Fuzzy Data Aggregation Approach to Enhance Energy-Efficient Routing Protocol for HWSNs

Authors

  • Asaad Alhijaj College of Computer Science and Information Technology, University of Basrah
  • Baida'a Abdul Qader Khudor College of Computer Science and Information Technology, University of Basrah
  • Imad Alshawi College of Computer Science and Information Technology, University of Basrah

DOI:

https://doi.org/10.31449/inf.v46i7.4272

Abstract

The sensor nodes' computing capability, communication capabilities, and power supply are severely constrained in WSNs, making sensor battery replacement or recharging difficult or even impossible. Therefore, energy is an important challenge to consider while creating WSNs. In hazardous circumstances, accurate data aggregation and routing are crucial, and the energy consumption of sensors must be closely controlled. Due to environmental conditions and short-distance sensors, however, there is a high possibility of duplicating data. Large datasets include a range of data, some of which are helpful while others are entirely unnecessary. This redundancy reduces performance in terms of redundant transmission and computation expense. Data aggregation, on the other hand, may reduce duplicate data in a network, hence reducing the volume of data sent and increasing the network's lifespan. In this context, two novel energy-conscious approaches called Fuzzy Data Aggregation with Spider monkey optimization (FDA-SMORP) for data aggregation in the cluster head and routing to the sink are presented. These strategies attempt to offset the energy consumption among all nodes in a wireless network such that these nodes exhaust all of their energy and die almost simultaneously. To demonstrate the efficacy of the suggested approaches in terms of minimizing delay caused by route planning, balancing energy usage, and extending network lifespan, the proposed methods are compared to some of the most well-known WSN systems.

Author Biographies

Asaad Alhijaj, College of Computer Science and Information Technology, University of Basrah

Asaad Alhijaj is a lecturer in Computer Science and IT College, Basrah University, IRAQ. He received M.Sc. from the college of science, Basra University 1994. He also worked for 9 years ago at Al-Belqaa applied university, Jordan, and Al Hussein-bin-Talal University Jordan. His research is interested in software engineering, Multimedia, and E-Learning.

Imad Alshawi, College of Computer Science and Information Technology, University of Basrah

Imad S. Alshawi received his B.Sc. and M.Sc. degrees in computer science from the College of Science, University of Basrah, Basrah, IRAQ. He received his Ph.D. degree in wireless sensor networks at the School of Information Science and Technology, Information and Communication System Department, Southwest Jiaotong University, Chengdu, China.Mr. Alshawi has been

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Published

2022-10-24

How to Cite

Alhijaj, A., Khudor, B. A. Q., & Alshawi, I. (2022). Fuzzy Data Aggregation Approach to Enhance Energy-Efficient Routing Protocol for HWSNs. Informatica, 46(7). https://doi.org/10.31449/inf.v46i7.4272

Issue

Vol. 46 No. 7 (2022): Online-only issue

Section

Online-only

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