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Cognitive Agent Based Critical Information Gathering and Dissemination in Vehicular Ad hoc Networks

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Abstract

Next generation vehicles will have capability of sensing, computing, and communicating capabilities. Different components in a vehicle have to constantly exchange available information with other vehicles on the road and cooperate for the purpose of ensuring safety and comfort using a Vehicular Ad hoc Network (VANET). Critical information like navigation, cooperative collision avoidance, lane-changing, speed limit, accident, obstacle or road condition warnings, etc. play a significant role for safety-related applications in VANET. Such kind of critical information gathering and dissemination is challenging, because of their delay-sensitive nature. This paper proposes an agent based model that consists of heavy-weight static cognitive (based on Belief Desire Intention : BDI) and light-weight mobile agents. Proposed model executes push (gather/store and disseminate) and pull (gather/store) operations on information gathered based on information relevance, criticalness and importance. The simulation results show that BDI based information gathering and dissemination scheme performs better than the reliable broadcast scheme in terms of bandwidth utilization, packet delivery ratio, push latency (information saturation time) and push/pull decision latency.

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References

  1. Caliskan, M., Mauve, M., Rech, B., & Luebke, A. (2005). Collection of dedicated information in vehicular ad hoc networks. In 12th World congress on intelligent transport systems. San Francisco, USA (pp. 1–12).

  2. Fubler, H., Moreno, T., Transier, M., Kruger, R., Hartenstein, H., & Effelsberg, W. (2005). Studying vehicle movements on highways and their impact on ad-hoc connectivity. In ACM international conference on mobileComputingandNetworking (MobiCom). Cologne, Germany (pp. 26–27).

  3. Schnaufer, S., Fubler, H., Transier, M., & Effelsberg, W. (2006). Vehicular ad-hoc networks: Single-hop broadcast is not enough. In 3rd International workshop on intelligent transportation (WIT 2006). Hamburg, Germany (pp. 49–54).

  4. Balon, N., & Guo, J. (2006). Increasing broadcast reliability in vehicular ad hoc networks. In 3rd International workshop on vehicular ad hoc networks (VANET 2006). Los Angeles, USA (pp. 1–2).

  5. Manvi, S., Kakkasageri, M., Pitt, J., & Rathmell, A. (2006). Multi agent systems as a platform for VANETs. In International conference on autonomous agents and multi agent systems (AAMAS). Hakodate, Japan (pp. 35–42).

  6. Manvi S., Kakkasageri M., Pitt J. (2009) Multiagent based information dissemination in vehicular ad hoc networks. Mobile Information Systems, IOS Press 5(4): 363–389

    Google Scholar 

  7. Manvi S., Kakkasageri M. (2008) Issues in mobile ad hoc networks for vehicular communication. IETE Technical Review 25(2): 59–72

    Google Scholar 

  8. Shibata, N. et al. (2006). A method for sharing traffic jam information using inter-vehicle communication. http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf. Accessed 12 October 2009.

  9. Kumar, D., Kherani, A., & Altman, E. (2006). Route lifetime based optimal hop selection in VANETs on highway: An analytical viewpoint. IFIP Networking. Coimbra, Portugal (pp. 799–814).

  10. Johnson, M., Nardis, L., & Ramchandran, K. (2006). Collaborative content distribution for vehicular ad hoc networks. In Allerton conference on communication, control, and computing. Monticello, USA (pp. 2649–2657).

  11. Caliskan, M., Barthels, A., Scheuermann, B., & Mauve, M. (2007). Predicting parking lot occupancy in vehicular ad hoc networks. In 65th IEEE vehicular technology conference (VTC2007). Dublin, Ireland (pp. 277–281).

  12. Chawathe, S. (2006). Inter-vehicle data dissemination in sparse equipped traffic. In 9th IEEE international conference on intelligent transportation systems (ITSC). Toronto, Canada (pp. 273–280).

  13. Resta, G., Santi, P., & Simon, J. (2007). Analysis of multi-hop emergency message propagation in vehicular ad hoc networks. In 8th ACM international symposium on mobile ad hoc networking and computing. Montreal, Canada (pp. 140–149).

  14. Saxena, N., Basu, K., & Das, S. (2004). Design and performance analysis of a dynamic hybrid scheduling algorithm for heterogeneous asymmetric environments. In 18th International parallel and distributed processing symposium (IPDPS 2004). Santa Fe, New Mexico (pp. 26–30).

  15. Chuah, M., & Fu, F. (2006). Performance study of robust data transfer protocol for VANETS. In 2nd International conference on mobile ad hoc and sensor networks. Hong Kong (pp. 123–135).

  16. Nadeem, T., Shankar, P., & Iftode, L. (2006). A comparative study of data dissemination models for VANETs. In 3rd Annual international conference on mobile and ubiquitous systems. San Jose, California, USA (pp. 1–10).

  17. Mahajan, A., Potnis, N., Gopalan, K., & Wang, A. (2007). Modeling VANET deployment in urban settings. In 10th ACM symposium on modeling, analysis, and simulation of wireless and mobile systems. Greece (pp. 151–158).

  18. Lochert, C., Scheuermann, B., & Mauve, M. (2007). Probabilistic aggregation for data dissemination in VANETs. In 4th ACM international workshop on vehicular ad hoc networks. Canada (pp. 1–8).

  19. Camara, D. et al. (2008). Virtual access points for stream based traffic dissemination. In IEEE Asia-Pacific services computing conference. Yilan, Taiwan (pp. 1628–1632).

  20. Lee U. et al (2008) Dissemination and harvesting of urban data using vehicular sensing platforms. IEEE Transaction on Vehicular Technology 58(2): 882–901

    Google Scholar 

  21. Xu, B. et al. (2007). A feasibility study on disseminating spatio-temporal information via vehicular ad-hoc networks. http://cs.uic.edu/~boxu/mp2p/v2vcom07-final-xu.pdf. Accessed 12 October 2009.

  22. Park, S., & Zou, C. (2008). Reliable traffic information propagation in vehicular ad-hoc networks. In IEEE sarnoff symposium. NJ, USA, Princeton (pp. 1–6).

  23. Onus, M. et al. (2005). Efficient broadcasting and gathering in wireless ad-hoc networks. In 8th International symposium on parallel architectures, algorithms and networks. Sydney, NSW, Australia (pp. 346–351).

  24. Campelli, L., Cesana, M., & Fracchia, R. (2007). Directional broadcast forwarding of alarm messages in VANETs. http://antlab.elet.polimi.it/PUB/WONS2007.pdf. Accessed 14 October 2009.

  25. Rosi, U., Hyder, C., & Kim, T. (2008). A novel approach for infrastructure deployment for VANET. In 2nd International conference on future generation communication and networking (FGCN ’08). Hainan Island, China (pp. 234–238).

  26. Adler, C., & Strassberger, M. (2006). Putting together the pieces—a comprehensive view on cooperative local danger warning. http://www.mobile.ifi.lmu.de/common/..../adst06.pdf. Accessed 21 March 2008.

  27. Moukas, A., Chandrinos, K., & Maes, P. (1998). Trafficopter: A distributed collection system for traffic information. In 2nd International workshop on cooperative information agents, learning, mobility and electronic commerce for information discovery on the internet. Paris, France (pp. 33–43).

  28. Collins, K., & Muntean, G. (2008). A vehicle route management solution enabled by wireless vehicular networks. In 68th IEEE vehicular technology conference (VTC Fall 2008). Canada (pp. 1–5).

  29. Martinez, F., Toh, C., Cano, J., Calafate, C., & Manzoni, P. (2011). Determining the representative factors affecting warning message dissemination in VANETs. Wireless Personal Communications, Springer. doi:10.1007/s11277-011-0379-3.

  30. Martinez F., Toh C., Cano J., Calafate C., Manzoni P. (2011) A street broadcast reduction scheme (SBR) to mitigate the broadcast storm problem in VANETs. Wireless Personal Communications, Springer 56(3): 559–572

    Article  Google Scholar 

  31. Chou L., Yang J., Hsieh Y., Chang D., Tung C. (2011) Intersection-based routing protocol for VANETs. Wireless Personal Communications, Springer 60(1): 105–124

    Article  Google Scholar 

  32. Jansen, W., & Karygiannis, T. (2000). Mobile agent security. http://csrc.nist.gov/publications/nistpubs/800-19/sp800-19.pdf. Accessed 14 October 2009.

  33. Jansen, W. (2000). Countermeasures for mobile agent security. http://citeseerx.ist.psu.edu/...pdf. Accessed 14 October 2009.

  34. Manvi S., Venkataram P. (2004) Applications of agent technology in communications: A review. Computer Communications 27(15): 1493–1508

    Article  Google Scholar 

  35. Anderson R., Bothell D., Byrne M., Douglass S., Lebiere C., Qin Y. (2004) An integrated theory of mind. Psychological Review 111(4): 1036–1060

    Article  Google Scholar 

  36. Newell A. (1990) Unified theories of cognition. Harvard University Press, Cambridge, MA, pp 264–265

    Google Scholar 

  37. Huhns M., Singh M. (1998) Cognitive agents. IEEE Internet Computing 2(6): 87–89

    Article  Google Scholar 

  38. Buczak, A. (2005). A cognitive agent architecture optimized for adaptivity. http://www.atl.external.lmco.com/papers/1282.pdf. Accessed 24 October 2009.

  39. Heuvelink, A. (2007). A belief framework for modeling cognitive agents. In 8th International conference on cognitive modeling. Oxford, UK (pp. 235–240).

  40. Rao, A., & Georgeff, M. (1991). Modeling agents within a BDI-architecture. In International conference on principles of knowledge representation and reasoning (KR’91) (pp. 473–484).

  41. Pasquier, P., & Chaib-draa, B. (2005). Integrating social commitment-based communication in cognitive agent modelling. I International workshops on agent communication (AC 2005). Utrecht, Netherlands (pp. 76–92).

  42. Foltyn, L., Tozicka, J., Rollo, M., Pechoucek, M., & Jisl, P. (2006). Reflective-cognitive architecture: from abstract concept to self-adapting agent. In IEEE workshop on distributed intelligent systems: Collective intelligence and its applications. Prague, Czech Republic (pp. 326–334).

  43. Myers, K. L., & Yorke-Smith, N. (2005). A cognitive framework for delegation to an assistive user agent. In Fall symposium on mixed-initiative problem solving assistants. Arlington, USA (pp. 1–6).

  44. Bangalore city map. (2005). http://www.mapofbangalore.com, Accessed 18 April 2005.

  45. Network Simulator–ns-2. http://www.isi.edu/nsnam/ns. Accessed 25 March 2008.

  46. Bai, F., Sadagopan, N., & Helmy, A. (2003). Important: A framework to systematically analyze the impact of mobility on performance of routing protocols for ad hoc networks. In 22th IEEE annual joint conference on computer communications and networking (INFOCOM’03) (pp. 825–835).

  47. Xiuchao, W., & Ananda, A. (2004). Link characteristics estimation for IEEE 802.11 DCF based WLAN. In 29th Annual IEEE international conference on local computer networks (LCN’04). Tampa, USA (pp. 302–309).

  48. Wiethlter, S., & Hoene, C. (2004). Design and verification of an IEEE 802.11e EDCF simulation model in ns-2.26. In Technical report (pp. 1–44). University of Berlin: Telecommunication Networks Group.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Basaveshwar Engineering College, Bagalkot, Karnataka, India

    M. S. Kakkasageri

  2. Department of Electronics and Communication Engineering, REVA Institute of Technology and Management, Bangalore, Karnataka, India

    S. S. Manvi

  3. Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College, London, SW72BT, UK

    Jeremy Pitt

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  1. M. S. Kakkasageri
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  2. S. S. Manvi
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  3. Jeremy Pitt
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Correspondence to M. S. Kakkasageri.

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Kakkasageri, M.S., Manvi, S.S. & Pitt, J. Cognitive Agent Based Critical Information Gathering and Dissemination in Vehicular Ad hoc Networks. Wireless Pers Commun 69, 1107–1129 (2013). https://doi.org/10.1007/s11277-012-0623-5

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