Researcher:
Bin Qaim, Waleed

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PhD Student

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Waleed

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Bin Qaim

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Bin Qaim, Waleed

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2018 - 20193

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Researcher Of Publications: search.filters.isAuthorOfPublication.7345f8d7-96a5-4196-8fa9-9b0f9fe83ba8

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    State-of-the-art data replication techniques in ıot-based sensor systems
    (IEEE, 2018) N/A; Department of Computer Engineering; Bin Qaim, Waleed; Özkasap, Öznur; PhD Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 113507
    internet of Things (IoT) is an emerging technology aimed at bridging the gap between physical and digital worlds. IoT envisions to provide a seamless and efficient way of interacting with real-world physical objects through the internet which highly impacts modern day life. Wireless Sensor Networks (WSNs) are primarily responsible for turning physical objects into communicating entities that can be remotely accessed and controlled, thus, providing the basis for smart solutions to all the human needs. To realize the concept of IoT, efficient data generation, collection, and presentation through WSNs are crucial issues. However, WSNs face numerous challenges mainly because of the resource-constrained and unreliable nature of nodes which may result in loss of valuable sensed data. Data replication is a promising solution to facilitate efficient data management in IoT-based sensor systems. This paper presents a survey of state-of-the-art data replication protocols for IoT-based sensor systems. To the best of our knowledge, our study is the first one that presents a detailed analysis and comparison of the existing solutions by classifying them into sub-categories of data retrieval, query balancing, system robustness, and data availability. We conclude by highlighting potential future research directions.
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    State-of-the-art data replication techniques in IoT-based sensor systems
    (Institute of Electrical and Electronics Engineers Inc., 2019) Department of Computer Engineering; N/A; Özkasap, Öznur; Bin Qaim, Waleed; Faculty Member; PhD Student; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; 113507; N/A
    Internet of Things (IoT) is an emerging technology aimed at bridging the gap between physical and digital worlds. IoT envisions to provide a seamless and efficient way of interacting with real-world physical objects through the Internet which highly impacts modern day life. Wireless Sensor Networks (WSNs) are primarily responsible for turning physical objects into communicating entities that can be remotely accessed and controlled, thus, providing the basis for smart solutions to all the human needs. To realize the concept of IoT, efficient data generation, collection, and presentation through WSNs are crucial issues. However, WSNs face numerous challenges mainly because of the resource-constrained and unreliable nature of nodes which may result in loss of valuable sensed data. Data replication is a promising solution to facilitate efficient data management in IoT-based sensor systems. This paper presents a survey of state-of-the-art data replication protocols for IoT-based sensor systems. To the best of our knowledge, our study is the first one that presents a detailed analysis and comparison of the existing solutions by classifying them into sub-categories of data retrieval, query balancing, system robustness, and data availability. We conclude by highlighting potential future research directions.
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    DRAW: data replication for enhanced data availability in IoT-based sensor systems
    (IEEE, 2018) N/A; Department of Computer Engineering; Bin Qaim, Waleed; Özkasap, Öznur; PhD Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 113507
    internet of Things (IoT) technology is gaining increasing popularity with the ubiquity of the internet. It has the potential to connect real-world physical objects to the internet to make them readily accessible to users by deploying Wireless Sensor Networks (WSNs). However, WSNs face various challenges due to the nature of deployment and limited resources of sensor nodes. WSNs may also suffer from node failures as well as local memory shortages which result in significant amount of data loss. Data replication is a promising technique to preserve valuable sensed data in the network. in this paper, we propose DRaW, A fully distributed hop-by-hop data replication technique for IoT-based wireless sensor systems. DRaW ensures maximum data availability under high node failures to preserve data. Our extensive simulation results show that compared to a state-of-the-art technique, DRaW improves data availability and average replicas created in the network with a maximum gain of about 15% and 18%, respectively. Furthermore, DRaW provides a better replica spread which determines the quality of data dissemination in the network.