Analysis of connectivity in Ad hoc network based on interference and fading channel

doi:10.1016/S1005-8885(11)60303-8

Acta Metallurgica Sinica(English letters) ›› 2012, Vol. 19 ›› Issue (5): 77-82.doi: 10.1016/S1005-8885(11)60303-8

Analysis of connectivity in Ad hoc network based on interference and fading channel

徐彬泰,朱琦

南京邮电大学

收稿日期:2012-02-12 修回日期:2012-06-30 出版日期:2012-10-31 发布日期:2012-10-08
通讯作者: 徐彬泰 E-mail:xubintai123@163.com
基金资助:
国家自然科学基金;自然科学技术重大专项;江苏省自然科学基金重大专项

Analysis of connectivity in Ad hoc network based on interference and fading channel

XU Bin-tai, ZHU Qi, HU Han

Jiangsu Key Lab of Wireless Communications, Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2012-02-12 Revised:2012-06-30 Online:2012-10-31 Published:2012-10-08
Supported by:
;National Science & Technology Key Project;Key Project of Jiangsu Provincial Natural Science Foundation

摘要/Abstract

摘要：

In Ad hoc wireless network, connectivity is a fundamental issue which restricts the design of system protocol. Based on the theory of stochastic geometry, a connectivity model focused on signal-to-interference (SIR) ratio is set up in presence of Nakagami-m fading and interference. The paper derives a close formula of connectivity probability with interference and Nakagami-m fading which is never obtained in previous works. Two-dimension shot-noise theory in stochastic geometry for interference is well applied. The formula is verified by simulation. The results show that the connectivity is affected by the scatter of users, wireless propagation environment, interference and so on.

关键词:

Ad-hoc wireless network, connectivity, the probability of isolated node, interference, Nakagami-m fading

Abstract:

Key words:

Ad-hoc wireless network, connectivity, the probability of isolated node, interference, Nakagami-m fading

中图分类号:

TN929.5

参考文献

1. Peng J. Asymptotic critical transmission radius and critical neighbor number for k-Connectivity in wireless Ad-hoc networks. Proceedings of the 5th ACM International Symposium on Mobile Ad-hoc Networking and Computing (MOBIHOC’04), May 24-26, 2004, Tokyo, Japan. New York, NY, USA, ACM, 2004: 24-26

2. Gupta P, Kumar P R. Critical power for asymptotic connectivity. Proceedings of the 37th IEEE Conference on Decision and Control (CDC’98): Vol 1, Dec 16-18, 1998, Tampa, FL, USA. Los Alamitos, CA, USA: IEEE Computer Society, 1998: 1106-1110

3. Santi P, Blough D M. The critical transmitting range for connectivity in sparse wireless Ad-hoc networks. IEEE Transactions on Mobile Computing, 2003, 2(1): 25-39

4. Santi P. The critical transmitting range for connectivity in mobile Ad-hoc networks. IEEE Transactions on Mobile Computing, 2005, 4(3): 305-317

5. Bettstetter C. On the minimum node degree and connectivity of a wireless multihop network. Proceedings of the 3rd ACM International Symposium on Mobile Ad-hoc Networking and Computing (MOBIHOC’02), Jun 09-11, 2002, Lausanne, Switzerland. New York, NY, USA: ACM, 2002: 80-91

6. Bettstetter C, Hartmann C. Connectivity of wireless multihop networks in a shadow fading environment. Wireless Networks, 2005, 11(5): 571-579

7. Hekmat R, Van Mieghem P. Connectivity in wireless Ad-hoc networks with a log-normal radio model. Mobile Networks and Applications, 2006, 11(3): 351-360

8. Miorandi D, Altman E, Alfano G, The impact of channel randomness on coverage and connectivity of Ad-hoc and sensor networks. IEEE Transactions on Wireless Communications, 2008, 7(3): 1062-1072

9. Dousse O, Baccelli F, Thiran P. Impact of interferences on connectivity in Ad-hoc networks. IEEE/ACM Transactions on Networking, 2005, 13(2): 425-436

10. Rajagopalan R, Pramod K V. Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading. IEEE Transactions on Wireless Communications, 2009, 8(7): 3475-3483

11. Venkataraman J, Haenggi M. Shot noise models for outage and throughput analyses in wireless Ad-hoc networks. Proceedings of the IEEE Military Communications Conference (Milcom’06), Oct 23-25, 2006, Washington, DC, USA. Piscataway, NJ, USA: IEEE, 2006: 7p

12. Alzer H. On some inequalities for the incomplete gamma function. Mathematics of Computation, 1997, 66: 771-778

13. Dong J B, Chen Q, Zhisheng N R. Graph theory based connectivity analysis in wireless sensor networks with rayleigh fading channels. Proceedings of the 13th Asia-Pacific Conference on Communications (APCC’07), Oct 18-20, 2007, Bangkok, Thailand. Piscataway, NJ, USA: IEEE, 2007: 123-126

14. Liu F W. Study on connectivity of wireless Ad-hoc networks.Master Thesis. Hangzhou, China: Zhejiang University, 2008 (in Chinese)

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Analysis of connectivity in Ad hoc network based on interference and fading channel

Analysis of connectivity in Ad hoc network based on interference and fading channel

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