1007/978-3-642-32427-7_3

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…In adaptive scheduling algorithm (ASA) [19], nodes are allocated spare time slots for immediate retransmissions in order to reduce average transmission latency as compared to the Master/Slave technique. Similar to R-TDMA, this scheme does not use beacon frames for synchronization and association control.…”

Section: Related Workmentioning

confidence: 99%

“…Majority of the schemes either schedule their retransmissions at their earliest, like EDF [23], or use spare slots to schedule any pending retransmissions, e.g., ASA [19]. These schemes do not consider any retransmission classification and prioritization to schedule the retransmissions and may result in collisions, thereby degrading the reliability of the network.…”

Section: Related Workmentioning

confidence: 99%

“…Under high traffic, the number of spare slots is not sufficient to accommodate retransmissions, which may further deteriorate the performance of a WBAN. Several other recently proposed retransmissions schemes which consider improving the reliability of WBANs include Block Ack [15], Flipping [16], Master/Slave [15], LReAck [17], Split Decision [18], and ASA [19].…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon‐Enabled Wireless Body Area Networks

Henna

Sarwar

2018

Wireless Communications and Mobile Computing

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Carrier sense multiple access mechanism with collision avoidance (CSMA/CA) in IEEE 802.15.4-based wireless body area networks (WBANs) may impair the transmission reliability of emergency traffic under high traffic loads, which may result in loss of high valued medical information. Majority of the recent proposals recommend an early retransmission of failed frame while ignoring the history of past failed transmissions. More importantly, these proposals do not consider the number of failed transmissions experienced by each sensor node, thereby affecting the reliability of retransmissions. In this paper, we propose a dynamic retransmission adaptive intelligent MAC (RAI-MAC) scheme. In our proposed scheme retransmission class of each sensor node is decided by the coordinator according to the number of failed transmissions of each node as observed by the coordinator during the last superframe. Based on the retransmission class received from the coordinator, each node adjusts its next backoff value. The proposed scheme increases the probability of successful frame retransmissions without incurring extra overhead. The simulation results prove that the proposed scheme based on its adaptive retransmission mechanism achieves higher average throughput and average end-to-end delay, while not compromising on energy efficiency as compared to the IEEE 802.15.4 and Block Acknowledgment (Block Ack). Moreover, our scheme appears more stable in terms of average throughput, end-to-end delay, and energy efficiency under different values of beacon order (BO) and superframe order (SO).

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon‐Enabled Wireless Body Area Networks

Henna

Sarwar

2018

Wireless Communications and Mobile Computing

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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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