Literature DB >> 19726272

Heartbeat-driven medium-access control for body sensor networks.

Huaming Li1, Jindong Tan.   

Abstract

In this paper, a novel time division multiple access based MAC protocol designed for body sensor networks (BSNs) is presented. H-medium-access control (MAC) aims to improve BSNs energy efficiency by exploiting heartbeat rhythm information, instead of using periodic synchronization beacons, to perform time synchronization. Heartbeat rhythm is inherent in every human body and observable in various biosignals. Biosensors in a BSN can extract the heartbeat rhythm from their own sensory data by detecting waveform peaks. All rhythms represented by peak sequences are naturally synchronized since they are driven by the same source, i.e., the heartbeat. Following the rhythm, biosensors can achieve time synchronization without having to turn on their radio to receive periodic timing information from a central controller, so that energy cost for time synchronization can be completely eliminated and the lifetime of the network can be prolonged. An active synchronization recovery scheme is also developed, including two resynchronization approaches. The algorithms are simulated using the discrete event simulator OMNet + + with real-world data from the Massachusetts Institute of Technology-Boston's Beth Israel Hospital multiparameter database Multiparameter Intelligent Monitoring for Intensive Care. The results show that H-MAC can prolong the network life dramatically.

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Mesh:

Year:  2009        PMID: 19726272     DOI: 10.1109/TITB.2009.2028136

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  19 in total

Review 1.  Surveying wearable human assistive technology for life and safety critical applications: standards, challenges and opportunities.

Authors:  Muhammad Mahtab Alam; Elyes Ben Hamida
Journal:  Sensors (Basel)       Date:  2014-05-23       Impact factor: 3.576

2.  Three-Factor Fast Authentication Scheme with Time Bound and User Anonymity for Multi-Server E-Health Systems in 5G-Based Wireless Sensor Networks.

Authors:  Alice May-Kuen Wong; Chien-Lung Hsu; Tuan-Vinh Le; Mei-Chen Hsieh; Tzu-Wei Lin
Journal:  Sensors (Basel)       Date:  2020-04-29       Impact factor: 3.576

3.  Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks.

Authors:  Zhaoyang Zhang; Honggang Wang; Chonggang Wang; Hua Fang
Journal:  IEEE Trans Emerg Top Comput       Date:  2013-06       Impact factor: 7.691

Review 4.  u-Healthcare system: state-of-the-art review and challenges.

Authors:  Farid Touati; Rohan Tabish
Journal:  J Med Syst       Date:  2013-05-03       Impact factor: 4.460

5.  An energy efficient MAC protocol for multi-hop swallowable body sensor networks.

Authors:  Lin Lin; Chengfeng Yang; Kai Juan Wong; Hao Yan; Junwen Shen; Soo Jay Phee
Journal:  Sensors (Basel)       Date:  2014-10-17       Impact factor: 3.576

6.  A survey on M2M systems for mHealth: a wireless communications perspective.

Authors:  Elli Kartsakli; Aris S Lalos; Angelos Antonopoulos; Stefano Tennina; Marco Di Renzo; Luis Alonso; Christos Verikoukis
Journal:  Sensors (Basel)       Date:  2014-09-26       Impact factor: 3.576

7.  Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment.

Authors:  Wen Sun; Yu Ge; Zhiqiang Zhang; Wai-Choong Wong
Journal:  Sensors (Basel)       Date:  2015-09-25       Impact factor: 3.576

Review 8.  A survey of body sensor networks.

Authors:  Xiaochen Lai; Quanli Liu; Xin Wei; Wei Wang; Guoqiao Zhou; Guangyi Han
Journal:  Sensors (Basel)       Date:  2013-04-24       Impact factor: 3.576

9.  McMAC: towards a MAC protocol with multi-constrained QoS provisioning for diverse traffic in Wireless Body Area Networks.

Authors:  Muhammad Mostafa Monowar; Mohammad Mehedi Hassan; Fuad Bajaber; Musaed Al-Hussein; Atif Alamri
Journal:  Sensors (Basel)       Date:  2012-11-12       Impact factor: 3.576

Review 10.  A review of protocol implementations and energy efficient cross-layer design for wireless body area networks.

Authors:  Laurie Hughes; Xinheng Wang; Tao Chen
Journal:  Sensors (Basel)       Date:  2012-11-02       Impact factor: 3.576

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