Issue |
MATEC Web Conf.
Volume 218, 2018
The 1st International Conference on Industrial, Electrical and Electronics (ICIEE 2018)
|
|
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Article Number | 03019 | |
Number of page(s) | 7 | |
Section | Information Technology | |
DOI | https://doi.org/10.1051/matecconf/201821803019 | |
Published online | 26 October 2018 |
Genetic algorithm based protocols to select cluster heads and find multi-hop path in wireless sensor networks: review
1
National Advanced IPv6 Centre, Universiti Sains Malaysia, 11800 Penang, Malaysia
2
School of Computer Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia
*
Corresponding author: moshalabi@nav6.my, anbar@nav6.usm.my
A wireless sensor network (WSN) is a modern technology in radio communication. A WSN comprises a number of sensor nodes that are randomly spread in a specific area for sensing and monitoring physical attributes that are difficult to monitor by humans, such as temperature, fire, and pressure. Many problems, including data transmission, power consumption and selecting cluster heads, may occur due to the nature of WSNs. Various protocols have been conducted to resolve these issues. Most of the proposed protocols are based on the Genetic Algorithm as an optimization technique to select the Cluster Heads (CHs) or to find a multi-hop path for sending the data from the CHs to the Base Station (BS). This paper presents a comprehensive study of the protocols for WSNs that are proposed to come up with these issues. This study emphasises on CHs selection protocols and multi-hop path finding protocols and their strengths and weaknesses. A new taxonomy is presented to discuss these protocols on the basis of different classes. A complete comparison of the main features and behaviors of the protocols is conducted. This study will give basic guidelines for the researchers those have a motivation to develop a new CHs selection protocol or a multi-hop path finding protocol.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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