Intelligent mobile video surveillance system as a Bayesian coalition game in vehicular sensor networks: Learning automata approach

IEEE Transactions on Intelligent Transportation Systems

Volumn 16, Issue 3, 2015, Pages 1148-1161

  Kumar, Neeraj ^a   Lee, Jong Hyouk ^b   Rodrigues, Joel J P C ^c,d  

^a THAPAR UNIVERSITY   (India)

^b Sangmyung University   (South Korea)

^c UNIVERSITY OF BEIRA INTERIOR   (Portugal)

^d INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

Author keywords

Game theory; learning automata (LA); mobile video surveillance; vehicular sensor networks (VSNs)

Indexed keywords

AUTOMATA THEORY; BANACH SPACES; BAYESIAN NETWORKS; MONITORING; SECURITY SYSTEMS; SENSOR NETWORKS; STOCHASTIC SYSTEMS;

CONVERGENCE OF SEQUENCE; DIFFERENTIABLE FUNCTIONS; LEARNING AUTOMATON; MOBILE VIDEO SURVEILLANCE; PERFORMANCE EVALUATION METRICS; STATE-OF-THE-ART SCHEME; VEHICULAR SENSOR NETWORK; VEHICULAR SENSOR NETWORKS (VSNS);

GAME THEORY;

EID: 85027957305     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2014.2354372     Document Type: Article

References (50)

1. N. Kumar and J.-H. Lee, "Peer-to-peer cooperative caching for data dissemination in urban vehicular communications," IEEE Syst. J. [Online]. Available: http://dx.doi.org/10.1109/JSYST.2013.2285611
2. A. Dua, N. Kumar, and S. Bawa, "A systematic review on routing protocols for vehicular ad hoc networks," Veh. Commun., vol. 1, no. 1, pp. 33-52, Jan. 2014.
3. Y. Liu et al., "The insight of message delivery delay in VANETs with a bidirectional model," J. Netw. Comput. Appl., vol. 34, no. 5, pp. 1287-1294, Sep. 2013.
4. S. Sultan, M. Doori, A. Bayatti, and H. Zedan, "A comprehensive survey on vehicular adhoc networks," J. Netw. Comput. Appl., vol. 37, no. 1, pp. 380-392, Jan. 2014.
5. M. Gerla and L. Kleinrock, "Vehicular networks and future of mobile internet," Comput. Netw., vol. 55, no. 2, pp. 457-469, Feb. 2011.
6. F. Nilsson, Intelligent Network Video: Understanding Modern Video Surveillance Systems. Boca Raton, FL, USA: CRC Press, 2008.
7. A. K. Petersen and J. Cassens, "Proxies for privacy in ambient systems," J. Wireless Mobile Netw., Ubiquitous Comput., Dependable Appl., vol. 1, no. 4, pp. 62-74, 2010.
8. K. Yim, "Integrated network camera distribution server supporting heterogeneous videos and multiple users," Small and Medium Business Administration, Daejeon, Korea, 2007, Project Report.
9. K. Yim, "Security issues on the networked video surveillance system," Korea Internet Security Agency, Seoul, Korea, 2009, Technical Report.
10. K. Lee, K. Yim, and A. M. Mikki, "A secure framework of the surveillance video network integrating heterogeneous video formats and protocols," Comput. Math. Appl., vol. 63, no. 2, pp. 525-535, Jan. 2012.
11. C. Wang, R. Chang, and J. Ho, "Collaborative video surveillance for distributed visual data mining of potential risk and crime detection," in Proc. Surveillance Technol. Early Warning Syst., Data Mining Appl. Risk Detection, 2010, pp. 194-204.
12. K. Stuhlmuller, N. Farber, M. Link, and B. Girod, "Analysis of video transmission over lossy channels," IEEE J. Sel. Areas Commun., vol. 18, no. 6, pp. 1012-1032, Jun. 2000.
13. D. Tran, K. Hua, and S. Sheu, "A new caching architecture for efficient video-on-demand services on the Internet," in Proc. SAINT, 2003, pp. 172-181.
14. W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 34, no. 3, pp. 334-352, Aug. 2004.
15. X. Yuan, Z. Sun, Y. Varol, and G. Bebis, "A distributed visual surveillance system," in Proc. IEEE Conf. Adv. Video Signal Based Surveillance, 2003, pp. 199-204.
16. Z. Quan, A. Subramanian, and A. Sayed, "REACA: An efficient protocol architecture for large scale sensor networks," IEEE Trans. Wireless Commun., vol. 6, no. 8, pp. 2924-2933, Aug. 2007.
17. V. Parthasarathy, J. Modestino, and K. Vastola, "Reliable transmission of high-quality video over ATM networks," IEEE Trans. Image Process., vol. 18, no. 3, pp. 361-374, Mar. 1999.
18. X. Wang, "Intelligent multi-camera video surveillance: A review," Pattern Recog. Lett., vol. 34, no. 1, pp. 3-19, Jan. 2013.
19. V. Kettnaker and R. Zabih, "Bayesian multi-camera surveillance," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog., 1999, pp. 253-259.
20. K. C. Lan, C. M. Chou, and H. Y. Wang, "An incentive based framework for vehicle based mobile sensing," Procedia Comput. Sci., vol. 10, no. 2, pp. 1152-1157, 2012.
21. N. Ramzan, T. Zgaljic, and E. Izquierdo, "An efficient optimization scheme for scalable surveillance video centric communication," J. Image Commun., vol. 24, no. 6, pp. 510-523, Jul. 2009.
22. C. Sacchi, F. Granelli, C. S. Regazzoni, and F. Oberti, "A real time algorithm for error recovery in remote video based surveillance applications," Signal Process., Image Commun., vol. 17, no. 2, pp. 165-186, Feb. 2002.
23. W. Niu et al., "Interaction relationship of caches in agent based HD-based video surveillance: Discovery and utilization," J. Netw. Comput. Appl., vol. 37, no. 1, pp. 155-169, Jan. 2014.
24. C. Pham, A. Makhoul, and R. Saadi, "Risk based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications," J. Netw. Comput. Appl., vol. 34, no. 2, pp. 783-795, Mar. 2011.
25. Y. Xia, H. Shen, and X. Dong, "The design of 3G mobile video surveillance system based on J2ME platform," Procedia Eng., vol. 15, pp. 2423-2427, 2011.
26. J. Torkestani and M. Meybodi, "Mobility-based multicast routing algorithm for wireless mobile ad-hoc networks: A learning automata approach," Comput. Commun., vol. 33, no. 6, pp. 721-735, Apr. 2010.
27. K. Narendra and M. Thathachar, "On the behavior of a learning automaton in a changing environment with application to telephone traffic routing," IEEE Trans. Syst., Man, Cybern., vol. l0, no. 5, pp. 262-269, May 1980.
28. S. Misra, V. Krishna, and V. Saritha, "LACAV: An energy efficient channel assignment mechanism for vehicular ad hoc networks," J. Supercomput., vol. 62, no. 3, pp. 1241-1262, Dec. 2012.
29. S. Misra et al., "A learning automata based fault tolerant routing algorithm for mobile ad hoc networks," J. Supercomput., vol. 62, no. 1, pp. 4-23, Oct. 2012.
30. S. Misra, B. J. Oommen, S. Yanamandra, and M. S. Obaidat, "Random early detection for congestion avoidance in wired networks: A decentralized pursuit learning automata like solution," IEEE Trans. Syst., Man, Cybern., vol. 40, no. 1, pp. 66-76, Feb. 2010.
31. W. Saad et al., "Coalition formation games for distributed cooperation among roadside units in vehicular networks," IEEE J. Sel. Areas Commun., vol. 29, no. 1, pp. 48-60, Jan. 2011.
32. N. Kumar and J. Kim, "ELACCA: Efficient learning automata based cell clustering algorithm for wireless sensor networks," Wireless Personal Commun., vol. 73, no. 4, pp. 1495-1512, Dec. 2013.
33. N. Kumar, N. Chilamkurti, and J. P. C. Rodrigues, "Learning automata based opportunistic data aggregation and forwarding scheme for alert generation in vehicular ad hoc networks," Comput. Commun., vol. 39, pp. 22-32, Feb. 2014. [Online]. Available: http://dx.doi.org/10.1016/j. comcom.2013.09.005
34. N. Kumar and N. Chilamkurti, "Collaborative trust aware intelligent intrusion detection in VANETs," Comput. Electr. Eng., vol. 40, no. 6, pp. 1981-1996, Aug. 2014.
35. H. Dong, X. Liao, A. Adhikari, K. Sakurai, and M. Yokoo, "A repeated game approach for analyzing the collusion on selective forwarding in multihop wireless networks," Comput. Commun., vol. 35, no. 17, pp. 2125-2137, Oct. 2012.
36. M. L. Wong and K. S. Leung, "An efficient data mining method for learning Bayesian networks using an evolutionary algorithm based hybrid approach," IEEE Trans. Evol. Comput., vol. 8, no. 4, pp. 378-404, Aug. 2004.
37. P. Gupta and P. R. Kumar, "The capacity of wireless networks," IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 388-404, Mar. 2000.
38. Fourozan, "Data communication and networking," TMH, 2007.
39. N. Kumar, M. Kumar, and R. B. Patel, "Capacity and interference aware link scheduling with channel assignment in wireless mesh networks," J. Netw. Comput. Appl., vol. 34, no. 1, pp. 30-38, Jan. 2011.
40. K. Akkarajitsakul, E. Hossain, and D. Niyato, "Coalition-based cooperative packet delivery under uncertainty: A dynamic Bayesian coalition game," IEEE Trans. Mobile Comput., vol. 12, no. 2, pp. 371-385, Feb. 2013.
41. M. L. Wong and K. S. Leung, "An efficient data mining method for learning Bayesian networks using an evolutionary algorithm based hybrid approach," IEEE Trans. Evol. Comput., vol. 8, no. 4, pp. 378-404, Aug. 2004.
42. K. Mershad, H. Artail, and M. Gerla, "Roadside units as message routers in VANETs," Ad hoc Netw., vol. 10, no. 3, pp. 479-496, May 2012.
43. ns-2 Simulator. [Online]. Available: www.isi.edu/nsnam/ns/
44. E. Setton, T. Yoo, X. Zhu, A. Goldsmith, and B. Girod, "Cross-layer design of ad-hoc networks for real time video streaming," IEEE Wireless Commun. Mag., vol. 12, no. 4, pp. 59-65, Aug. 2005.
45. H. P. Shiang and M. Van der Schaar, "Multiuser video streaming over multihop wireless networks: A distributed, cross layer approach based on priority queuing," IEEE J. Sel. Area Commun., vol. 25, no. 4, pp. 770-785, May 2007.
46. R. Rosenthal, "A class of games possessing pure-strategy Nash equilibrium," Int. J. Game Theory, vol. 2, no. 1, pp. 65-67, 1973.
47. F. Wu, S. Zhong, and S. Qiao, "Strong-incentive, high throughput channel assignment for non-cooperative wireless networks," IEEE Trans. Parallel Distrib. Syst., vol. 21, no. 12, pp. 1808-1821, Dec. 2010.
48. D. Niyato and E. Hossain, "Dynamics of network selection in heterogeneous wireless networks: An evolutionary game approach," IEEE Trans. Veh. Technol., vol. 58, no. 4, pp. 2008-2017, May 2009.
49. J. Jaramillo and R. Srikant, "A game theory based reputation mechanism to incentivize cooperation in wireless ad hoc networks," Ad Hoc Netw., vol. 8, no. 5, pp. 416-429, Jun. 2010.
50. T. M. Apostol, Mathematical Analysis, 2nd ed. London, U.K.: Pearson Publication, 1974.