Enhanced Artificial Bee Colony method for node deployment and routing in Wireless Sensor Networks

Authors

  • Basavaraj Madagouda  Department of Computer Science and Engineering, Jain College of Engineering and Research Belagavi, VTU Belagavi, India
  • Dr. R. Sumathi  Department of Computer Science and Engineering, Siddaganga Institute of Technology Tumkur, VTU Belagavi, India

DOI:

https://doi.org//10.32628/CSEIT21767

Keywords:

Node Deployment, Routing, Artificial Bee Colony, Wireless Sensor Networks.

Abstract

Wireless networks provide small sensing, machine and wireless networking nodes. Different designs and implementation techniques were built based on the device requirements for wireless network sensors (WSN). Sensor networks are used in various applications, such as environmental monitoring, home automation, military applications, etc. In this study introduce an architectural survey and deployment of nodes in the Wi-Fi Sensor network in this article. The environmental features that can be added to the sensor networks are given. The program relies on the node installed in the WSN and is deterministic or random. But the biggest issue in both cases is the coverage of the region involved. Researcher also describe WSN routing protocols. In this paper, a new technique to deployment problem is proposed based on the artificial bee colony (ABC) algorithm which is enhanced for the deployment of sensor networks to gain better performance by trying to increase the coverage area of the network and energy consumption. The good performance of the proposed EABC algorithm shows that it can be utilized in the deployment of WSN.

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Published

2021-12-30

Issue

Section

Research Articles

How to Cite

[1]
Basavaraj Madagouda, Dr. R. Sumathi, " Enhanced Artificial Bee Colony method for node deployment and routing in Wireless Sensor Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.28-37, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT21767