A Mathematical Programming Approach for IoT-Enabled, Energy-Efficient Heterogeneous Wireless Sensor Network Design and Implementation

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dc.authoridKabakulak, Banu/0000-0001-8613-3266|Taparci, Ertugrul/0009-0005-4135-7713
dc.contributor.authorTaparci, Ertugrul
dc.contributor.authorOlcay, Kardelen
dc.contributor.authorAkmandor, Melike Ozlem
dc.contributor.authorKabakulak, Banu
dc.contributor.authorSarioglu, Baykal
dc.contributor.authorGokdel, Yigit Daghan
dc.date.accessioned2024-07-18T20:50:42Z
dc.date.available2024-07-18T20:50:42Z
dc.date.issued2024
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThe Internet of Things (IoT) is playing a pivotal role in transforming various industries, and Wireless Sensor Networks (WSNs) are emerging as the key drivers of this innovation. This research explores the utilization of a heterogeneous network model to optimize the deployment of sensors in agricultural settings. The primary objective is to strategically position sensor nodes for efficient energy consumption, prolonged network lifetime, and dependable data transmission. The proposed strategy incorporates an offline model for placing sensor nodes within the target region, taking into account the coverage requirements and network connectivity. We propose a two-stage centralized control model that ensures cohesive decision making, grouping sensor nodes into protective boxes. This grouping facilitates shared resource utilization, including batteries and bandwidth, while minimizing box number for cost-effectiveness. Noteworthy contributions of this research encompass addressing connectivity and coverage challenges through an offline deployment model in the first stage, and resolving real-time adaptability concerns using an online energy optimization model in the second stage. Emphasis is placed on the energy efficiency, achieved through the sensor consolidation within boxes, minimizing data transmission hops, and considering energy expenditures in sensing, transmitting, and active/sleep modes. Our simulations on an agricultural farmland highlights its practicality, particularly focusing on the sensor placement for measuring soil temperature and humidity. Hardware tests validate the proposed model, incorporating parameters from the real-world implementation to enhance calculation accuracy. This study provides not only theoretical insights but also extends its relevance to smart farming practices, illustrating the potential of WSNs in revolutionizing sustainable agriculture.en_US
dc.identifier.doi10.3390/s24051457
dc.identifier.issn1424-8220
dc.identifier.issue5en_US
dc.identifier.pmid38474993en_US
dc.identifier.scopus2-s2.0-85187444512en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/s24051457
dc.identifier.urihttps://hdl.handle.net/11411/8182
dc.identifier.volume24en_US
dc.identifier.wosWOS:001182921100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSensorsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectİnternet Of Thingsen_US
dc.subjectWireless Sensor Networken_US
dc.subjectNarrow-Band Communicationen_US
dc.subjectEnergy Efficiencyen_US
dc.subjectMathematical Programmingen_US
dc.subjectOptimizationen_US
dc.subjectData Loss Avoidanceen_US
dc.subjectSmart Farmingen_US
dc.subjectRouting Algorithmsen_US
dc.titleA Mathematical Programming Approach for IoT-Enabled, Energy-Efficient Heterogeneous Wireless Sensor Network Design and Implementationen_US
dc.typeArticleen_US

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