A Probabilistic Approach for Detecting Node Failures in Mobile Wireless Networks
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : Nisha G, Dr. M. Victor Jose., M.E., Ph.D.,|
|DOI : 10.14445/22312803/IJCTT-V61P106|
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.
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.
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Wireless Networks, Binary Feedback, failure detection, Non-Binary Feedback.