Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network
A major problem with Wireless Sensor Networks (WSNs) is the maximization of effective network lifetime through minimization of energy usage in the network nodes. A modified k -means ( Mk- means) algorithm for clustering was proposed which includes three cluster heads (simultaneously chosen) for each...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/5040475 |
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| _version_ | 1850222492788981760 |
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| author | Sasikumar Periyasamy Sibaram Khara Shankar Thangavelu |
| author_facet | Sasikumar Periyasamy Sibaram Khara Shankar Thangavelu |
| author_sort | Sasikumar Periyasamy |
| collection | DOAJ |
| description | A major problem with Wireless Sensor Networks (WSNs) is the maximization of effective network lifetime through minimization of energy usage in the network nodes. A modified k -means ( Mk- means) algorithm for clustering was proposed which includes three cluster heads (simultaneously chosen) for each cluster. These cluster heads (CHs) use a load sharing mechanism to rotate as the active cluster head, which conserves residual energy of the nodes, thereby extending network lifetime. Moreover, it reduces the number of times reclustering has to be done and significantly increases the number of data packets sent during network operation. The results show that Mk- means (modified k -means) algorithm was found to outperform the existing clustering algorithms owing to its unique multiple cluster head methodology. |
| format | Article |
| id | doaj-art-73cd3fa6a2454fe088871053dd3cf8e5 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-73cd3fa6a2454fe088871053dd3cf8e52025-08-20T02:06:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-03-011210.1155/2016/50404755040475Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor NetworkSasikumar PeriyasamySibaram KharaShankar ThangaveluA major problem with Wireless Sensor Networks (WSNs) is the maximization of effective network lifetime through minimization of energy usage in the network nodes. A modified k -means ( Mk- means) algorithm for clustering was proposed which includes three cluster heads (simultaneously chosen) for each cluster. These cluster heads (CHs) use a load sharing mechanism to rotate as the active cluster head, which conserves residual energy of the nodes, thereby extending network lifetime. Moreover, it reduces the number of times reclustering has to be done and significantly increases the number of data packets sent during network operation. The results show that Mk- means (modified k -means) algorithm was found to outperform the existing clustering algorithms owing to its unique multiple cluster head methodology.https://doi.org/10.1155/2016/5040475 |
| spellingShingle | Sasikumar Periyasamy Sibaram Khara Shankar Thangavelu Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network International Journal of Distributed Sensor Networks |
| title | Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network |
| title_full | Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network |
| title_fullStr | Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network |
| title_full_unstemmed | Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network |
| title_short | Balanced Cluster Head Selection Based on Modified -Means in a Distributed Wireless Sensor Network |
| title_sort | balanced cluster head selection based on modified means in a distributed wireless sensor network |
| url | https://doi.org/10.1155/2016/5040475 |
| work_keys_str_mv | AT sasikumarperiyasamy balancedclusterheadselectionbasedonmodifiedmeansinadistributedwirelesssensornetwork AT sibaramkhara balancedclusterheadselectionbasedonmodifiedmeansinadistributedwirelesssensornetwork AT shankarthangavelu balancedclusterheadselectionbasedonmodifiedmeansinadistributedwirelesssensornetwork |