Name
Title | ||
|---|---|---|
Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks |
Abstract | ||
|---|---|---|
The use of enhanced clustering techniques and multiple mobile sinks can improve the data-collection efficiency and reduce the energy consumption of wireless sensor networks. Most of the existing approaches use static sinks and multihop routing, which can cause data loss and the early death of sensor nodes, leading to energy-hole problems and inefficient data collection. Nowadays, sensors produce time-sensitive data, and hence, lossy data-collection approaches must be avoided. In order to overcome the aforementioned issues and improve the network lifetime, we propose an enhanced clustering methodology with multiple mobile sinks for efficient data collection. The performance of the proposed method is tested and compared with that of the existing algorithms LEACH, GA, and PSO. The simulation results show that the proposed approach improves the network lifetime significantly and reduces data loss. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.comnet.2019.05.019 | Computer Networks |
Keywords | Field | DocType |
Wireless sensor networks,Clustering,Network lifetime,Routing,Multiple mobile sinks,Optimization techniques | Data collection,Lossy compression,Data loss,Computer science,Cluster analysis,Wireless sensor network,Energy consumption,Distributed computing | Journal |
Volume | ISSN | Citations |
160 | 1389-1286 | 6 |
PageRank | References | Authors |
0.41 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muralitharan Krishnan | 1 | 6 | 0.41 |
| Sangwoon Yun | 2 | 507 | 42.38 |
| Yoon Mo Jung | 3 | 58 | 6.09 |