RESEARCH ARTICLE


Design of Fuzzy Logic Based-temperature-aware Routing Protocol



BeomKyu Suh1, Hyeon Jeong Kim1, Byunghyun Lim1, Babar Shah2, Ki-Il Kim1, *
1 Department of Computer Sciences and Engineering, Chungnam National University, Daejeon, Korea
2 College of Technological Innovation, Zayed University, Abu Dhabi, UAE


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 310
Abstract HTML Views: 159
PDF Downloads: 145
ePub Downloads: 116
Total Views/Downloads: 730
Unique Statistics:

Full-Text HTML Views: 225
Abstract HTML Views: 107
PDF Downloads: 107
ePub Downloads: 85
Total Views/Downloads: 524



Creative Commons License
© 2023 Suh et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Computer Science and Engineering, Chungnam National University, Daejeon, Korea; Tel/Fax: +82-42-821-6856/+82-42-821-4997 E-mail: kikim@cnu.ac.kr


Abstract

Background:

Rising temperatures in an implanted sensor node is harmful to human tissue; thus, a suitable approach must be considered in designing network protocols.

Objective:

To prevent high node temperatures, we present a new temperature-aware multi-hop routing protocol based on fuzzy logic with a low cost overhead.

Results:

Through comparative simulations, we verify that the proposed scheme can maintain node temperatures to an acceptable and balanced level. This leads to a higher packet delivery ratio than that in existing schemes.

Conclusion:

The fuzzy logic-based temperature routing protocol can contribute to avoiding excessive temperature rises in sensor nodes. In addition, the fuzzy logic input and decision rule are relevant for effectively computing the temperature variation.

Keywords: Wireless body area networks, Fuzzy logic, Temperature-aware routing, Performance evaluation, Quality of service, Network protocol.