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Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…But in dense IoT applications, much more than two tags can constitute a collision slot. …”
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A new hybrid online and offline multi-factor cross-domain authentication method for IoT applications in the automotive industry
Published 2021“…The proposed scheme uses the AES-ECC algorithm to provide secure communication and efficient key management. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…Unmanned Aerial Vehicles (UAVs) have a lot of potential for developing new applications in a variety of fields, such as traffic monitoring, security, and military applications. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…The base-work paper of the research presents an improvement of DRAND algorithm based on energy consumption in IoT WSN to enhance the node energy consumption and iv increase the network lifetime. …”
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Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Published 2025“…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications
Published 2019“…In the applications of the Internet of Things (IoT), sensor board depends on a battery that has a limited lifetime to function. …”
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Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…In addition, new technologies such as the Internet of Things (IoT), Autonomous Vehicles (AV), 5G, and Augmented Reality (AR) bring new demands and opportunities that MEC can make possible. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
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Smart and energy aware routing for the internet of mobile things
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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN
Published 2022“…Unmanned aerial vehicles (UAV) have enormous potential in enabling new applications in various areas, ranging from communication, military, security, to traffic-monitoring applications. …”
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An efficient secure ECG compression based on 2D-SPIHT and SIT algorithm
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Fault tolerance structures in Wireless Sensor Networks (WSNs): survey, classification, and future directions
Published 2022“…The emergence of analytics and the depth of harnessing it has led to the development of new fault-tolerant structures and strategies based on artificial intelligence and cloud-based. …”
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Reliable low power network protocol in IoT for agriculture field
Published 2024“…An Internet of Things (IoT) sensor network consists of sensor nodes which sample and send data to the base station. …”
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Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT)
Published 2021“…The findings empirically support the validation of the Q-Learning model improvement for high-volume IoT resource discovery cases. The study will contribute to the new model development by providing new insights on the conceptualization and validation of knowledge-based methodology based on widely accepted techniques and approaches.…”
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Intersection Features For Android Botnet Classification
Published 2019“…Many of IoT devices will be supposedly controlled through a mobile, giving application (apps) developers great opportunities in the development of new applications. …”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Subsequently, four distinct algorithms are trained with the collected dataset to ascertain the most optimal algorithm for predicting crop growth and harvesting time, resulting in the selection of the Random Forest Regression model, which attains the highest model score of 86%. …”
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