Research and Simulation the Cooperation among BITM-Based WSN Nodes

Abstract:

Wireless Sensor Networks (WSNs) are becoming more and more speedily and widely used nowadays. While it is usually deployed in the non-controlled environment faced with many kinds of threats. So ensure confidence and cooperation among every pair of interacting nodes is critical, but traditional security measures do little help. The Biologically-Inspired Trust Model (BITM) based on Ant Colony Systems (ACS) aiming at providing trust in WSNs is proposed, also the features and architecture of the simulation system. Simulation experiment results demonstrate that the output average path length, the average deviation etc of the proposed model can meet with the situations and improve the nodes’ cooperation

• Periodical: Advanced Materials Research (Volume 459)
• Pages: 589-593
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.459.589
• Online since: January 2012
• Authors: Shou Qiang Liu, De Yu Qi, Jing Meng
• Keywords: Ant Colony System (ACS), Biologically-Inspired Trust Model (BITM), Cooperation, Wireless Sensor Network (WSN)

References

[1] Zhengqiang L., Songshi W.: Analysis of Ratings on Trust Inference in Open Environments. J. In Proceedings of Perform. Eval. pp.99-128(2008).

[2] Chao W., Xiangyu J., Qiang L.: Credibility-based routing algorithm for wireless sensor network security, .J. communications Journal, No. 11(2008).

[3] Haiguang C., Huafeng W., Xi Z, et al.: Reputation-based Trust in Wireless Sensor Networks. C. International Conference on Multimedia and Ubiquitous Engineering(MUE'07) (2007).

DOI: 10.1109/mue.2007.181

[4] Mingwu Z., Bao Y. et al.: Using Trust Metric to Detect Malicious Acts in WSNs. C. In Eighth ACIS International Coference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. IEEE(2007).

DOI: 10.1109/snpd.2007.325

[5] Hang L., Lei L; Qiang T.: Act-Based Trust in Wireless Sensor Network. J. IN APWeb Workshops 2006, LNCS 3842, pp.214-223(2006).

[6] Marti, S., & Garcia-Molina, H.: Taxonomy of trust: categorizing P2P reputation systems. J. Computer Networks, 50(4), 472–484(2006).

DOI: 10.1016/j.comnet.2005.07.011

[7] Dorigo, M., & Gambardella, L. : Ant colony system: a cooperative learning approach in the traveling salesman problem. J. IEEE Transaction on Evolutionary Computing, 1(1), p.53–66(1997).

DOI: 10.1109/4235.585892

[8] Dorigo, M., Gambardella, L., Birattari,M., Martinoli, A., Poli, R., & Stützle, T.: Ant colony optimization and swarm intelligence. In LNCS: Vol. 4150. 5th international workshop, ANTS2006. Brussels: Springer (2006).

DOI: 10.1007/11839088

[9] Dhurandher, S. K., Misra, S., Obaidat, M. S., & Gupta, N.: An ant colony optimization approach for reputation and qualityof-service-based security in wireless sensor networks. .J. Security and Communication Networks, 2(2), p.215–224 (2009).

DOI: 10.1002/sec.75

[10] Gómez, M.F. TRMSim-WSN, a trust & reputation models simulator for wireless sensor networks, http: /ants. dif. um. es/~felixgm/research/trmsim-wsn (2009).

DOI: 10.1109/icc.2009.5199545

[11] Gómez M.F., Gregorio M.P.: Providing trust in wireless sensor networks using a bio-inspired technique. J. Telecommunication Systems, Vol. 46, No. 2. , pp.163-180(2011).

DOI: 10.1007/s11235-010-9281-7

[12] Gómez M.F., Gregorio M.P., JAVIER G.M.B.: META-TACS: A trust model demonstration of robustness through a genetic algorithm. J. Intelligent Automation and Soft Computing, Vol. 17, No. 1, pp.41-59(2011).

DOI: 10.1080/10798587.2011.10643132