A Local Community Detection Algorithm for Large Scale Wireless Networks

DOI

10.2991/icwcsn-16.2017.137How to use a DOI?

Keywords

wireless network; local community detection; hierarchical network

Abstract

Maintaining global dynamic routing in large-scale wireless network requires lots of overhead due to the mobility of nodes, thus the hierarchical network structure is widely used in reality. Therefore, this paper proposes a modified local community detection algorithm in large scale wireless network scenario to enhance the network self-organization. In this paper, we first describe the scenario of large-scale wireless network communication. Then the algorithm of local community detection is adopted to cluster the nodes that communicate with others more frequently into a community. Finally the local community detection algorithm is modified with a selection factor. The simulation results show that the new algorithm has higher detection accuracy than classic local community detection algorithms.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dong Jia
PY  - 2016/12
DA  - 2016/12
TI  - A Local Community Detection Algorithm for Large Scale Wireless Networks
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 669
EP  - 673
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.137
DO  - 10.2991/icwcsn-16.2017.137
ID  - Jia2016/12
ER  -