Mobile Agents for CPS in Intelligent Transportation Systems
Recently, cyber-physical systems (CPS) have emerged as a promising direction to enrich the interactions between physical and virtual worlds. Because of the large-scale features of CPS, mobile agents (MA) technology can promote the performance of CPS. In this article, we first introduce the concept and characteristics of CPS, MA, and intelligent transportation system (ITS). Then, we propose the structure of intelligent transportation CPS (ITCPS). On this basis, giving the case of mobile agents for ITCPS, we exploit a mobile agent by three levels (node level, task level, and combined task level) to reduce the information redundancy and communication overhead. Finally, we in brief outline the technical challenges for ITCPS.
KeywordsAdaptive mobile agents Cyber-physical systems Intelligent transportation system
The authors would like to thank the National Natural Science Foundation of China (No. 61262013), the Natural Science Foundation of Guangdong Province, China (No. S2011010001155), and the High-level Talent Project for Universities, Guangdong Province, China (No. 431, YueCai Jiao 2011) for their support in this research.
- 3.Wang X, Xing G, Zhang Y, Lu C, Pless R, Gill C (2003) Integrated coverage and connectivity configuration in wireless sensor networks. In: Proceedings of the 1st international conference on Embedded networked sensor systems, Los Angeles, California, USA, pp 28–39Google Scholar
- 5.Ranjan S, Gupta A, Basu A, Meka A, Chaturvedi A (2000) Adaptive mobile agents: modeling and a case study. In: Proceedings of 2nd workshop on distributed computing IEEE Ind CFP, WDCGoogle Scholar
- 8.Wang R, Zhou C (2001) The study of mogent (mobile agent): an overview. Appl Res Comput 18(6):9–11Google Scholar
- 11.Weiland RJ, Purser LB (2000) Intelligent transportation systems, transportation in the new millenniumGoogle Scholar
- 12.Miller J (2008) Vehicle–to–vehicle–to–infrastructure (V2V2I) intelligent transportation system architecture. IEEE intelligent vehicles Symposium, pp. 715–720Google Scholar
- 14.Chen M, Wan J, Li F (2012) Machine-to-machine communications: architectures, standards, and applications. KSII Trans Internet Inf Syst 6(2):480–497Google Scholar
- 16.Suo H, Wan J, Huang L, Zou C (2012) Issues and challenges of wireless sensor networks localization in emerging applications. In: Proceedings of 2012 international conference on computer science and electronic engineering, Hangzhou, China, pp 447–451Google Scholar
- 17.Wan J, Li D (2010) Fuzzy feedback scheduling algorithm based on output jitter in resource–constrained embedded systems. In Proceedings of international conference on challenges in environmental science and computer engineering, Wuhan, China, pp 457–460Google Scholar
- 20.Zou C, Wan J, Chen M, Li D (2012) Simulation modeling of cyber-physical systems exemplified by unmanned vehicles with WSNs navigation. In Proceedings of the 7th international conference on embedded and multimedia computing technology and service, Gwangju, Korea, pp 269–275Google Scholar
- 22.Wan J, Yan H, Suo H, Li F (2011) Advances in cyber-physical systems research. KSII Trans Internet Inf Syst 5(11):1891–1908Google Scholar
- 25.Liu J, Wang Q, Wan J, Xiong J (2012) Towards real-time indoor localization in wireless sensor networks. In: Proceedings of 12th IEEE international conference on computer and information technology, Chengdu, China, pp 877–884Google Scholar
- 26.Yan H, Wan J, Suo H (2011) Adaptive resource management for cyber–physical systems. In: Proceedings of international conference on mechatronics and applied mechanics, HongKong, pp 747–751Google Scholar