Connected model for opportunistic sensor network based on Katz centrality | Zendy

Jian Shu | Zendy; Lei Xu | Zendy; Shandong Jiang | Zendy; Meng Lingchong | Zendy

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Connected model for opportunistic sensor network based on Katz centrality

Author(s) -

Jian Shu,

Lei Xu,

Shandong Jiang,

Meng Lingchong

Publication year - 2017

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis161210026s

Subject(s) - computer science , snapshot (computer storage) , adjacency matrix , centrality , graph theory , wireless sensor network , adjacency list , graph , theoretical computer science , distributed computing , computer network , algorithm , mathematics , combinatorics , operating system

Connectivity is an important indicator of network performance. But the opportunistic sensor networks (OSNs) have temporal evolution characteristics, which are hard to modelled with traditional graphs. After analyzing the characteristics of OSNs, this paper constructs OSNs connectivity model based on time graph theory. The overall connectivity degree of the network is defined, and is used to estimate actual network connectivity. We also propose a computing method that uses the adjacency matrix of each snapshot. The simulation results show that network connectivity degree can reflect the overall connectivity of OSNs, which provide a basis for improving the OSNs performance.

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