Degree distribution and robustness of cooperativecommunication network with scale-free model

doi:10.1088/1674-1056/24/6/060101

Abstract With the requirements of users enhanced for wireless communication, the cooperative communication will become a development trend in future. In this paper, a model based on complex networks with both preferential attachment is researched to solve an actual network CCN (Cooperative Communication Network). Firstly, the evolution of CCN is given by four steps with different probabilities. At the same time, the rate equations of nodes degree are presented to analyze the evolution of CCN. Secondly, the degree distribution is analyzed by calculating the rate equation and numerical simulation. Finally, the robustness of CCN is studied by numerical simulation with random attack and intentional attack to analyze the effects of degree distribution and average path length. The results of this paper are more significant for building CCN to programme the resource of communication.

Keywords: cooperative communication complex networks scale-free degree distribution robustness

Received: 14 October 2014
Revised: 11 January 2015
Accepted manuscript online:

PACS:	01.20.+x	(Communication forms and techniques (written, oral, electronic, etc.))
	02.60.Nm	(Integral and integrodifferential equations)
	05.10.-a	(Computational methods in statistical physics and nonlinear dynamics)
	05.65.+b	(Self-organized systems)

Fund: Project supported by the Natural Science Foundation of Beijing (Grant No. 4152035) and the National Natural Science Foundation of China (Grant No. 61272507).

Corresponding Authors: Wang Jian-Ping
E-mail: jpwang@ustb.edu.cn

About author: 01.20.+x; 02.60.Nm; 05.10.-a; 05.65.+b

Cite this article:

Wang Jian-Rong (王建荣), Wang Jian-Ping (王建萍), He Zhen (何振), Xu Hai-Tao (许海涛) Degree distribution and robustness of cooperativecommunication network with scale-free model 2015 Chin. Phys. B 24 060101

[1]	Foschini G J and Gans M J 1998 Wireless Personal Communications 6 331
[2]	Telatar I E 1999 Eur. Trans. Telecommun. 10 585
[3]	Hai L and Zhang Y R 2012 Acta Phys. Sin. 61 180101 (in Chinese)
[4]	Laneman J N and Wornell G W 2003 IEEE Trans. Inform. Theory 49 2415
[5]	Laneman J N and Wornell G W 2004 IEEE Trans. Inform. Theory 50 3062
[6]	Sendonaris A, Berkip E and Aazhang B 2003 IEEE Trans. Commun. 51 1927
[7]	Sendonaris A, Berkip E and Aazhang B 2003 IEEE Trans. Commun. 51 1939
[8]	Genc Z, Rizvi U H, Onur E and Niemegeers L 2010 Wireless Pers Commun. 53 349
[9]	Zummo S A 2006 IEEE Commun. Soc. 10 4560
[10]	Wang TR and Giannakis GB 2008 IEEE J. Selec. Areas Commun. 26 561
[11]	Abarghouei M B and Hoseini A M D 2011 Phys. Commun. 4 144
[12]	Lai H Q, Chen Y and Ray Liu K J 2014 Comput. Netw. 58 228
[13]	Bhatnagar M R and Hjorungnes A 2010 Wireless Pers. Commun. 53 1
[14]	Al-Humaidi F A and Shahbazpanahi S 2013 Signal Processing 93 3363
[15]	Ramamoorthy R, Yu F R, Tang H, Mason P and Boukerche A 2012 Comput. Commun. 35 597
[16]	An D, Woo H, Yoon H and Yeom L 2013 Comput. Netw. 57 99
[17]	Hong L and Chen W 2014 Ad Hoc Networks 14 95
[18]	Watts D J and Strogatz S H 1998 Nature 393 440
[19]	Barabasi A L and Albert R 1999 Science 286 509
[20]	Albert R and Barabasi A L 2000 Phys. Rev. Lett. 85 5234
[21]	Li X and Chen G R 2003 Physica A 328 274
[22]	Chen Q H and Shi D H 2004 Physica A 335 240
[23]	Shahadat U, Shahriar T H M and Liaquat H 2011 Physica A 390 2845
[24]	Mishkovski I, Biey M and Kocarev L 2011 Commun. Nonlinear Sci. Numer. Simul. 16 341
[25]	Gentile F S, Moiola J L and Paolini E E 2014 Commun. Nonlinear Sci. Numer. Simul. 19 1113
[26]	Cinara G G and Carlos H C R 2011 Physica A 390 4684

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