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Improved AOW clustering algorithms for wireless self-organized network and performance analysis

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3 Author(s)
Haitao Wang ; Inst. of Commun. Eng., PLA Univ. of Sci. & Tech., Nanjing, China ; Hui Chen ; Lihua Song

In wireless self-organized network (WSON), AOW clustering algorithms can achieve better performance and high adaptability, but having limitations in certain circumstances. In this paper, working procedure and shortcomings of AOW are introduced and analyzed firstly. Then, several modified algorithms based on AOW are designed according to system requirements. Simulation experiments are conducted to compare modified algorithms and original AOW algorithm and simulation results show modified algorithms can improve overall performance of clustering network further in specific scenarios.

Published in:

Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2012

Date of Conference:

23-27 July 2012