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Fuzzy logic-based guaranteed lifetime protocol for real-time wireless sensor networks
Sensors (Switzerland)
  • Babar Shah, Zayed University
  • Farkhund Iqbal, Zayed University
  • Ali Abbas, Gyeongsang National University
  • Ki Il Kim, Gyeongsang National University
Document Type
Article
Publication Date
8-18-2015
Abstract

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Few techniques for guaranteeing a network lifetime have been proposed despite its great impact on network management. Moreover, since the existing schemes are mostly dependent on the combination of disparate parameters, they do not provide additional services, such as real-time communications and balanced energy consumption among sensor nodes; thus, the adaptability problems remain unresolved among nodes in wireless sensor networks (WSNs). To solve these problems, we propose a novel fuzzy logic model to provide real-time communication in a guaranteed WSN lifetime. The proposed fuzzy logic controller accepts the input descriptors energy, time and velocity to determine each node’s role for the next duration and the next hop relay node for real-time packets. Through the simulation results, we verified that both the guaranteed network’s lifetime and real-time delivery are efficiently ensured by the new fuzzy logic model. In more detail, the above-mentioned two performance metrics are improved up to 8%, as compared to our previous work, and 14% compared to existing schemes, respectively.

Publisher
MDPI AG
Disciplines
Keywords
  • Fuzzy logic,
  • Real-time,
  • Routing,
  • Wireless sensor networks
Scopus ID
84939811626
Creative Commons License
Creative Commons Attribution 4.0 International
Indexed in Scopus
Yes
Open Access
Yes
Open Access Type
Gold: This publication is openly available in an open access journal/series
Citation Information
Babar Shah, Farkhund Iqbal, Ali Abbas and Ki Il Kim. "Fuzzy logic-based guaranteed lifetime protocol for real-time wireless sensor networks" Sensors (Switzerland) Vol. 15 Iss. 8 (2015) p. 20373 - 20391 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/1424-8220" target="_blank">1424-8220</a>
Available at: http://works.bepress.com/farkhund-iqbal/172/