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Reliable cost-optimal deployment of wireless sensor networks

Wireless Sensor Networks (WSNs) technology is currently considered one of the key technologies for realizing the Internet of Things (IoT). Many of the important WSNs applications are critical in nature such that the failure of the WSN to carry out its required tasks can have serious detrimental effe...

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Main Author: DeifAllah, Dina Salah
Format: Thesis
Published: AUC Knowledge Fountain 2017
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access_status_str Open Access
author DeifAllah, Dina Salah
author_browse DeifAllah, Dina Salah
author_facet DeifAllah, Dina Salah
author_sort DeifAllah, Dina Salah
collection Thesis
dc_rights_str_mv The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.
description Wireless Sensor Networks (WSNs) technology is currently considered one of the key technologies for realizing the Internet of Things (IoT). Many of the important WSNs applications are critical in nature such that the failure of the WSN to carry out its required tasks can have serious detrimental effects. Consequently, guaranteeing that the WSN functions satisfactorily during its intended mission time, i.e. the WSN is reliable, is one of the fundamental requirements of the network deployment strategy. Achieving this requirement at a minimum deployment cost is particularly important for critical applications in which deployed SNs are equipped with expensive hardware. However, WSN reliability, defined in the traditional sense, especially in conjunction with minimizing the deployment cost, has not been considered as a deployment requirement in existing WSN deployment algorithms to the best of our knowledge. Addressing this major limitation is the central focus of this dissertation. We define the reliable cost-optimal WSN deployment as the one that has minimum deployment cost with a reliability level that meets or exceeds a minimum level specified by the targeted application. We coin the problem of finding such deployments, for a given set of application-specific parameters, the Minimum-Cost Reliability-Constrained Sensor Node Deployment Problem (MCRC-SDP). To accomplish the aim of the dissertation, we propose a novel WSN reliability metric which adopts a more accurate SN model than the model used in the existing metrics. The proposed reliability metric is used to formulate the MCRC-SDP as a constrained combinatorial optimization problem which we prove to be NP-Complete. Two heuristic WSN deployment optimization algorithms are then developed to find high quality solutions for the MCRC-SDP. Finally, we investigate the practical realization of the techniques that we developed as solutions of the MCRC-SDP. For this purpose, we discuss why existing WSN Topology Control Protocols (TCPs) are not suitable for managing such reliable cost-optimal deployments. Accordingly, we propose a practical TCP that is suitable for managing the sleep/active cycles of the redundant SNs in such deployments. Experimental results suggest that the proposed TCP's overhead and network Time To Repair (TTR) are relatively low which demonstrates the applicability of our proposed deployment solution in practice.
format Thesis
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institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:38.861Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2017
publishDateRange 2017
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spelling oai:fount.aucegypt.edu:etds-1002 Reliable cost-optimal deployment of wireless sensor networks DeifAllah, Dina Salah Wireless Sensor Networks (WSNs) technology is currently considered one of the key technologies for realizing the Internet of Things (IoT). Many of the important WSNs applications are critical in nature such that the failure of the WSN to carry out its required tasks can have serious detrimental effects. Consequently, guaranteeing that the WSN functions satisfactorily during its intended mission time, i.e. the WSN is reliable, is one of the fundamental requirements of the network deployment strategy. Achieving this requirement at a minimum deployment cost is particularly important for critical applications in which deployed SNs are equipped with expensive hardware. However, WSN reliability, defined in the traditional sense, especially in conjunction with minimizing the deployment cost, has not been considered as a deployment requirement in existing WSN deployment algorithms to the best of our knowledge. Addressing this major limitation is the central focus of this dissertation. We define the reliable cost-optimal WSN deployment as the one that has minimum deployment cost with a reliability level that meets or exceeds a minimum level specified by the targeted application. We coin the problem of finding such deployments, for a given set of application-specific parameters, the Minimum-Cost Reliability-Constrained Sensor Node Deployment Problem (MCRC-SDP). To accomplish the aim of the dissertation, we propose a novel WSN reliability metric which adopts a more accurate SN model than the model used in the existing metrics. The proposed reliability metric is used to formulate the MCRC-SDP as a constrained combinatorial optimization problem which we prove to be NP-Complete. Two heuristic WSN deployment optimization algorithms are then developed to find high quality solutions for the MCRC-SDP. Finally, we investigate the practical realization of the techniques that we developed as solutions of the MCRC-SDP. For this purpose, we discuss why existing WSN Topology Control Protocols (TCPs) are not suitable for managing such reliable cost-optimal deployments. Accordingly, we propose a practical TCP that is suitable for managing the sleep/active cycles of the redundant SNs in such deployments. Experimental results suggest that the proposed TCP's overhead and network Time To Repair (TTR) are relatively low which demonstrates the applicability of our proposed deployment solution in practice. 2017-06-01T07:00:00Z dissertation application/pdf https://fount.aucegypt.edu/etds/3 https://fount.aucegypt.edu/context/etds/article/1002/viewcontent/Thesis_final_submission.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain Wireless Sensor Networks Deployment
spellingShingle Wireless Sensor Networks
Deployment
DeifAllah, Dina Salah
Reliable cost-optimal deployment of wireless sensor networks
title Reliable cost-optimal deployment of wireless sensor networks
title_full Reliable cost-optimal deployment of wireless sensor networks
title_fullStr Reliable cost-optimal deployment of wireless sensor networks
title_full_unstemmed Reliable cost-optimal deployment of wireless sensor networks
title_short Reliable cost-optimal deployment of wireless sensor networks
title_sort reliable cost optimal deployment of wireless sensor networks
topic Wireless Sensor Networks
Deployment
url https://fount.aucegypt.edu/etds/3
https://fount.aucegypt.edu/context/etds/article/1002/viewcontent/Thesis_final_submission.pdf
work_keys_str_mv AT deifallahdinasalah reliablecostoptimaldeploymentofwirelesssensornetworks