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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Drugan, O.V. Plagemann, T. Munthe-Kaas, E. |
| Copyright Year | 1993 |
| Abstract | In sparse mobile ad hoc networks, placement of services and data is crucial to assure their availability to all nodes because sparse population of nodes can lead to (frequent) network partitions. If these dynamic networks display a fairly stable cluster structure, it is possible to utilize this structure to improve service and data availability. However, clustering in a dynamic network is a very challenging task due to the ever-changing topology and irregular density of such a network. In this paper, we investigate clustering of dynamic networks with the help of community detection mechanisms, using only topology information from the local routing table. The main aim of our approach is to reduce to “zero” the communication overhead needed for cluster management and to dynamically adapt to the size and layout of the network. We have performed extensive experiments to evaluate the consistency, quality, and stability of the clustering returned by our algorithms. The results show that our nonintrusive clustering indeed discovers temporary groups of nodes that form stable clusters in the network. Moreover, even though the local routing tables in general reflect slightly diverging topologies, our results still show only small differences between the communities detected at different nodes. |
| Sponsorship | IEEE Computer Society IEEE Communications Society Association for Computing Machinery (ACM) |
| Starting Page | 1434 |
| Ending Page | 1447 |
| Page Count | 14 |
| File Size | 1130790 |
| File Format | |
| ISSN | 10636692 |
| Volume Number | 19 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Communities Ad hoc networks Mobile computing Clustering algorithms Network topology Topology Routing protocols wireless communications Clustering community detection algorithm network topology rescue operations sparse mobile ad hoc networks (MANETs) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Electrical and Electronic Engineering Computer Science Applications Software |
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