DETECTING NODE FAILURES IN MOBILE WIRELESS NETWORKS: A PROBABILISTIC APPROACH
Author’s Name : Karthikeyini M | Vanitha Devi S | Srinivasan J | Arulprasath A
Volume 04 Issue 04 Year 2017 ISSN No: 2349-3828 Page no: 23-28
Recognizing node disappointments in portable remote systems are exceptionally testing in light of the fact that the system topology can be exceedingly powerful, the system may not be constantly associated, and the assets are restricted. In this paper, we adopt a probabilistic strategy and propose two node disappointment identification plots that methodically consolidate limited checking, area estimation and node coordinated effort. Broad recreation brings on both associated what’s more, separated systems show that our plans accomplish high disappointment recognition rates (near an upper bound) and low false positive rates, and cause low correspondence overhead. Contrasted with approaches that utilization brought together observing, our approach has up to 80% lower correspondence overhead, and just somewhat bring down discovery rates and marginally higher false positive rates. What’s more, our approach has the preferred standpoint that it is appropriate for both associated and disengaged systems, while unified jacking is just pertinent to associated systems. Contrasted with different methodologies that utilization confined observing, our approach has comparable disappointment recognition rates, up to 57% lower correspondence overhead and much lower false positive rates.
Mobile Wireless Networks, Node Failure, Node Failure Detection, Network Management, Fault Management
- J. Broch, D. A. Maltz, D. B. Johnson, Y.- C. Hu, and J.Jetcheva. A Performance Comparison of Multi-Hop Wireless
Ad hoc Network Routing Protocols. In Proc. of MobiCom,pages 85–97, New York, NY, USA, 1998. ACM.
- T. D. Chandra and S. Toueg. Unreliable Failure Detectors for Reliable Distributed Systems. Journal of the ACM, 43:225–267, 1996.
- I. Constandache, R. R. Choudhury, and I. Rhee. Towards Mobile Phone Localization without War- Driving. In Proc. of
IEEE INFOCOM, March 2010.
- K. Dantu, M. H. Rahimi, H. Shah, S. Babel, A. Dhariwal, and G. S. Sukhatme. Robomote: enabling mobility in sensor
networks. In Proc. of IEEE/ACM IPSN, 2005.
- M. Elhadef and A. Boukerche. A Failure Detection Service for Large-Scale Dependable Wireless Ad-Hoc and Sensor
Networks. In International Conference on Avail ability,Reliability and Security, pages 182–189, 2007.
- K. Fall. A delay-tolerant network architecture for challenged internets. In Proc. of ACM SIGCOMM, pages 27–34. ACM, 2003.
- I. Gupta, T. D. Chandra, and G. S. Goldszmidt. On Scalable and Efficient Distributed Failure Detectors. In Proc. of ACM symposium on Principles of distributed computing (PODC),pages 170–179, 2001.
- C.-F. Hsin and M. Liu. A Distributed Monitoring Mechanism for Wireless Sensor Networks. In Proc. of ACM Wi Se, 2002
- L. Hu and D. Evans. Localization for Mobile Sensor Networks.In Proc. of ACM MobiCom, 2004.
- J.-H. Huang, S. Amjad, and S. Mishra. CenWits: a Sensor based Loosely Coupled Search and Rescue System using
Witnesses. In Proc. of ACM
- R. Badonnel, R. State, and O. Festor. Self-configurable fault monitoring in ad-hoc networks. Ad Hoc Networks, 6(3):458–473, May 2008.
- P. Bahl and V. N. Padmanabhan. RADAR: An in-building RF based user location and tracking system. In Proc. of IEEE
- Y. Bar-Shalom, T. Kirubarajan, and X.-R. Li. Estimation with Applications to Tracking and Navigation. John Wiley & Sons, Inc., 2002.
- D. Ben Khedher, R. Glitho, and R. Dssouli. A Novel Overlay Based Failure Detection Architecture for MANET Application in IEEE International Conference on Networks, pages 130– 135, 2007.
- C. Bettstetter. Topology Properties of Ad Hoc Networks with Random Waypoint Mobility. ACM SIGMOBILE Mobile
Computing and Communications Review, 7(3):50–52, 2003.