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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. In order to support fine-grained diagnostic analysis and optimize the performance level of the networks, the reconstruction of per-packet routing path is essentia...

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Main Author: Abd, Wamidh Jwdat
Format: Thesis
Language:English
Published: 2019
Subjects:
Wireless sensor networks
Online Access:http://psasir.upm.edu.my/id/eprint/83806/1/FSKTM%202019%209%20-%20IR.pdf
http://psasir.upm.edu.my/id/eprint/83806/
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spelling my.upm.eprints.838062020-10-21T01:30:20Z http://psasir.upm.edu.my/id/eprint/83806/ SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing Abd, Wamidh Jwdat Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. In order to support fine-grained diagnostic analysis and optimize the performance level of the networks, the reconstruction of per-packet routing path is essential. However, in large-scale networks, the performance levels of the current path reconstruction method decline rapidly, with loss of links. An efficient approach to fully comprehend the complex internal behavior of network is through the reconstruction of the routing path of each received packet at the sink side. One of the most significant study in the field has been conducted on iPath, although the energy efficiency was absent in the study. Thus, the current study proposes SecPath, an energy efficient inference method that enables the reconstruction of the per-packet routing paths of large-scale networks, by providing a stable and efficient route to exchange messages between source and destination in a timely manner. This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. SecPath is evaluated with several variations using 400 nodes in WSN deployments as well as large-scale simulations. The findings have demonstrated that SecPath surpassed other current approaches such as EEPMM. SecPath has accomplished low transmission overhead which it has reduced 13% of the energy consumption. Besides on the reimplementation also has gained significant reconstruction ratio compared with iPath. 2019 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/83806/1/FSKTM%202019%209%20-%20IR.pdf Abd, Wamidh Jwdat (2019) SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing. Masters thesis, Universiti Putra Malaysia. Wireless sensor networks
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Wireless sensor networks
spellingShingle Wireless sensor networks
Abd, Wamidh Jwdat
SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
description Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. In order to support fine-grained diagnostic analysis and optimize the performance level of the networks, the reconstruction of per-packet routing path is essential. However, in large-scale networks, the performance levels of the current path reconstruction method decline rapidly, with loss of links. An efficient approach to fully comprehend the complex internal behavior of network is through the reconstruction of the routing path of each received packet at the sink side. One of the most significant study in the field has been conducted on iPath, although the energy efficiency was absent in the study. Thus, the current study proposes SecPath, an energy efficient inference method that enables the reconstruction of the per-packet routing paths of large-scale networks, by providing a stable and efficient route to exchange messages between source and destination in a timely manner. This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. SecPath is evaluated with several variations using 400 nodes in WSN deployments as well as large-scale simulations. The findings have demonstrated that SecPath surpassed other current approaches such as EEPMM. SecPath has accomplished low transmission overhead which it has reduced 13% of the energy consumption. Besides on the reimplementation also has gained significant reconstruction ratio compared with iPath.
format Thesis
author Abd, Wamidh Jwdat
author_facet Abd, Wamidh Jwdat
author_sort Abd, Wamidh Jwdat
title SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
title_short SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
title_full SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
title_fullStr SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
title_full_unstemmed SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
title_sort secpath: energy efficient path reconstruction in wireless sensor network using iterative smoothing
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/83806/1/FSKTM%202019%209%20-%20IR.pdf
http://psasir.upm.edu.my/id/eprint/83806/
_version_ 1681490882167046144
score 13.211869

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