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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahizoune, A. Hafid, A. |
| Copyright Year | 2012 |
| Description | Author affiliation: Network Research Lab, University of Montreal, Canada (Ahizoune, A.; Hafid, A.) |
| Abstract | Lately, extensive research efforts have been dedicated to the design of clustering algorithms to organize nodes in Vehicular Ad Hoc Networks (VANETs) into sets of clusters. However, due to the dynamic nature of VANETS, nodes frequently joining or leaving clusters jeopardize the stability of the network. The impact of these perturbations becomes worse on network performance if these nodes are cluster heads. Therefore, cluster stability is the key to maintain a predictable performance and has to consider reducing the clustering overhead, the routing overhead and the data losses. In this paper, we propose a new stability-based clustering algorithm (SBCA), specifically designed for VANETs, which takes mobility, number of neighbors, and leadership (i.e., cluster head) duration into consideration in order to provide a more stable architecture. Extensive simulations show that the proposed scheme can significantly improve the stability of the network by extending the cluster head lifetime longer than other previous popular clustering algorithms do. |
| Starting Page | 843 |
| Ending Page | 847 |
| File Size | 432873 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467321303 |
| e-ISBN | 9781467321297 |
| DOI | 10.1109/LCNW.2012.6424072 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Communications Overhead Protocols Clustering Stability Cluster Residence Time Clustering algorithms Vehicular ad hoc networks Maintenance engineering Vehicular Ad Hoc Network Stability analysis Vehicles |
| Content Type | Text |
| Resource Type | Article |
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