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dc.contributor.authorHammoudeh, Mohammad
dc.contributor.authorAl-Fayez, Fayez
dc.contributor.authorLloyd, Huw
dc.contributor.authorNewman, Robert
dc.contributor.authorAdebisi, Bamidele
dc.contributor.authorBounceur, Ahcène
dc.contributor.authorAbuarqoub, Abdelrahman
dc.date.accessioned2018-06-01T13:27:05Z
dc.date.available2018-06-01T13:27:05Z
dc.date.issued2017-02-20
dc.identifier.citationMohammad, H., Fayez, A., Huw, L., Newman, RD., Bamidele, A. (2017) 'A Wireless Sensor Network Border Monitoring System', IEEE Sensors Journal 17(8) pp. 2572 - 2582 doi: 10.1109/JSEN.2017.2672501
dc.identifier.issn1530-437X
dc.identifier.doi10.1109/JSEN.2017.2672501
dc.identifier.urihttp://hdl.handle.net/2436/621324
dc.description.abstractExternal border surveillance is critical to the security of every state and the challenges it poses are changing and likely to intensify. Wireless sensor networks (WSN) are a low cost technology that provide an intelligence-led solution to effective continuous monitoring of large, busy, and complex landscapes. The linear network topology resulting from the structure of the monitored area raises challenges that have not been adequately addressed in the literature to date. In this paper, we identify an appropriate metric to measure the quality of WSN border crossing detection. Furthermore, we propose a method to calculate the required number of sensor nodes to deploy in order to achieve a specified level of coverage according to the chosen metric in a given belt region, while maintaining radio connectivity within the network. Then, we contribute a novel cross layer routing protocol, called levels division graph (LDG), designed specifically to address the communication needs and link reliability for topologically linear WSN applications. The performance of the proposed protocol is extensively evaluated in simulations using realistic conditions and parameters. LDG simulation results show significant performance gains when compared with its best rival in the literature, dynamic source routing (DSR). Compared with DSR, LDG improves the average end-to-end delays by up to 95%, packet delivery ratio by up to 20%, and throughput by up to 60%, while maintaining comparable performance in terms of normalized routing load and energy consumption.
dc.formatPDF
dc.language.isoen
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/7859300
dc.titleA wireless sensor network border monitoring system: Deployment issues and routing protocols
dc.typeJournal article
dc.identifier.journalIEEE Sensors Journal
dc.contributor.institutionUniversity of Wolverhampton, Manchester Metropolitan University
dc.date.accepted2017-02-15
rioxxterms.funderUniversity of Wolverhampton
rioxxterms.versionAM
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
rioxxterms.licenseref.startdate2018-06-01
dc.source.volume17
dc.source.issue8
dc.source.beginpage2572
dc.source.endpage2582
refterms.dateFCD2018-10-19T09:26:31Z
refterms.versionFCDAM
refterms.dateFOA2018-08-20T13:32:40Z
html.description.abstractExternal border surveillance is critical to the security of every state and the challenges it poses are changing and likely to intensify. Wireless sensor networks (WSN) are a low cost technology that provide an intelligence-led solution to effective continuous monitoring of large, busy, and complex landscapes. The linear network topology resulting from the structure of the monitored area raises challenges that have not been adequately addressed in the literature to date. In this paper, we identify an appropriate metric to measure the quality of WSN border crossing detection. Furthermore, we propose a method to calculate the required number of sensor nodes to deploy in order to achieve a specified level of coverage according to the chosen metric in a given belt region, while maintaining radio connectivity within the network. Then, we contribute a novel cross layer routing protocol, called levels division graph (LDG), designed specifically to address the communication needs and link reliability for topologically linear WSN applications. The performance of the proposed protocol is extensively evaluated in simulations using realistic conditions and parameters. LDG simulation results show significant performance gains when compared with its best rival in the literature, dynamic source routing (DSR). Compared with DSR, LDG improves the average end-to-end delays by up to 95%, packet delivery ratio by up to 20%, and throughput by up to 60%, while maintaining comparable performance in terms of normalized routing load and energy consumption.


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