Browsing HiØ Brage by Author "Shahraki, Amin"
Now showing items 1-8 of 8
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An outlier detection method to improve gathered datasets for network behavior analysis in IoT
Shahraki, Amin; Haugen, Øystein (Journal article; Peer reviewed, 2019)Outlier detection is a subfield of data mining to determine data points that notably deviate from the rest of a dataset. Their deviation can indicate that these data points are generated by errors and should therefore be ... -
Clustering objectives in wireless sensor networks: A survey and research direction analysis
Shahraki, Amin; Taherkordi, Amirhosein; Haugen, Øystein; Eliassen, Frank (Peer reviewed; Journal article, 2020)Wireless Sensor Networks (WSNs) typically include thousands of resource-constrained sensors to monitor their surroundings, collect data, and transfer it to remote servers for further processing. Although WSNs are considered ... -
A comparative node evaluation model for highly heterogeneous massive‐scale Internet of Things‐Mist networks
Shahraki, Amin; Geitle, Marius; Haugen, Øystein (Peer reviewed; Journal article, 2020-03-09)Internet of Things (IoT) is a new technology that is driving the connection of billions of devices around the world. Because these devices are often resource‐constrained and very heterogeneous, this presents unique challenges. ... -
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
Abbasi, Mahmoud; Shahraki, Amin; Taherkordi, Amirhosein (Peer reviewed; Journal article, 2021)Modern communication systems and networks, e.g., Internet of Things (IoT) and cellular networks, generate a massive and heterogeneous amount of traffic data. In such networks, the traditional network management techniques ... -
From statistical- to machine learning-based network traffic prediction
Lohrasbinasab, Iraj; Shahraki, Amin; Taherkordi, Amirhosein; Delia Jurcut, Anca (Peer reviewed; Journal article, 2021)Nowadays, due to the exponential and continuous expansion of new paradigms such as Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a tremendous and sharp increase of network traffic. ... -
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms
Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein; Eliassen, Frank (Peer reviewed; Journal article, 2021)Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over networks that support device-to-device (D2D) ... -
Synchronization Techniques in "Device to Device- and Vehicular to Vehicular-enabled" Cellular Networks: A survey
Abbasi, Mahmoud; Shahraki, Amin; Barzegar, Hamid R.; Pahl, Claus (Peer reviewed; Journal article, 2021)Device-to-Device (D2D) communication is introduced for cellular networks allowing User Equipments (UEs) to communicate directly in close physical proximity. In traditional cellular networks, time synchronization is performed ... -
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks
Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein (Peer reviewed; Journal article, 2021)Internet of Things (IoT) refers to a system of interconnected heterogeneous smart devices communicatingwithout human intervention. A significant portion of existing IoT networks is under the umbrella of ad-hoc andquasi ...