Next-transmission backoff reservation scheme for wireless sensor networks

Haeyeon Shin, Yena Kim, Sukyoung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless Sensor Network (WSN) acts as one of the fundamental elements of network infrastructure, requiring to establish a wireless communication network for the reliable frame transmission. The channel access in IEEE 802.15.4 employs Carrier Sense Multiple Access with Collision Avoidance (CSMA) without amendment. However, the contention collision of typical technique, IEEE 802.15.4, could not guarantee the reliable frame transmission because of the difficulties avoiding the collision. To tackle the aforementioned challenges, we propose a new collision resolution scheme, Next-Transmission Backoff Reservation (NTBR) Scheme, for IEEE 802.15.4 to guarantee a reliable transmission especially for the contention collision of messages with the reservation scheme. The proposed scheme consists of two subschemes. The main contributions of this paper are twofold: Next- Transmission Backoff Reservation Process that reserves a backoff counter for next transmission, ReservationWindow Adjust Process to avoid conflicts.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2784-2789
Number of pages6
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 2017 Nov 27
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 2017 Oct 52017 Oct 8

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period17/10/517/10/8

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B4002000) and by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00729) supervised by the IITP (Institute for Information & communications Technology Promotion)

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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