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Novel Path Inference in Large Scale Wireless Networks Using Sensors

Katta Sindhu Chowdary1 , Sarika Nyaramneni2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 532-539, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.532539

Online published on Feb 28, 2019

Copyright © Katta Sindhu Chowdary, Sarika Nyaramneni . 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: Katta Sindhu Chowdary, Sarika Nyaramneni, “Novel Path Inference in Large Scale Wireless Networks Using Sensors,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.532-539, 2019.

MLA Style Citation: Katta Sindhu Chowdary, Sarika Nyaramneni "Novel Path Inference in Large Scale Wireless Networks Using Sensors." International Journal of Computer Sciences and Engineering 7.2 (2019): 532-539.

APA Style Citation: Katta Sindhu Chowdary, Sarika Nyaramneni, (2019). Novel Path Inference in Large Scale Wireless Networks Using Sensors. International Journal of Computer Sciences and Engineering, 7(2), 532-539.

BibTex Style Citation:
@article{Chowdary_2019,
author = {Katta Sindhu Chowdary, Sarika Nyaramneni},
title = {Novel Path Inference in Large Scale Wireless Networks Using Sensors},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {532-539},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3700},
doi = {https://doi.org/10.26438/ijcse/v7i2.532539}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.532539}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3700
TI - Novel Path Inference in Large Scale Wireless Networks Using Sensors
T2 - International Journal of Computer Sciences and Engineering
AU - Katta Sindhu Chowdary, Sarika Nyaramneni
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 532-539
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Recent wireless sensor networks (WSNs) are getting progressively advanced with developing network scale and therefore dynamic nature of wireless communications. Several diagnostic approaches depend upon per-packet routing ways for correct and fine-grained analysis of the advanced network behaviors. Here we analyzed various path inference approaches to reconstruct routing paths. Based on the earlier contribution and recent studies, iPath provides an efficient and optimal routing path and iPath achieves much higher reconstruction ratios under different network settings compared to other state of the art approaches. The main theme of ipath is to construct a long path from the known short paths. This Process starts with primary paths and then conducts path inference repeatedly.

Key-Words / Index Term

Estimation, way recreation, Wireless sensor systems

References

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