Dynamic clustering approach with ACO-based mobile sink for data collection in WSNs
| Autor: | Muralitharan Krishnan, Yoon Mo Jung, Sangwoon Yun |
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| Rok vydání: | 2018 |
| Předmět: |
Hot spot (computer programming)
Data collection Computer Networks and Communications Computer science Distributed computing Ant colony optimization algorithms 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Base station 0203 mechanical engineering Software deployment 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Cluster analysis Wireless sensor network Information Systems |
| Zdroj: | Wireless Networks. 25:4859-4871 |
| ISSN: | 1572-8196 1022-0038 |
| DOI: | 10.1007/s11276-018-1762-8 |
| Popis: | Enhancing the network lifetime of wireless sensor networks is an essential task. It involves sensor deployment, cluster formation, routing, and effective utilization of battery units. Clustering and routing are important techniques for adequate enhancement of the network lifetime. Since the existing clustering and routing approaches have high message overhead due to forwarding collected data to sinks or the base station, it creates premature death of sensors and hot-spot issues. The objective of this study is to design a dynamic clustering and optimal routing mechanism for data collection in order to enhance the network lifetime. A new dynamic clustering approach is proposed to prevent premature sensor death and avoid the hot spot problem. In addition, an Ant Colony Optimization (ACO) technique is adopted for effective path selection of mobile sinks. The proposed algorithm is compared with existing routing methodologies, such as LEACH, GA, and PSO. The simulation results show that the proposed cluster head selection algorithm with ACO-based MDC enhances the sensor network lifetime significantly. |
| Databáze: | OpenAIRE |
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