An Efficient Path Generation Algorithm Using Principle Component Analysis for Mobile Sinks in Wireless Sensor Networks
| Autor: | Eyad Taqieddin, Omar Banimelhem, Ibrahim Shatnawi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
data collection Control and Optimization Data collection principal component analysis Computer Networks and Communications Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS mobile sink wireless sensor network Path generation Principal component analysis Path (graph theory) Mobile sink Cluster analysis Instrumentation Wireless sensor network Algorithm Energy (signal processing) |
| Zdroj: | Journal of Sensor and Actuator Networks; Volume 10; Issue 4; Pages: 69 Journal of Sensor and Actuator Networks, Vol 10, Iss 69, p 69 (2021) |
| ISSN: | 2224-2708 |
| DOI: | 10.3390/jsan10040069 |
| Popis: | Recently, the data collection problem in wireless sensor networks (WSNs) using mobile sinks has received much attention. The main challenge in such problems is constructing the path that the mobile sink (MS) will use to collect the data. In this paper, an efficient path generation algorithm for the mobile sink based on principal component analysis (PCA) is proposed. The proposed approach was evaluated using two data collection modes—direct and multihop—and it was compared with another approach called the mobile-sink-based energy-efficient clustering algorithm for wireless sensor networks (MECA). When compared with MECA, simulation results have shown that the proposed approach improves the performance of WSN in terms of the number of live nodes and average remaining energy. |
| Databáze: | OpenAIRE |
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