Browsing Institutt for informatikk by Author "Taherkordi, Amirhosein"

Now showing items 1-10 of 10

  • A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms 
    Shahraki, Amin; Taherkordi, Amirhosein; Haugen, Øystein; Eliassen, Frank (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    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) ...
  • Ataraxis: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection 
    Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
    Accurately detecting the mobile contexts, in which public transport vehicles and their passengers operate, is key for future intelligent context-aware services in transportation systems. A prominent example is in-vehicle ...
  • Automated Product Localization through Mobile Data Analysis 
    Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Recent developments in the field of indoor RealTime Locating Systems (RTLS) using mobile devices stimulate decision support for users. For instance, smartphone-based navigation in shops can enable location-aware recommendations ...
  • Clustering objectives in wireless sensor networks: A survey and research direction analysis 
    Shahraki, Amin; Taherkordi, Amirhosein; Haugen, Øystein; Eliassen, Frank (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 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 ...
  • Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey 
    Abbasi, Mahmoud; Shahraki, Amin; Taherkordi, Amirhosein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 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 (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 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. ...
  • Latency Analysis of Wireless Networks for Proximity Services in Smart Home and Building Automation: The Case of Thread 
    Lan, Dapeng; Pang, Zhibo; Fischione, Carlo; Liu, Yu; Taherkordi, Amirhosein; Eliassen, Frank (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Proximity service (ProSe), using the geographic location and device information by considering the proximity of mobile devices, enriches the services we use to interact with people and things around us. ProSe has been used ...
  • Programming Wireless Sensor Networks: From Static to Adaptive Models 
    Taherkordi, Amirhosein (Doctoral thesis / Doktoravhandling, 2011)
    Wireless Sensor Networks (WSNs) are a rapidly emerging research area because of their vast application vistas in real-world environments, as well as their rapid deployments at low cost and with high flexibility. In 2003, ...
  • A Self-Adaptive Network for HPC Clouds: Architecture, Framework, and Implementation 
    Zahid, Feroz; Taherkordi, Amirhosein; Gran, Ernst Gunnar; Skeie, Tor; Johnsen, Bjørn Dag (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
    Clouds offer flexible and economically attractive compute and storage solutions for enterprises. However, the effectiveness of cloud computing for high-performance computing (HPC) systems still remains questionable. When ...
  • TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks 
    Shahraki, Amin; Taherkordi, Amirhosein; Haugen, Øystein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Internet of Things (IoT) refers to a system of interconnected heterogeneous smart devices communicating without human intervention. A significant portion of existing IoT networks is under the umbrella of ad-hoc and quasi ...