التفاصيل البيبلوغرافية
| العنوان: |
Fitness function X-means for prolonging wireless sensor networks lifetime |
| المؤلفون: |
Abdelrahman Radwan, Nasser Abdellatif, Eyad Radwan, Maryam Akhozahieh |
| المصدر: |
International Journal of Electrical and Computer Engineering (IJECE), 13(1), 465-472, (2023-02-01) |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2023 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
Clustering, Energy efficient, k-means, Routing, Sensor networks, Wireless, X-means |
| الوصف: |
X-means and k-means are clustering algorithms proposed as a solution for prolonging wireless sensor networks (WSN) lifetime. In general, X-means overcomes k-means limitations such as predetermined number of clusters. The main concept of X-means is to create a network with basic clusters called parents and then generate (j) number of children clusters by parents splitting. X-means did not provide any criteria for splitting parent’s clusters, nor does it provide a method to determine the acceptable number of children. This article proposes fitness function X-means (FFX-means) as an enhancement of X-means; FFX-means has a new method that determines if the parent clusters are worth splitting or not based on predefined network criteria, and later on it determines the number of children. Furthermore, FFX-means proposes a new cluster-heads selection method, where the cluster-head is selected based on the remaining energy of the node and the intra-cluster distance. The simulation results show that FFX-means extend network lifetime by 11.5% over X-means and 75.34% over k-means. Furthermore, the results show that FFX-means balance the node’s energy consumption, and nearly all nodes depleted their energy within an acceptable range of simulation rounds. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| Relation: |
oai:zenodo.org:7435736 |
| DOI: |
10.11591/ijece.v13i1.pp465-472 |
| الاتاحة: |
https://doi.org/10.11591/ijece.v13i1.pp465-472 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.99FD161C |
| قاعدة البيانات: |
BASE |