Multi-factor-balanced clustering algorithm in satellite networks

Dong Ni Li; Da Kun Zhang

Multi-factor-balanced clustering algorithm in satellite networks

Dong Ni Li^*, Da Kun Zhang

^*Corresponding author for this work

School of Computer Science and Technology

Tiangong University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Based on satellites' movement, a number of time slices are divided, during which the network topology can be taken as fixed. On this basis, considering multi-factors like stability, survivability and transmission efficiency and optimizing between them, a clustering algorithm in low earth orbit (LEO) satellite networks are proposed. Applying the algorithm to the Iridium model, simulation results showed that the performances on signaling overhead and scalability were much better than the case of flat network structure.

Original language	English
Pages (from-to)	62-65
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	28
Issue number	1
Publication status	Published - Jan 2008

Keywords

Ad hoc network
Clustering algorithm
Multi-factor balanced
Satellite network

Cite this

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title = "Multi-factor-balanced clustering algorithm in satellite networks",

abstract = "Based on satellites' movement, a number of time slices are divided, during which the network topology can be taken as fixed. On this basis, considering multi-factors like stability, survivability and transmission efficiency and optimizing between them, a clustering algorithm in low earth orbit (LEO) satellite networks are proposed. Applying the algorithm to the Iridium model, simulation results showed that the performances on signaling overhead and scalability were much better than the case of flat network structure.",

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AB - Based on satellites' movement, a number of time slices are divided, during which the network topology can be taken as fixed. On this basis, considering multi-factors like stability, survivability and transmission efficiency and optimizing between them, a clustering algorithm in low earth orbit (LEO) satellite networks are proposed. Applying the algorithm to the Iridium model, simulation results showed that the performances on signaling overhead and scalability were much better than the case of flat network structure.

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KW - Satellite network

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Multi-factor-balanced clustering algorithm in satellite networks

Abstract

Keywords

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