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Amirhosein Taherkordi
Amir Taherkordi
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2020 – today
- 2024
- [j44]Mahdieh Rahnemay, Leili Farzinvash
, Mina Zolfi, Amir Taherkordi:
ECMSH: An Energy-efficient and Cost-effective data harvesting protocol for Mobile Sink-based Heterogeneous WSNs using PSO-TVAC. Ad Hoc Networks 164: 103629 (2024) - [j43]Song Han, Hui Ma, Amir Taherkordi, Dapeng Lan, Yange Chen
Privacy-preserving data integration scheme in industrial robot system based on fog computing and edge computing. IET Commun. 18(7): 461-476 (2024) - [j42]Jia Wu
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks. IEEE Internet Things J. 11(11): 19520-19536 (2024) - [j41]Su Liu
FedAGL: A Communication-Efficient Federated Vehicular Network. IEEE Trans. Intell. Veh. 9(2): 3704-3720 (2024) - [j40]He Huang
Guest Editorial Introduction to the Special Section on Next-Generation Traffic Measurement With Network-Wide Perspective and Artificial Intelligence. IEEE Trans. Netw. Sci. Eng. 11(3): 2332-2337 (2024) - [c58]Peiyuan Guan
Energy-Aware IoT Deployment Planning. CF 2024 - [c57]Mahsa Motevallian, AM Esfar-E-Alam, Amir Taherkordi, Golnoush Abbasi:
Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems. DCOSS-IoT 2024: 677-684 - [c56]Milad Rafiee, Amir Taherkordi, Özgü Alay:
Cross Network Layer Cognitive Service Orchestration in Edge Computing Systems. EDGE 2024: 12-21 - [c55]Mahdieh Kamalian, Amir Taherkordi, Paulo Ferreira:
TeLeGaIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection. FMEC 2024: 196-203 - [c54]Mahdieh Kamalian, Amir Taherkordi, Amir H. Payberah, Paulo Ferreira:
FogFLeeT: Fog-Level Federated Transfer Learning for Adaptive Transport Mode Detection. IC2E 2024: 22-33 - [c53]Emad Hammami, Peiyuan Guan, Amir Taherkordi, Amin Shahraki, Dapeng Lan:
AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems. ICFEC 2024: 1-10 - [i5]Peiyuan Guan, Chen Chen, Ziru Chen, Lin X. Cai, Xing Hao, Amir Taherkordi:
Context-aware Container Orchestration in Serverless Edge Computing. CoRR abs/2408.07536 (2024) - [i4]Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng Lan:
Variational autoencoder-based neural network model compression. CoRR abs/2408.14513 (2024) - 2023
- [j39]Mohammad-Salar Shahryari
High-throughput and energy-efficient data gathering in heterogeneous multi-channel wireless sensor networks using genetic algorithm. Ad Hoc Networks 139: 103041 (2023) - [j38]Su Liu
FedSSC: Joint client selection and resource management for communication-efficient federated vehicular networks. Comput. Networks 237: 110100 (2023) - [j37]Takahito Yoshizawa, Dave Singelée, Jan Tobias Mühlberg
A Survey of Security and Privacy Issues in V2X Communication Systems. ACM Comput. Surv. 55(9): 185:1-185:36 (2023) - [j36]Majid Sepahvand
An adaptive teacher-student learning algorithm with decomposed knowledge distillation for on-edge intelligence. Eng. Appl. Artif. Intell. 117(Part): 105560 (2023) - [j35]Kan Wang
Reinforcement learning-based cost-efficient service function chaining with CoMP zero-forcing beamforming in edge networks. Future Gener. Comput. Syst. 141: 355-368 (2023) - [j34]Zhaohui Wei
Lightweight Federated Learning for Large-Scale IoT Devices With Privacy Guarantee. IEEE Internet Things J. 10(4): 3179-3191 (2023) - [j33]Chunhai Li, Qiyong Chen, Mingfeng Chen, Zhaoyu Su, Yong Ding, Dapeng Lan, Amir Taherkordi:
Blockchain enabled task offloading based on edge cooperation in the digital twin vehicular edge network. J. Cloud Comput. 12(1): 120 (2023) - [j32]Lei Liu
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks. IEEE Trans. Intell. Transp. Syst. 24(2): 2169-2182 (2023) - [j31]Xiaoming Yuan
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 24(8): 8738-8748 (2023) - [j30]Liqing Liu
Multi-User Dynamic Computation Offloading and Resource Allocation in 5G MEC Heterogeneous Networks With Static and Dynamic Subchannels. IEEE Trans. Veh. Technol. 72(11): 14924-14938 (2023) - [j29]Liqing Liu
Joint Computation Offloading and Data Caching in Multi-Access Edge Computing Enabled Internet of Vehicles. IEEE Trans. Veh. Technol. 72(11): 14939-14954 (2023) - [c52]Peini Liu, Jordi Guitart, Amir Taherkordi:
Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. CLOUD 2023: 330-340 - [c51]Édouard Guégain
Configuration Optimization with Limited Functional Impact. CAiSE 2023: 53-68 - [c50]Peiyuan Guan
A Prediction Based Resource Reservation Algorithm for Service Handover in Edge Computing. CSCloud/EdgeCom 2023: 330-335 - [c49]Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu, Xiaoming Yuan:
Joint Optimization of Service Migration and Resource Management for Vehicular Edge Computing. DCOSS-IoT 2023: 155-160 - [c48]Édouard Guégain
ICO: A Platform for Optimizing Highly Configurable Systems. ASEW 2023: 62-67 - [c47]Indranil Sarkar, Amir Taherkordi:
Enhancing Task Efficiency in Vehicular Fog Computing: Leveraging Mobility Prediction and Min-Max Optimization for Reduced Latency. VTC Fall 2023: 1-7 - 2022
- [j28]Amin Shahraki
A comparative study on online machine learning techniques for network traffic streams analysis. Comput. Networks 207: 108836 (2022) - [j27]Majid Sepahvand
Teacher-student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications. Expert Syst. Appl. 202: 117474 (2022) - [j26]Iraj Lohrasbinasab
From statistical- to machine learning-based network traffic prediction. Trans. Emerg. Telecommun. Technol. 33(4) (2022) - [j25]Dapeng Lan
Task Partitioning and Orchestration on Heterogeneous Edge Platforms: The Case of Vision Applications. IEEE Internet Things J. 9(10): 7418-7432 (2022) - [j24]Magnus Karsten Oplenskedal, Peter Herrmann, Amir Taherkordi:
DeepMatch2: A comprehensive deep learning-based approach for in-vehicle presence detection. Inf. Syst. 108: 101927 (2022) - [j23]Sun Mao
Energy-Efficient Cooperative Communication and Computation for Wireless Powered Mobile-Edge Computing. IEEE Syst. J. 16(1): 287-298 (2022) - [j22]Yongpeng Shi
Energy-Aware Relay Optimization and Power Allocation in Multiple Unmanned Aerial Vehicles Aided Satellite-Aerial-Terrestrial Networks. IEEE Syst. J. 16(4): 5293-5304 (2022) - [j21]Amin Shahraki
Active Learning for Network Traffic Classification: A Technical Study. IEEE Trans. Cogn. Commun. Netw. 8(1): 422-439 (2022) - [j20]Min Zhang
Demand-Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 19-31 (2022) - [j19]Tingting Yang, Jiahong Ning
Kubeedge Wireless for Integrated Communication and Computing Services Everywhere. IEEE Wirel. Commun. 29(2): 140-145 (2022) - [c46]Mahmoud Abbasi, Amir Taherkordi, Amin Shahraki:
FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification. SMARTCOMP 2022: 206-212 - [i3]Takahito Yoshizawa, Dave Singelée, Jan Tobias Mühlberg, Stéphane Delbruel, Amir Taherkordi, Danny Hughes, Bart Preneel:
A Survey of Security and Privacy Issues in V2X Communication Systems. CoRR abs/2208.14674 (2022) - 2021
- [j18]Amin Shahraki
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks. Comput. Networks 194: 108125 (2021) - [j17]Mahmoud Abbasi
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey. Comput. Commun. 170: 19-41 (2021) - [j16]Mahmoud Abbasi, Amin Shahraki
Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey. Eng. Appl. Artif. Intell. 102: 104234 (2021) - [j15]Xiaoming Yuan
MDMH: An improved multi-attribute decision-making and highest response ratio next-based computation offloading approach for wireless body area networks. Trans. Emerg. Telecommun. Technol. 32(6) (2021) - [j14]Amin Shahraki
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms. IEEE Trans. Netw. Serv. Manag. 18(2): 2242-2274 (2021) - [c45]Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann:
ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection. CogMI 2021: 1-10 - [c44]Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. ISIE 2021: 1-7 - [c43]Dapeng Lan, Yu Liu, Amir Taherkordi, Frank Eliassen, Stéphane Delbruel
A federated fog-cloud framework for data processing and orchestration: a case study in smart cities. SAC 2021: 729-736 - [c42]Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar
Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. FlexNets@SIGCOMM 2021: 38-43 - [i2]Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut:
Active Learning for Network Traffic Classification: A Technical Survey. CoRR abs/2106.06933 (2021) - [i1]Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech, Valeriy Vyatkin:
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. CoRR abs/2112.01367 (2021) - 2020
- [j13]Xiaoming Yuan
Edge-Enabled WBANs for Efficient QoS Provisioning Healthcare Monitoring: A Two-Stage Potential Game-Based Computation Offloading Strategy. IEEE Access 8: 92718-92730 (2020) - [j12]Amin Shahraki
Clustering objectives in wireless sensor networks: A survey and research direction analysis. Comput. Networks 180: 107376 (2020) - [c41]Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann
DeepMatch: deep matching for in-vehicle presence detection in transportation. DEBS 2020: 97-108 - [c40]Mohammad Azangoo
Digital Twins for Manufacturing Using UML and Behavioral Specifications. ETFA 2020: 1035-1038 - [c39]Dapeng Lan, Amir Taherkordi, Frank Eliassen, Zhuang Chen, Lei Liu:
Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities. ICA3PP (2) 2020: 230-244 - [c38]Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu:
Deep Reinforcement Learning for Computation Offloading and Caching in Fog-Based Vehicular Networks. MASS 2020: 622-630 - [c37]Ergys Puka, Peter Herrmann, Amir Taherkordi:
Hybrid Context-aware Message Flooding for Dead Spot Mitigation in V2I Communication. VTC Fall 2020: 1-7
2010 – 2019
- 2019
- [j11]Dapeng Lan
Latency Analysis of Wireless Networks for Proximity Services in Smart Home and Building Automation: The Case of Thread. IEEE Access 7: 4856-4867 (2019) - [j10]Amir Taherkordi
Context-Driven and Real-Time Provisioning of Data-Centric IoT Services in the Cloud. ACM Trans. Internet Techn. 19(1): 7:1-7:24 (2019) - [c36]Amir Taherkordi:
Session details: Workshop: DFSD. EWSN 2019 - [c35]Leila Shooshtarian, Dapeng Lan, Amir Taherkordi:
A Clustering-Based Approach to Efficient Resource Allocation in Fog Computing. I-SPAN 2019: 207-224 - [c34]Magnus Karsten Oplenskedal, Amirhosein Taherkordi, Peter Herrmann
Automated Product Localization Through Mobile Data Analysis. MDM 2019: 18-26 - [c33]Dapeng Lan, Amir Taherkordi, Frank Eliassen, Geir Horn
A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges. DFSD@Middleware 2019: 1-6 - [c32]Thomas Dreibholz
Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study. PDP 2019: 59-66 - [c31]Min Zhang, Frank Eliassen, Amir Taherkordi, Hans-Arno Jacobsen, Hwei-Ming Chung, Yan Zhang:
Energy Trading with Demand Response in a Community-based P2P Energy Market. SmartGridComm 2019: 1-6 - 2018
- [j9]Amir Taherkordi
Future Cloud Systems Design: Challenges and Research Directions. IEEE Access 6: 74120-74150 (2018) - [j8]Nasir Abbas, Yan Zhang
Mobile Edge Computing: A Survey. IEEE Internet Things J. 5(1): 450-465 (2018) - [j7]Feroz Zahid
A Self-Adaptive Network for HPC Clouds: Architecture, Framework, and Implementation. IEEE Trans. Parallel Distributed Syst. 29(12): 2658-2671 (2018) - [c30]Amir Taherkordi, Peter Herrmann:
Pervasive Smart Contracts for Blockchains in IoT Systems. ICBTA 2018: 6-11 - [c29]Magnus Karsten Oplenskedal, Peter Herrmann
Simulation-driven Development of Self-adaptive Transportation Systems. NetSoft 2018: 372-377 - 2017
- [c28]Amir Taherkordi, Frank Eliassen:
Data-Centric IoT Services Provisioning in Fog-Cloud Computing Systems: Poster Abstract. IoTDI 2017: 317-318 - [c27]Amir Taherkordi, Frank Eliassen, Geir Horn
From IoT big data to IoT big services. SAC 2017: 485-491 - [c26]Alexander Svae, Amir Taherkordi, Peter Herrmann
Self-adaptive control in cyber-physical systems: the autonomous train experiment. SAC 2017: 1436-1443 - 2016
- [c25]Amir Taherkordi, Peter Herrmann
Service Virtualization for Self-adaptation in Mobile Cyber-Physical Systems. ICSOC Workshops 2016: 56-68 - [c24]Kashif Dar, Amir Taherkordi, Frank Eliassen:
Enhancing Dependability of Cloud-Based IoT Services through Virtualization. IoTDI 2016: 106-116 - [c23]Geir Horn
An architecture for using commodity devices and smart phones in health systems. ISCC 2016: 255-260 - [c22]Huu Tam Tran, Harun Baraki
A Notification Management Architecture for Service Co-evolution in the Internet of Things. MESOCA 2016: 9-15 - [c21]Amir Taherkordi, Frank Eliassen:
Scalable modeling of cloud-based IoT services for smart cities. PerCom Workshops 2016: 1-6 - 2015
- [j6]Kashif Dar, Amirhosein Taherkordi, Harun Baraki
A resource oriented integration architecture for the Internet of Things: A business process perspective. Pervasive Mob. Comput. 20: 145-159 (2015) - [c20]Amir Taherkordi, Christian Johansen
Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions. DCOSS 2015: 52-61 - 2014
- [c19]Amirhosein Taherkordi, Frank Eliassen:
Models@run.time for Creating In-Cloud Dynamic Cyber-Physical Ecosystems. CloudCom 2014: 976-982 - [c18]Amir Taherkordi, Frank Eliassen:
Towards Independent In-Cloud Evolution of Cyber-Physical Systems. CPSNA 2014: 19-24 - 2013
- [j5]Daniel Romero, Gabriel Hermosillo, Amirhosein Taherkordi, Russel Nzekwa, Romain Rouvoy
The DigiHome Service-Oriented Platform. Softw. Pract. Exp. 43(10): 1205-1218 (2013) - [j4]Amirhosein Taherkordi, Frédéric Loiret, Romain Rouvoy
Optimizing sensor network reprogramming via in situ reconfigurable components. ACM Trans. Sens. Networks 9(2): 14:1-14:33 (2013) - [c17]Amirhosein Taherkordi, Frank Eliassen, Einar Broch Johnsen
Behavioural design of sensor network applications using activity-driven states. SESENA 2013: 13-18 - 2011
- [b1]Amirhosein Taherkordi:
Programming Wireless Sensor Networks: From Static to Adaptive Models. University of Oslo, Norway, 2011 - [j3]Amirhosein Taherkordi, Frédéric Loiret, Romain Rouvoy
A Generic Component-Based Approach for Programming, Composing and Tuning Sensor Software. Comput. J. 54(8): 1248-1266 (2011) - [c16]Kashif Dar, Amirhosein Taherkordi, Romain Rouvoy
Adaptable service composition for very-large-scale internet of things systems. Middleware Doctoral Symposium 2011: 2:1-2:6 - [p1]Amirhosein Taherkordi, Frank Eliassen, Daniel Romero, Romain Rouvoy:
RESTful Service Development for Resource-Constrained Environments. REST: From Research to Practice 2011: 221-236 - 2010
- [c15]Daniel Romero, Gabriel Hermosillo, Amirhosein Taherkordi, Russel Nzekwa, Romain Rouvoy
RESTful Integration of Heterogeneous Devices in Pervasive Environments. DAIS 2010: 1-14 - [c14]Amirhosein Taherkordi, Frédéric Loiret, Azadeh Abdolrazaghi, Romain Rouvoy
Programming Sensor Networks Using Remora Component Model. DCOSS 2010: 45-62 - [c13]Amirhosein Taherkordi, Romain Rouvoy
A component-based approach for service distribution in sensor networks. MidSens 2010: 22-28 - [c12]Amirhosein Taherkordi, Frank Eliassen:
An event-driven approach to address reflectivity in sensornets. ARM 2010: 52-53
2000 – 2009
- 2009
- [j2]Quan Le Trung, Paal E. Engelstad, Vinh Pham, Tor Skeie, Amirhosein Taherkordi, Frank Eliassen:
Providing internet connectivity and mobility management for MANETs. Int. J. Web Inf. Syst. 5(2): 239-263 (2009) - [c11]Quan Le Trung, Amirhosein Taherkordi, Frank Eliassen, Hai Ngoc Pham, Tor Skeie, Paal E. Engelstad:
DCM-Arch: An Architecture for Data, Control, and Management in Wireless Sensor Networks. AINA 2009: 898-905 - [c10]Quan Le Trung, Amirhosein Taherkordi, Tor Skeie, Hai Ngoc Pham, Paal E. Engelstad:
Information Storage, Reduction and Dissemination in Sensor Networks: A Survey. CCNC 2009: 1-6 - [c9]Amirhosein Taherkordi, Quan Le Trung, Romain Rouvoy
WiSeKit: A Distributed Middleware to Support Application-Level Adaptation in Sensor Networks. DAIS 2009: 44-58 - 2008
- [c8]Amirhosein Taherkordi, Reza Mohammadi, Frank Eliassen:
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks. AINA Workshops 2008: 634-638 - [c7]Amirhosein Taherkordi, Romain Rouvoy
A self-adaptive context processing framework for wireless sensor networks. MidSens 2008: 7-12 - [c6]Quan Le Trung, Paal E. Engelstad, Tor Skeie, Amirhosein Taherkordi:
Load-balance of intra/inter-MANET traffic over multiple internet gateways. MoMM 2008: 50-57 - [c5]Amirhosein Taherkordi, Frank Eliassen, Romain Rouvoy, Quan Le Trung:
ReWiSe: A New Component Model for Lightweight Software Reconfiguration in Wireless Sensor Networks. OTM Workshops 2008: 415-425 - 2007
- [c4]Majid Alkaee Taleghan, Amirhosein Taherkordi, Mohsen Sharifi, Tai-Hoon Kim:
A Survey of System Software for Wireless Sensor Networks. FGCN (2) 2007: 402-407 - 2006
- [j1]Amirhosein Taherkordi, Majid Alkaee Taleghan, Mohsen Sharifi
Dependability Considerations in Wireless Sensor Networks Applications. J. Networks 1(6): 28-35 (2006) - [c3]Amirhosein Taherkordi, Majid Alkaee Taleghan, Mohsen Sharifi
Achieving Availability and Reliability in Wireless Sensor Networks Applications. ARES 2006: 529-535 - [c2]Mohsen Sharifi
A Publish-Subscribe Middleware for Real-Time Wireless Sensor Networks. International Conference on Computational Science (1) 2006: 981-984 - [c1]Mohsen Sharifi
A Middleware Layer Mechanism for QoS Support in Wireless Sensor Networks. ICN/ICONS/MCL 2006: 118
Coauthor Index
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last updated on 2024-11-27 21:20 CET by the dblp team
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