Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks
Distributed clustering is widely used in ad hoc deployed wireless networks. Distributed clustering algorithms like DMAC, HEED, MEDIC, ANTCLUST-based, and EDCR produce well-distributed Cluster Heads (CHs) using dependent thinning techniques where a node’s decision to be a CH depends on the decision o...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2012/781275 |
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| _version_ | 1832554502820986880 |
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| author | Sankalpa Gamwarige Chulantha Kulasekere |
| author_facet | Sankalpa Gamwarige Chulantha Kulasekere |
| author_sort | Sankalpa Gamwarige |
| collection | DOAJ |
| description | Distributed clustering is widely used in ad hoc deployed
wireless networks. Distributed clustering algorithms like
DMAC, HEED, MEDIC, ANTCLUST-based, and EDCR produce
well-distributed Cluster Heads (CHs) using dependent thinning
techniques where a node’s decision to be a CH depends on the
decision of its neighbors. An analytical technique to determine
the cluster density of this class of algorithms is proposed. This
information is required to set the algorithm parameters before
a wireless network is deployed. Simulation results are presented
in order to verify the analytical findings. |
| format | Article |
| id | doaj-art-7eb767a3c4dc4f16a81408dac9a8b2d6 |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-7eb767a3c4dc4f16a81408dac9a8b2d62025-02-03T05:51:22ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2012-01-01201210.1155/2012/781275781275Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless NetworksSankalpa Gamwarige0Chulantha Kulasekere1Department of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri LankaDepartment of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri LankaDistributed clustering is widely used in ad hoc deployed wireless networks. Distributed clustering algorithms like DMAC, HEED, MEDIC, ANTCLUST-based, and EDCR produce well-distributed Cluster Heads (CHs) using dependent thinning techniques where a node’s decision to be a CH depends on the decision of its neighbors. An analytical technique to determine the cluster density of this class of algorithms is proposed. This information is required to set the algorithm parameters before a wireless network is deployed. Simulation results are presented in order to verify the analytical findings.http://dx.doi.org/10.1155/2012/781275 |
| spellingShingle | Sankalpa Gamwarige Chulantha Kulasekere Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks Journal of Computer Networks and Communications |
| title | Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks |
| title_full | Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks |
| title_fullStr | Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks |
| title_full_unstemmed | Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks |
| title_short | Cluster Density of Dependent Thinning Distributed Clustering Class of Algorithms in Ad Hoc Deployed Wireless Networks |
| title_sort | cluster density of dependent thinning distributed clustering class of algorithms in ad hoc deployed wireless networks |
| url | http://dx.doi.org/10.1155/2012/781275 |
| work_keys_str_mv | AT sankalpagamwarige clusterdensityofdependentthinningdistributedclusteringclassofalgorithmsinadhocdeployedwirelessnetworks AT chulanthakulasekere clusterdensityofdependentthinningdistributedclusteringclassofalgorithmsinadhocdeployedwirelessnetworks |