An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system

Sensors based on personalized healthcare systems have been widely used in the medical field. However, energy limitations have greatly hindered the further development of medical sensors. For the traditional Medium Access Control (MAC) protocol, the duration of low-power listening is fixed because it...

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Main Authors: Linbo Deng, Jinsong Gui, Tian Wang, Jiawei Tan, Xiong Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-04-01
Series:Digital Communications and Networks
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864821000560
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author Linbo Deng
Jinsong Gui
Tian Wang
Jiawei Tan
Xiong Li
author_facet Linbo Deng
Jinsong Gui
Tian Wang
Jiawei Tan
Xiong Li
author_sort Linbo Deng
collection DOAJ
description Sensors based on personalized healthcare systems have been widely used in the medical field. However, energy limitations have greatly hindered the further development of medical sensors. For the traditional Medium Access Control (MAC) protocol, the duration of low-power listening is fixed because it ignores that the available energy of sensors is different in some situations, which leads to a high delay and low energy utilization. In this paper, a Maximum Listening Length MAC (MLL-MAC) protocol is proposed to fully utilize the energy in the sensor-based systems. The MLL-MAC protocol is an improvement of the Receiver-Initiated (RI) MAC protocol. The main advance is that the sensor node performs the following additional operations: (1) The sender sends a beacon when it wakes up and sends data, thus establishing a communication link with the receiver in the listening state; (2) The receiver keeps listening as long as possible to reduce the delay when it wakes up and listens to the channel, which is different from the previous strategy in which the node turns into a sleep state immediately without receiving data. Furthermore, the sensor node can dynamically determine whether to send beacons and prolong listening duration according to its available energy level. The MLL-MAC protocol is evaluated through theoretical analysis and experimental results. The results show that, compared with the RI-MAC protocol, the MLL-MAC protocol can reduce the average end-to-end delay by 41.4% and improve the energy utilization by 15.1%.
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spelling doaj.art-4c2c6ff4014f456f86f15eb32677d3662022-12-22T02:21:14ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482022-04-0182174185An intelligent hybrid MAC protocol for a sensor-based personalized healthcare systemLinbo Deng0Jinsong Gui1Tian Wang2Jiawei Tan3Xiong Li4School of Computer Science and Engineering, Central South University, ChangSha, 410083, ChinaSchool of Computer Science and Engineering, Central South University, ChangSha, 410083, ChinaCollege of Computer Science and Technology, Huaqiao University, Xiamen, 361021, ChinaSchool of Computer Science and Engineering, Central South University, ChangSha, 410083, ChinaInstitute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China; Corresponding author.Sensors based on personalized healthcare systems have been widely used in the medical field. However, energy limitations have greatly hindered the further development of medical sensors. For the traditional Medium Access Control (MAC) protocol, the duration of low-power listening is fixed because it ignores that the available energy of sensors is different in some situations, which leads to a high delay and low energy utilization. In this paper, a Maximum Listening Length MAC (MLL-MAC) protocol is proposed to fully utilize the energy in the sensor-based systems. The MLL-MAC protocol is an improvement of the Receiver-Initiated (RI) MAC protocol. The main advance is that the sensor node performs the following additional operations: (1) The sender sends a beacon when it wakes up and sends data, thus establishing a communication link with the receiver in the listening state; (2) The receiver keeps listening as long as possible to reduce the delay when it wakes up and listens to the channel, which is different from the previous strategy in which the node turns into a sleep state immediately without receiving data. Furthermore, the sensor node can dynamically determine whether to send beacons and prolong listening duration according to its available energy level. The MLL-MAC protocol is evaluated through theoretical analysis and experimental results. The results show that, compared with the RI-MAC protocol, the MLL-MAC protocol can reduce the average end-to-end delay by 41.4% and improve the energy utilization by 15.1%.http://www.sciencedirect.com/science/article/pii/S2352864821000560Sensor based systemDelayEnergy consumptionNetwork lifetimeAdaptive listening length
spellingShingle Linbo Deng
Jinsong Gui
Tian Wang
Jiawei Tan
Xiong Li
An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
Digital Communications and Networks
Sensor based system
Delay
Energy consumption
Network lifetime
Adaptive listening length
title An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
title_full An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
title_fullStr An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
title_full_unstemmed An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
title_short An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system
title_sort intelligent hybrid mac protocol for a sensor based personalized healthcare system
topic Sensor based system
Delay
Energy consumption
Network lifetime
Adaptive listening length
url http://www.sciencedirect.com/science/article/pii/S2352864821000560
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