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http://localhost:8080/xmlui/handle/123456789/2008Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singh, Gurpreet | - |
| dc.contributor.author | Gaoxi, Xiao | - |
| dc.date.accessioned | 2024-12-06T05:10:12Z | - |
| dc.date.available | 2024-12-06T05:10:12Z | - |
| dc.date.issued | 2006 | - |
| dc.identifier.citation | 10.1109/ICCS.2006.301435 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2008 | - |
| dc.description | NITW | en_US |
| dc.description.abstract | The concept of clustering in wireless sensor networks refers to the grouping of sensors into clusters where each cluster has a cluster head communicating the aggregated signal t base station. In this paper, we present a simple algorithm for calculating the best position for installing the cluster head such that the over all energy consumption of the cluster is minimized. The algorithm has a low complexity that is largely independent of cluster size. Hence it is especially suitable for large clusters. Based on this algorithm ,we then propose a simple heuristic method for minimizing the over all energy consumption of wireless sensor networks with a given number of clusters. Finally, the heuristic method is further modified to ensure that each cluster is of a large enough size, such that certain load balance can be achieved between different clusters. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | 2006 IEEE Singapore International Conference on Communication Systems, ICCS 2006 | en_US |
| dc.subject | ALGORITHMS | en_US |
| dc.subject | ENERGY-EFFICIENT | en_US |
| dc.subject | WIRELESS SENSOR | en_US |
| dc.subject | NETWORKS | en_US |
| dc.title | ALGORITHMSFORENERGY-EFFICIENTCLUSTERINGIN WIRELESSSENSORNETWORKS | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Computer Science & Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Algorithms_for_Energy-Efficient_Clustering_in_Wireless_Sensor_Networks.pdf | 5.32 MB | Adobe PDF | View/Open |
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