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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Geng Liu Jun Ye Ning |
| Copyright Year | 2011 |
| Description | Author affiliation: Northeastern University, College of Information Science and Engineering, Shenyang, China (Liu Jun; Ye Ning) || Beihang University, School of E.E, Beijing, China (Yu Geng) |
| Abstract | Space information networks, which have become a popular research focus, are a new type of self-organizing network constituted by information systems of land, sea, air and space. A clustering algorithm for space information networks was proposed to enhance network scalability. Analytic hierarchy process (AHP) was used to select cluster heads, and then non-overlapping k-hop clusters could be formed. With taking node mobility and cluster equalization of space information networks into account, mobile agents were used to migrate and duplicate functions of cluster heads in a recruiting way. Dynamical maintaining mechanisms like cluster merger/partition, reaffiliation and adaptive adjustment of information update period were also designed. Simulation results show the proposed clustering algorithm is suitable for use in space information networks and it can improve network scalability. |
| Starting Page | 1595 |
| Ending Page | 1599 |
| File Size | 330425 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424497621 |
| e-ISBN | 9781424497638 |
| DOI | 10.1109/CSSS.2011.5972024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Wireless sensor networks Space information networks Scalability Clustering algorithms Artificial neural networks Self-organizing networks AHP Mobile agent Clustering algorithm Mobile ad hoc networks |
| Content Type | Text |
| Resource Type | Article |
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