Novel fuzzy clustering scheme for 3D wireless sensor networks
| Autor: | Dang Thanh Hai, Trong Le Vinh, Le Hoang Son |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Fuzzy clustering
Computer science Correlation clustering 020206 networking & telecommunications 02 engineering and technology Energy consumption computer.software_genre Fuzzy logic Data stream clustering CURE data clustering algorithm Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Canopy clustering algorithm 020201 artificial intelligence & image processing Data mining Cluster analysis Wireless sensor network computer Software |
| Zdroj: | Applied Soft Computing. 54:141-149 |
| ISSN: | 1568-4946 |
| DOI: | 10.1016/j.asoc.2017.01.021 |
| Popis: | Display Omitted We considered the problem of clustering 3D Wireless Sensor Network.A mathematical model considering 3D energy functions was proposed.A novel fuzzy clustering scheme was presented to determine clustering results.Experimental validation was performed on real 3D terrains.The results revealed superiority of the proposed method vs. the related ones. In this paper, we consider the sensor-energy optimization in 3D Wireless Sensor Networks (WSNs), which determines an optimal topology of sensors to prolong the network lifetime and reduce the energy expenditure. A new mathematical model for clustering in 3D WSN, considering energy consumption, constraints of communication and a 3D energy function, is presented. Using the Lagrange multiplier method, solutions of the model consisting of cluster centres and the membership matrix are computed and used in the new algorithm, called FCM-3 WSN. Experimental validation on real 3D datasets demonstrates that FCM-3 WSN outperforms the relevant methods, namely, Low-Energy Adaptive Clustering Hierarchy (LEACH), Centralized LEACH (LEACH-C), Single-hop Clustering and Energy-Efficient Protocol (SCEEP), Hybrid-Low Energy Adaptive Clustering Hierarchy (H-LEACH), K-Means and Fuzzy C-Means (FCM). |
| Databáze: | OpenAIRE |
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