A New Centralized Clustering Algorithm for Wireless Sensor Networks
Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks. The goals of the algorithm are to prolong the network lifetime and increase the reliabil...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/20/4391 |
| _version_ | 1817990176211730432 |
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| author | Juan-Carlos Cuevas-Martinez Antonio-Jesus Yuste-Delgado Antonio-Jose Leon-Sanchez Antonio-Jose Saez-Castillo Alicia Triviño-Cabrera |
| author_facet | Juan-Carlos Cuevas-Martinez Antonio-Jesus Yuste-Delgado Antonio-Jose Leon-Sanchez Antonio-Jose Saez-Castillo Alicia Triviño-Cabrera |
| author_sort | Juan-Carlos Cuevas-Martinez |
| collection | DOAJ |
| description | Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks. The goals of the algorithm are to prolong the network lifetime and increase the reliability of the network while not compromising the data transmission. In the proposed method, the Base Station decides on the cluster heads according to the best scores obtained from a Type-2 Fuzzy system. The input parameters of the fuzzy system are estimated by the base station or gathered from the network with a careful design that reduces the control message exchange. The whole network is controlled by the base station in a rounds-based schedule that alternates rounds when the base station elects cluster heads, with other rounds in which the cluster heads previously elected, gather data from their contributing nodes and forward them to the base station. The setting of the number of rounds in which the Base Station keeps the same set of cluster heads is another contribution of the present paper. The results show significant improvements achieved by the proposal when compared to other current clustering methods. |
| first_indexed | 2024-04-14T00:56:29Z |
| format | Article |
| id | doaj.art-a89ba55a0b0c4536b9cf6d5a554daf20 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:56:29Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a89ba55a0b0c4536b9cf6d5a554daf202022-12-22T02:21:36ZengMDPI AGSensors1424-82202019-10-011920439110.3390/s19204391s19204391A New Centralized Clustering Algorithm for Wireless Sensor NetworksJuan-Carlos Cuevas-Martinez0Antonio-Jesus Yuste-Delgado1Antonio-Jose Leon-Sanchez2Antonio-Jose Saez-Castillo3Alicia Triviño-Cabrera4Department of Telecommunication Engineering, Universidad de Jaén, 23100 Linares, SpainDepartment of Telecommunication Engineering, Universidad de Jaén, 23100 Linares, SpainDepartment of Telecommunication Engineering, Universidad de Jaén, 23100 Linares, SpainDepartment of Statistics and Operational Research, Universidad de Jaén, 23100 Linares, SpainDepartment of Electrical Engineering, Universidad de Málaga, 29071 Málaga, SpainClustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks. The goals of the algorithm are to prolong the network lifetime and increase the reliability of the network while not compromising the data transmission. In the proposed method, the Base Station decides on the cluster heads according to the best scores obtained from a Type-2 Fuzzy system. The input parameters of the fuzzy system are estimated by the base station or gathered from the network with a careful design that reduces the control message exchange. The whole network is controlled by the base station in a rounds-based schedule that alternates rounds when the base station elects cluster heads, with other rounds in which the cluster heads previously elected, gather data from their contributing nodes and forward them to the base station. The setting of the number of rounds in which the Base Station keeps the same set of cluster heads is another contribution of the present paper. The results show significant improvements achieved by the proposal when compared to other current clustering methods.https://www.mdpi.com/1424-8220/19/20/4391wireless sensor networksclusteringfuzzy system |
| spellingShingle | Juan-Carlos Cuevas-Martinez Antonio-Jesus Yuste-Delgado Antonio-Jose Leon-Sanchez Antonio-Jose Saez-Castillo Alicia Triviño-Cabrera A New Centralized Clustering Algorithm for Wireless Sensor Networks Sensors wireless sensor networks clustering fuzzy system |
| title | A New Centralized Clustering Algorithm for Wireless Sensor Networks |
| title_full | A New Centralized Clustering Algorithm for Wireless Sensor Networks |
| title_fullStr | A New Centralized Clustering Algorithm for Wireless Sensor Networks |
| title_full_unstemmed | A New Centralized Clustering Algorithm for Wireless Sensor Networks |
| title_short | A New Centralized Clustering Algorithm for Wireless Sensor Networks |
| title_sort | new centralized clustering algorithm for wireless sensor networks |
| topic | wireless sensor networks clustering fuzzy system |
| url | https://www.mdpi.com/1424-8220/19/20/4391 |
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