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Efficient data delivery in dense reader environment of passive sensor network

Wireless Sensor Network (WSN) is a self-organizing network which is mostly employed in industrial scale. In this network, there is random dispersion of nodes in order to sense diverse range of parameters. The main objective of this research paper is to scrutinize the design of Wireless Surface Acous...

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Main Authors: Nawaz, F., Jeoti, V.
Format: Article
Published: Springer 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074760629&doi=10.1007%2fs12652-019-01566-x&partnerID=40&md5=f9e66179046450d536419ec0e44dad73
http://eprints.utp.edu.my/30007/
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spelling my.utp.eprints.300072022-03-25T03:17:59Z Efficient data delivery in dense reader environment of passive sensor network Nawaz, F. Jeoti, V. Wireless Sensor Network (WSN) is a self-organizing network which is mostly employed in industrial scale. In this network, there is random dispersion of nodes in order to sense diverse range of parameters. The main objective of this research paper is to scrutinize the design of Wireless Surface Acoustic Wave (SAW) Sensor Network (WSSN). Passive SAW sensor is a ridged sensor which is best suited to monitor harsh environmental condition. It works in a dense reader environment for stable communication because it has a narrow connectivity radius. In this research paper, the viability analysis has been performed, utilizing WirelessHART (WH) connectivity protocol, by gauging the operation of WSSN with simulator and emulator in aggregation, in order to support the practicality of WSSN. The results have shown that WH can be relied upon and implemented in a Dense Reader Environment (DRE) for commercial applications. The analysis has also showed the efficiency of WH in rugged and harsh environments. However, WH is not built to operate particularly in DRE. Through our study, a distinctive anti-collision algorithm, NFRA-C is proposed, which is in line with protocols of the WSSN and WH. NFRA-C provides noise free connectivity in WSSN as compared to other protocols. A power proficient standard (GREEN protocol) with capabilities of network coding is analyzed for WSSN. GREEN protocol even works in DRE producing high packet transmission percentage because the protocol arrangement is used with the network coding and retransmission request capabilities. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Springer 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074760629&doi=10.1007%2fs12652-019-01566-x&partnerID=40&md5=f9e66179046450d536419ec0e44dad73 Nawaz, F. and Jeoti, V. (2020) Efficient data delivery in dense reader environment of passive sensor network. Journal of Ambient Intelligence and Humanized Computing, 11 (9). pp. 3707-3715. http://eprints.utp.edu.my/30007/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Wireless Sensor Network (WSN) is a self-organizing network which is mostly employed in industrial scale. In this network, there is random dispersion of nodes in order to sense diverse range of parameters. The main objective of this research paper is to scrutinize the design of Wireless Surface Acoustic Wave (SAW) Sensor Network (WSSN). Passive SAW sensor is a ridged sensor which is best suited to monitor harsh environmental condition. It works in a dense reader environment for stable communication because it has a narrow connectivity radius. In this research paper, the viability analysis has been performed, utilizing WirelessHART (WH) connectivity protocol, by gauging the operation of WSSN with simulator and emulator in aggregation, in order to support the practicality of WSSN. The results have shown that WH can be relied upon and implemented in a Dense Reader Environment (DRE) for commercial applications. The analysis has also showed the efficiency of WH in rugged and harsh environments. However, WH is not built to operate particularly in DRE. Through our study, a distinctive anti-collision algorithm, NFRA-C is proposed, which is in line with protocols of the WSSN and WH. NFRA-C provides noise free connectivity in WSSN as compared to other protocols. A power proficient standard (GREEN protocol) with capabilities of network coding is analyzed for WSSN. GREEN protocol even works in DRE producing high packet transmission percentage because the protocol arrangement is used with the network coding and retransmission request capabilities. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
format Article
author Nawaz, F.
Jeoti, V.
spellingShingle Nawaz, F.
Jeoti, V.
Efficient data delivery in dense reader environment of passive sensor network
author_facet Nawaz, F.
Jeoti, V.
author_sort Nawaz, F.
title Efficient data delivery in dense reader environment of passive sensor network
title_short Efficient data delivery in dense reader environment of passive sensor network
title_full Efficient data delivery in dense reader environment of passive sensor network
title_fullStr Efficient data delivery in dense reader environment of passive sensor network
title_full_unstemmed Efficient data delivery in dense reader environment of passive sensor network
title_sort efficient data delivery in dense reader environment of passive sensor network
publisher Springer
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074760629&doi=10.1007%2fs12652-019-01566-x&partnerID=40&md5=f9e66179046450d536419ec0e44dad73
http://eprints.utp.edu.my/30007/
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score 13.211869

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