Skip to main content
SpringerLink
Log in

Mobile Agents for CPS in Intelligent Transportation Systems

  • Conference paper
  • First Online:
Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 260))

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wen JR, Wu MQ, Su JF (2012) Cyber–physical system. Acta Automatica Sinica 38(4):507–515

    Article  Google Scholar 

  2. Wang ZJ, Xie LL (2011) Cyber–physical systems: a survey. Acta Automatica Sinica 37(10):1157–1166

    MathSciNet  Google Scholar 

  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 28–39

    Google Scholar 

  4. Han L, Potter S, Beckett G, Pringle G, Welch S, Koo SH, Tate A (2010) FireGrid: an e-infrastructure for next-generation emergency response support. J Parallel Distrib Comput 70(11):1128–1141

    Article  Google 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, WDC

    Google Scholar 

  6. Zhao J, Liu B (2010) An overview of mobile agent (Mogent). Micro Process 31(1):1–5

    MATH  Google Scholar 

  7. Chen M, Gonzalez S, Leung V (2007) Applications and design issues for mobile agents in wireless sensor networks. IEEE Wirel Commun 14(6):20–26

    Article  Google Scholar 

  8. Wang R, Zhou C (2001) The study of mogent (mobile agent): an overview. Appl Res Comput 18(6):9–11

    Google Scholar 

  9. Beresford AR, Bacon J (2006) Intelligent transportation systems. IEEE Pervasive Comput 5(4):63–67

    Article  Google Scholar 

  10. Dimitrakopoulos G, Demestichas P (2010) Intelligent transportation systems. IEEE Veh Technol Mag 5(1):77–84

    Article  Google Scholar 

  11. Weiland RJ, Purser LB (2000) Intelligent transportation systems, transportation in the new millennium

    Google Scholar 

  12. Miller J (2008) Vehicle–to–vehicle–to–infrastructure (V2V2I) intelligent transportation system architecture. IEEE intelligent vehicles Symposium, pp. 715–720

    Google Scholar 

  13. Wang F (2010) Parallel control and management for intelligent transportation systems: concepts, architectures, and applications. IEEE Intell Transp Syst 11(3):630–638

    Article  Google Scholar 

  14. Chen M, Wan J, Li F (2012) Machine-to-machine communications: architectures, standards, and applications. KSII Trans Internet Inf Syst 6(2):480–497

    Google Scholar 

  15. Li LI, Liu YA, Tang BH (2007) SNMS: an intelligent transportation system network architecture based on WSN and P2P network. J China Univ Posts Telecommun 14(1):65–70

    Article  MathSciNet  Google 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 447–451

    Google 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 457–460

    Google Scholar 

  18. Chen M, Gonzalez S, Zhang Q, Leung VC (2010) Code-centric RFID system based on software agent intelligence. IEEE Intell Syst 25(2):12–19

    Article  Google Scholar 

  19. Tseng YC, Kuo SP, Lee HW, Huang CF (2004) Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. Comput J 47(4):448–460

    Article  Google 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 269–275

    Google Scholar 

  21. Chen M, Leung V, Mao S, Kwon T (2009) Receiver-oriented load-balancing and reliable routing in wireless sensor networks. Wirel Commun Mob Comput 9(3):405–416

    Article  Google Scholar 

  22. Wan J, Yan H, Suo H, Li F (2011) Advances in cyber-physical systems research. KSII Trans Internet Inf Syst 5(11):1891–1908

    Google Scholar 

  23. Chen M, Gonzalez S, Zhang Y, Leung V (2009) Multi-agent itinerary planning for wireless sensor networks. Qual Serv Heterogen Netw 22:584–597

    Article  Google Scholar 

  24. Wu FJ, Kao YF, Tseng YC (2011) From wireless sensor networks towards cyber physical systems. Pervasive Mob Comput 7(4):397–413

    Article  Google 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 877–884

    Google 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 747–751

    Google Scholar 

Download references

Acknowledgments

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.

Author information

Authors and Affiliations

  1. School of Information Engineering, Guangdong Jidian Polytechinc, Guangzhou, China

    Yingying Wang, Hehua Yan & Jiafu Wan

  2. College of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

    Keliang Zhou

Authors
  1. Yingying Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hehua Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiafu Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Keliang Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hehua Yan .

Editor information

Editors and Affiliations

  1. ES Department, National Cheng Kung University, Tainan City, Taiwan

    Yueh-Min Huang

  2. Engineering, National Ilan University Inst. Computer Science & Information, I-Lan, Taiwan

    Han-Chieh Chao

  3. Dept of Computer Sci. and Inf. Bao-Shan Campus, National Changhua University of Education, Changhua City, Taiwan

    Der-Jiunn Deng

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Wang, Y., Yan, H., Wan, J., Zhou, K. (2014). Mobile Agents for CPS in Intelligent Transportation Systems. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_82

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-7262-5_82

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7261-8

  • Online ISBN: 978-94-007-7262-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation