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Modeling reliability for wireless sensor node coverage in assistive testbeds

Published: 23 June 2010 Publication History

Abstract

Wireless Sensor Networks (WSNs) is a prevailing technology in assistive environments. Assistive environments may include both home and work spaces such as factories, military installations, industrial spaces, and offices. Critical quality-of-service properties of WSN are reliability, availability, and serviceability. This paper focuses on reliability for healthcare applications. Reliable WSN-based monitoring services can prevent accidents, improve the quality of life, and even help with early health diagnosis and treatments. However, because patients/the elderly may have cognitive or other health problems, the reliability is the dominant factor of quality of services of WSN. This paper presents an approach to analyze the reliability of a WSN with the most popular tree structures. The analysis is based on two distribution models, exponential distribution and Weibull distribution. The simulation results also give options to users on the cost vs. reliability issue.

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Cited By

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  • (2017)Fault Prediction Based on the Kernel Function for Ribbon Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4361-697:3(3277-3292)Online publication date: 1-Dec-2017
  • (2015)Toward a Fault Tolerant Architecture for Vital Medical-Based Wearable ComputingJournal of Medical Systems10.1007/s10916-015-0347-739:11(1-12)Online publication date: 1-Dec-2015
  • (2013)Network lifetime analytical model for node-disjoint multipath routing in wireless sensor networksInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2013.05182110:2(163-175)Online publication date: 1-Feb-2013

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      cover image ACM Other conferences
      PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
      June 2010
      452 pages
      ISBN:9781450300711
      DOI:10.1145/1839294
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 23 June 2010

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      Author Tags

      1. assistive system
      2. fault tolerance
      3. network
      4. quality of service
      5. risk management
      6. sensor node management
      7. system lifetime
      8. wireless sensor network

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      View all
      • (2017)Fault Prediction Based on the Kernel Function for Ribbon Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4361-697:3(3277-3292)Online publication date: 1-Dec-2017
      • (2015)Toward a Fault Tolerant Architecture for Vital Medical-Based Wearable ComputingJournal of Medical Systems10.1007/s10916-015-0347-739:11(1-12)Online publication date: 1-Dec-2015
      • (2013)Network lifetime analytical model for node-disjoint multipath routing in wireless sensor networksInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2013.05182110:2(163-175)Online publication date: 1-Feb-2013

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