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Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems

V.Buma L.Jayasimman1 , V.Upendran 2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 222-226, Mar-2018

Online published on Mar 31, 2018

Copyright © V.Buma L.Jayasimman, V.Upendran . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: V.Buma L.Jayasimman, V.Upendran, “Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.222-226, 2018.

MLA Style Citation: V.Buma L.Jayasimman, V.Upendran "Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems." International Journal of Computer Sciences and Engineering 06.02 (2018): 222-226.

APA Style Citation: V.Buma L.Jayasimman, V.Upendran, (2018). Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems. International Journal of Computer Sciences and Engineering, 06(02), 222-226.

BibTex Style Citation:
@article{L.Jayasimman_2018,
author = {V.Buma L.Jayasimman, V.Upendran},
title = {Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {222-226},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=237},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=237
TI - Localization of Portable Network and Adaptive fault discovery methodologies for self-motivated portable Systems
T2 - International Journal of Computer Sciences and Engineering
AU - V.Buma L.Jayasimman, V.Upendran
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 222-226
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

An innovative and probabilistic methodology that thoughtfully combines limited observing, location assessment and node teamwork to detect node failures in mobile wireless networks. Unambiguously, it propose two patterns. In the first pattern, when a node A cannot hear from an adjacent node B, it uses its own information about B and binary response from its neighbors to decide whether B has miscarried or not. In the second pattern, A gathers info from its neighbors, and uses the info jointly to make the choice. The first scheme experiences lower statement overhead than the second pattern. On the other hand, the second scheme fully utilizes information from the neighbors and can achieve better presentation in failure detection and false constructive rates and incur low announcement overhead. This work overwhelms these inadequacies and presents a Least-Disruptive topology Repair(LeDiR) algorithm. LeDiR depend on the confined view of a node about the system to devise a recovery plan that repositions the least number of nodes and precautions that no path amongst any pair of nodes is extended. LeDiR is a localized and disseminated algorithm that influences existing route detection activities in the network and imposes no additional prefigure announcement overhead. The presentation of LeDiR is analyzed exactly and validated via extensive simulated experimentations.

Key-Words / Index Term

Mobile Wireless Networks, Node Failure, Node Failure Detection, Network Management, Fault Management

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