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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hepworth, Eleanor Badia, Leonardo Hollós, Dániel Miozzo, Marco Calvo, Ramón Agüero Eisl, Jochen |
| Abstract | In this paper we discuss aggregated mobility patterns and physical proximity of nodes within Ambient Networks, where an Ambient Network can be described as a network that integrates heterogeneous nodes and access techniques. We illustrate how awareness of node mobility patterns can be used to identify groups of nodes moving together, and how this grouping can be used to decrease signaling overhead, for example the signaling associated with a mobility event, and increase transmission efficiency. First, we describe the architectural and naming issues associated with this concept and discuss a number of mobility optimizations that can be applied to these moving networks. Further, we introduce algorithms that can recognize the presence of a routing group to enable the use of routing and mobility optimizations. Finally, we assess the performance and benefits of the routing group approach by means of simulation. |
| File Format | |
| ISBN | 1595935193 |
| DOI | 10.1145/1292331.1292403 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-10-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mobility Ambient networks Routing groups |
| Content Type | Text |
| Resource Type | Article |
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