Name
Title | ||
|---|---|---|
A Weighted Cluster Head Selection Algorithm for Energy Efficient Wireless Sensor Networks |
Abstract | ||
|---|---|---|
The wireless sensor network's (WSNs) lifetime is mainly dependent on the RE of the sensor nodes (SeN). In recent years, energy minimization in a WSN has been a prominent research topic, and numerous solutions have been proposed. This research focuses on the energy minimization of the SeNs where firstly, K-medoid clustering algorithm is applied to create clusters. Second, a weighted cluster head selection technique is used to choose a cluster head (CH) by integrating three independent weights associated with an SeN: energy, distance from the centroid, and distance from the sink node (SN). According to the energy level and distance from the SN and cluster's centre, each node is assigned a constant weight. The simulation results are compared to existing methodologies, and the results show that the suggested network's lifetime enhances. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1155/2022/3055178 | JOURNAL OF SENSORS |
DocType | Volume | ISSN |
Journal | 2022 | 1687-725X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Syed Asif Ali | 1 | 0 | 0.34 |
| Mubashar Sarfraz | 2 | 2 | 1.04 |
| Sajjad A. Ghauri | 3 | 0 | 0.34 |
| Asad Mahmood | 4 | 18 | 7.89 |
| Shahid Basir | 5 | 0 | 0.34 |
| Teweldebrhan Mezgebo Kebedew | 6 | 0 | 0.34 |
| Sheraz Alam | 7 | 4 | 1.75 |