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Stephen Anokye - IEEE Xplore Author Profile
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Stephen Anokye

Publications
7
Citations
188
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (15)
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Stephen Anokye

Affiliation

School of Computer Science and Engineering
University of Electronic Science and Technology of China (UESTC)
Chengdu, China
Intelligent Terminal Key Laboratory of Sichuan Province, Yibin, China

Publication Topics

Biography

Stephen Anokye received the B.Sc. degree in computer science from KNUST, Ghana, in 2004, and the M.Eng. degree in computer science from Hunan University, China, in 2009. He is currently pursuing the Ph.D. degree with the University of Electronic Science and Technology of China (UESTC). From 2010 to 2012, he worked as a Lecturer with the Department of Computer Science, Garden City University College, Ghana. In 2012, he moved to the University of Mines and Technology, Ghana, where he works as a Lecturer with the Department of Computer Science and Engineering. He is a member of the Mobile Cloud-Net Research Team, UESTC. His research interests are security in wireless sensors.(Based on document published on 2 August 2023).
Publications
7
Citations
188
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (15)
Author's Published Works

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Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G

Daniel Ayepah-Mensah;Guolin Sun;Gordon Owusu Boateng;Stephen Anokye;Guisong Liu

IEEE/ACM Transactions on Networking
Year: 2024 | Volume: 32, Issue: 1 | Journal Article |
Cited by: Papers (10)
Radio Access Network (RAN) slicing enables resource sharing among multiple tenants and is an essential feature for next-generation mobile networks. Usually, a centralized controller aggregates available resource pools from multiple tenants to increase spectrum availability. In dynamic resource allocation, a tenant could behave strategically by adjusting its preferences based on perceived condition...Show More

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G

Daniel Ayepah-Mensah;Guolin Sun;Gordon Owusu Boateng;Stephen Anokye;Guisong Liu

Year: 2024 | Volume: 32, Issue: 1 | Journal Article |

Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks

Stephen Anokye;Daniel Ayepah-Mensah;Abegaz Mohammed Seid;Gordon Owusu Boateng;Guolin Sun

IEEE Systems Journal
Year: 2022 | Volume: 16, Issue: 1 | Journal Article |
Cited by: Papers (24)
With the proliferation of smart mobile devices, there is now an ever increasing craving for higher bandwidth for end user satisfaction. Increasing mobile traffic leads to congestion of backhaul networks. One promising solution to this problem is the mobile edge network and consequently mobile edge caching. There is an emerging paradigm shift toward the use of unmanned aerial vehicles (UAVs) to ass...Show More

Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks

Stephen Anokye;Daniel Ayepah-Mensah;Abegaz Mohammed Seid;Gordon Owusu Boateng;Guolin Sun

Year: 2022 | Volume: 16, Issue: 1 | Journal Article |

Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach

Abegaz Mohammed Seid;Gordon Owusu Boateng;Stephen Anokye;Thomas Kwantwi;Guolin Sun;Guisong Liu

IEEE Internet of Things Journal
Year: 2021 | Volume: 8, Issue: 15 | Journal Article |
Cited by: Papers (146)
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are envisioned to generate huge amounts of data. Due to the limitation of computation capacity and battery life of devices, all tasks cannot be processed by these devices. However, mobile-edge computing (MEC) is a very promising solution enabling offloading of tasks to nearby MEC servers to improve quality of se...Show More

Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach

Abegaz Mohammed Seid;Gordon Owusu Boateng;Stephen Anokye;Thomas Kwantwi;Guolin Sun;Guisong Liu

Year: 2021 | Volume: 8, Issue: 15 | Journal Article |

Intelligent Energy Management Device for Energy Conservation in Air conditioners

Stephen Anokye;Elvis Twumasi;Emmanuel Asuming Frimpong;Bernice Monney Agyirakwa;Rhoda Etornam Kudor

2020 IEEE PES/IAS PowerAfrica
Year: 2020 | Conference Paper |
The paper reports on the design, construction, and pilot implementation of an intelligent controller for Airconditioners (ACs), to conserve energy. The intelligent controller is named Airro. Airro employs a pyroelectric infrared (PIR) sensor and a microcontroller to detect occupancy and determine whether the controlled AC should be turned off or on. A mobile application has also been developed to ...Show More

Intelligent Energy Management Device for Energy Conservation in Air conditioners

Stephen Anokye;Elvis Twumasi;Emmanuel Asuming Frimpong;Bernice Monney Agyirakwa;Rhoda Etornam Kudor

Year: 2020 | Conference Paper |

Privacy Preservation of Users in P2P E-Payment System

Albert Kofi Kwansah Ansah;Daniel Adu-Gyamfi;Stephen Anokye

2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Bitcoin ecosystem is supposed to be anonymous and untraceable. Nonetheless, Bitcoin offers weak anonymity in practice. The linkable pseudonymity of Bitcoin system raises privacy concerns for users. There are inputs and outputs of cryptocurrencies that link to Bitcoin public addresses. This is vulnerable to possible linkability and traceability of users’ identity, that can lead to information leaka...Show More

Privacy Preservation of Users in P2P E-Payment System

Albert Kofi Kwansah Ansah;Daniel Adu-Gyamfi;Stephen Anokye

Year: 2019 | Conference Paper |

Groupwise Pairwise Scheme for Wireless Sensor Networks

Stephen Anokye;Thabo Semong;Qiaoliang Li;Qiang Hu

2009 International Conference on New Trends in Information and Service Science
Year: 2009 | Conference Paper |
With the proliferation of wireless sensor networks, it has become expedient to secure the communication links between two sensor nodes. Due to the resource constraints of wireless sensor networks, traditional key management schemes such as the Diffie-Hellman and public key schemes are not applicable in wireless sensor networks. Our work seeks to improve on the pairwise scheme and the random pairwi...Show More

Groupwise Pairwise Scheme for Wireless Sensor Networks

Stephen Anokye;Thabo Semong;Qiaoliang Li;Qiang Hu

Year: 2009 | Conference Paper |

Rumor as an Energy-Balancing Multipath Routing Protocol for Wireless Sensor Networks

Thabo Semong;Stephen Anokye;Qiaoliang Li;Qiang Hu

2009 International Conference on New Trends in Information and Service Science
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Energy consumption is a key design criterion for the routing protocols in wireless sensor networks (WSN). It is very important when designing a WSN to think of a routing protocol that makes the best use of the severely limited resources. Some of the conventional single path routing schemes may not be optimal to maximize the network lifetime and connectivity. This paper proposes a routing protocol ...Show More

Rumor as an Energy-Balancing Multipath Routing Protocol for Wireless Sensor Networks

Thabo Semong;Stephen Anokye;Qiaoliang Li;Qiang Hu

Year: 2009 | Conference Paper |

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