Energy-Aware Clustering and Efficient Cluster Head Selection
| Autor: | El Alami Hassan, Najid Abdellah, EL Idrissi Nezha |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Technology
Computer science business.industry LEACH Network lifetime Sensor node Pattern recognition Clustering Control and Systems Engineering Cluster (physics) T1-995 Head (vessel) Residual energy Artificial intelligence Electrical and Electronic Engineering Cluster analysis business Energy efficient Technology (General) Energy (signal processing) Selection (genetic algorithm) Hierarchical routing protocol |
| Zdroj: | International Journal on Smart Sensing and Intelligent Systems, Vol 14, Iss 1 (2021) |
| ISSN: | 1178-5608 |
| DOI: | 10.21307/ijssis-2021-019 |
| Popis: | Clustering is an efficient technique to organize network resources efficiently and, in wireless sensor Networks (WSNs) communications it is used to group sensors with similar characteristics managed by a selected sensor called a Cluster Head (CH). Thus, this paper presents a new approach, namely Energy-Aware Clustering and Efficient Cluster Head Selection (EAC-ECHS) to optimize the performances of WSNs in terms of the network lifetime and enhance energy consumption. In EAC-ECHS, the sensor network is divided into an inter grid and fair clustered Grids. Furthermore, for each clustered Grid, the CH selection is based on the residual energy of sensor, distance to neighbors, and distance to the base station. Simulation experiments have been conducted to examine the performance of EAC-ECHS and previous approaches, and the results demonstrate that EAC-ECHS approach achieves the design objectives in terms energy consumption, network lifetime, and packet delivery ratio. |
| Databáze: | OpenAIRE |
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