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Mobile and Wireless Technologies 2016 pp 127–132Cite as

A Graph-based Method for Performance Analysis of Energy Harvesting Wireless Sensor Networks Reliability

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 391))

Abstract

In the near future, networked wireless devices outnumber traditional electronic appliances. Internet of Things will enable a plethora of new applications in environmental monitoring, agricultural industry, medical diagnostics, security and transportation business, in analysis of equipment performance, conditions, troubleshooting and monitoring. Nowadays, the concept of wireless sensor networks is considered as an important part of Internet of Things. Recent advances in energy harvesting technology for wireless devices have increased the lifetime and throughput of wireless sensor. However, sensor networks reliability has to be improved as well. To fill this gap we offer a method for efficient estimation of network performance and reliability.

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Author information

Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of Russian Academy of Science, Novosibirsk, 630090, Russia

    Vladimir Shakhov

Authors
  1. Vladimir Shakhov
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Corresponding author

Correspondence to Vladimir Shakhov .

Editor information

Editors and Affiliations

  1. iCatse, B-3001, Intellige 2, Kyonggi University, Seongnam-si, Kyonggi-do, Korea (Republic of)

    Kuinam J. Kim

  2. Witsawawattana Bldg 10th-11th, King Mongkut’s Univ Tech Thonburi, Thung Khru, Bangkok, Thailand

    Naruemon Wattanapongsakorn

  3. Chair of IEEE CS STCOS, IBM T.J.Watson Research Center, New York, New York, USA

    Nikolai Joukov

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© 2016 Springer Science+Business Media Singapore

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Shakhov, V. (2016). A Graph-based Method for Performance Analysis of Energy Harvesting Wireless Sensor Networks Reliability. In: Kim, K., Wattanapongsakorn, N., Joukov, N. (eds) Mobile and Wireless Technologies 2016. Lecture Notes in Electrical Engineering, vol 391. Springer, Singapore. https://doi.org/10.1007/978-981-10-1409-3_14

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  • DOI: https://doi.org/10.1007/978-981-10-1409-3_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1408-6

  • Online ISBN: 978-981-10-1409-3

  • eBook Packages: EngineeringEngineering (R0)

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