The University of Southampton
University of Southampton Institutional Repository

QoS-Aware heuristic scheduling with delay-constraint for WBSNs

QoS-Aware heuristic scheduling with delay-constraint for WBSNs
QoS-Aware heuristic scheduling with delay-constraint for WBSNs

Wireless body sensor networks (WBSNs), which efficiently and intelligently sense the physiological signals of the medical patients to support various medial applications, have allured tremendous attention from various research communities. For energy and resource constrained WBSNs, the important issues include: 1)dynamic channel characteristics due to mobility and postural dynamics; 2) high energy efficiency owing to limited battery power; 3) high quality-of- service (QoS) requirement due to critical physiological data. To address the above issues, a cost-effective heuristic packet scheduling scheme is designed to provide the high network throughput and fair QoS to WBSNs. Unlike most of the existing works, we also consider the optimal delay- constraint in order to achieve the optimized packet transmission delay and to manage the heavy traffic load optimally. Specifically, we consider the critical factors of WBSNs to prioritize the data packets among access points, e.g., medical emergent patients have the higher priority to send their data packets than the normal patients. We formulate the proposed scheme mathematically. Simulation results are presented to demonstrate the effectiveness of the proposed heuristic packet scheduling scheme over other existing state-of- the-art solutions, in terms of packet transmission delay, cost and network throughput.

Institute of Electrical and Electronics Engineers Inc.
Samanta, Amit
06e294c4-b0a9-4e92-a087-6844fe15444f
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Samanta, Amit
06e294c4-b0a9-4e92-a087-6844fe15444f
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Samanta, Amit, Li, Yong and Chen, Sheng (2018) QoS-Aware heuristic scheduling with delay-constraint for WBSNs. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, Institute of Electrical and Electronics Engineers Inc.. (doi:10.1109/ICC.2018.8422180).

Record type: Conference or Workshop Item (Paper)

Abstract

Wireless body sensor networks (WBSNs), which efficiently and intelligently sense the physiological signals of the medical patients to support various medial applications, have allured tremendous attention from various research communities. For energy and resource constrained WBSNs, the important issues include: 1)dynamic channel characteristics due to mobility and postural dynamics; 2) high energy efficiency owing to limited battery power; 3) high quality-of- service (QoS) requirement due to critical physiological data. To address the above issues, a cost-effective heuristic packet scheduling scheme is designed to provide the high network throughput and fair QoS to WBSNs. Unlike most of the existing works, we also consider the optimal delay- constraint in order to achieve the optimized packet transmission delay and to manage the heavy traffic load optimally. Specifically, we consider the critical factors of WBSNs to prioritize the data packets among access points, e.g., medical emergent patients have the higher priority to send their data packets than the normal patients. We formulate the proposed scheme mathematically. Simulation results are presented to demonstrate the effectiveness of the proposed heuristic packet scheduling scheme over other existing state-of- the-art solutions, in terms of packet transmission delay, cost and network throughput.

Full text not available from this repository.

More information

Published date: 27 July 2018
Venue - Dates: 2018 IEEE International Conference on Communications,, Kansas City, United States, 2018-05-20 - 2018-05-24

Identifiers

Local EPrints ID: 425779
URI: http://eprints.soton.ac.uk/id/eprint/425779
PURE UUID: 4eafd7ba-a37b-4aae-b3ab-c42eb0de067b

Catalogue record

Date deposited: 02 Nov 2018 17:30
Last modified: 04 Dec 2018 17:31

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×