An Extended Hierarchical Clustering Approach to Energy-Harvesting Mobile Wireless Sensor Networks
| Autor: | Hao-Ting Jiang, Jin-Shyan Lee |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer Networks and Communications
Computer science Distributed computing 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 0104 chemical sciences Computer Science Applications Hierarchical clustering Power (physics) Energy conservation Hardware and Architecture Signal Processing 0202 electrical engineering electronic engineering information engineering Cluster (physics) Cluster analysis Energy harvesting Wireless sensor network Selection (genetic algorithm) Information Systems |
| Zdroj: | IEEE Internet of Things Journal. 8:7105-7114 |
| ISSN: | 2372-2541 |
| Popis: | Power and energy conservation is an essential issue during the development of wireless sensor networks (WSNs). Hierarchical clustering is one typical method to conserve the power of networks. For mobile sensor networks (MSNs), several clustering approaches have been presented to prolong the network lifetime by considering the sensor mobility factor during the cluster head (CH) selection. However, as mobile sensors possess energy-harvesting functions, the capability to collect power would be a critical factor in the clustering design. In this article, an extended hierarchical clustering method for energy-harvesting mobile WSNs has been proposed. In the presented scheme, the energy-harvesting rate has been considered in the CH selection processes. Simulation results indicate that the proposed approach is able to prolong the network lifetime in the early morning for solar-based energy-harvesting MSNs. |
| Databáze: | OpenAIRE |
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