A Probabilistic Approach for Detecting Node Failures in Mobile Wireless Networks

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-61 Number-1
Year of Publication : 2018
Authors : Nisha G, Dr. M. Victor Jose., M.E., Ph.D.,
DOI :  10.14445/22312803/IJCTT-V61P106

MLA

MLA Style: Nisha G, Dr. M. Victor Jose., M.E., Ph.D., "A Probabilistic Approach for Detecting Node Failures in Mobile Wireless Networks" International Journal of Computer Trends and Technology 61.1 (2018): 30-34.

APA Style:Nisha G, Dr. M. Victor Jose., M.E., Ph.D.,, (2018). A Probabilistic Approach for Detecting Node Failures in Mobile Wireless Networks. International Journal of Computer Trends and Technology, 61(1), 30-34.

Abstract
Mobile ad-hoc network (MANET) is a constantly self-configuring, communications are fewer networks of the mobile strategy is associated wirelessly. Every devices are in a MANET complimentary to shift alone in any direction and determination consequently modify its associates to previous devices is frequently. Regrettably the mobile devices are defenceless to the failure since an assortment of the factor are counting the physical injure due to the deployment of in harsh ecological conditions, restricted energy and nasty attacks. Detecting node failures in mobile wireless networks is very challenging and the network topologies are highly dynamic. In this paper, a probabilistic approach and two node failure detection scheme are planned with the intention of merge restricted monitor, site inference and node association for the mobile wireless networks. In first method we use the binary feedback, the node cannot listen to the beginning of a adjacent node and it use the individual data from the choice. In second method use the non-binary feedback, to gather the data from its neighbours and uses data together to make the resolution. In reproduction results are display that the proposed scheme are accomplish the high failure finding rate, low false positive rate and low communiqué is transparency.

Reference
[1] G.Jakobson and M. D. Weissman. Alarm correlation. IEEE Network, pages 52–59, Nov., 1993.
[2] L.Kant, W. Chen, C-W. Lee, A. S. Sethi, M. Natu, L. Luo, and C-C. Shen. D-flash: Dynamic fault localization and self-healing for battlefield networks. In ASC’04, the 24th Army Science Conference, Orlando, FL, Nov.-Dec. 2004.
[3] D.B. Johnson and D. A. Maltz, “Dynamic Source Routing in Ad-Hoc Wireless Networks,” Mobile Computing, T. Imielinski and H. Korth, Eds., Kluwer, 1996, pp. 153–81.
[4] M.E.J. Newman and M. Girvan. Finding and evaluating community structure in networks. Proposed in the 2004.
[5] C.Bettstetter. Smooth is Better than Sharp: A Random Mobility Model for Simulation of Wireless Networks. In Proc. of ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pages 19–27, New York, NY, USA, 2001. ACM.
[6] T.D. Chandra and S. Toueg. Unreliable Failure Detectors for Reliable Distributed Systems. Journal of the ACM, 43:225–267, 1996.
[7] C.-F. Hsin and M. Liu. A Distributed Monitoring Mechanism for Wireless Sensor Networks. In Proc. of ACM WiSe, December 2002.
[8] M.Natu and A. Sethi. Adaptive Fault Localization for Mobile, AdHoc Battlefield Networks. In Proc. of IEEE Milcom, Atlantic City, NJ, October 2005
[9] N.Sridhar. Decentralized Local Failure Detection in Dynamic Distributed Systems. In IEEE Symposium on Reliable Distributed Systems (SRDS), pages 143–154, 2006.
[10] I.Constandache, R. R. Choudhury, and I. Rhee. Towards Mobile Phone Localization without War-Driving. In Proc. of IEEE INFOCOM, March2010.
[11] Y.Yi, M. Gerla, and K. Obraczka. Scalable Team Multicast in Wireless Ad Hoc Networks Exploiting Coordinated Motion. Ad Hoc Networks, 2(2):171–184, 2004.
[12] S.S. Ahuja, R. Srinivasan, and M. Krunz, “Single-link failure detection in all-optical networks using monitoring cycles and paths,” IEEE/ACM Trans. Netw., vol. 17, no. 4, pp. 1080–1093, Aug. 2009.
[13] Ravindra Navanath, Duche and Nisha P. Sarwade. Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs. In IEEE Sensors Journal, pages 455–464,Vol. 14, No. 2, 2014
[14] C.-C. Song, C.-F. Feng, C.-H. Wang, and D.-C. Liaw, “Simulation and experimental analysis of a ZigBee sensor network with fault detection and reconfiguration mechanism,” in Proc. 8th ASCC, May 2011, pp. 659–664.
[15] A.Mojoodi, M. Mehrani, F. Forootan, and R. Farshidi, “Redundancy effect on fault tolerance in wireless sensor networks,” Global J. Comput. Sci. Technol., vol. 11, no. 6, pp. 35-40, Apr. 2011.

Keywords
Wireless Networks, Binary Feedback, failure detection, Non-Binary Feedback.