2024

Omeke, K., Mollel, M. , Shah, S. , Zhang, L. , Abbasi, Q. and Imran, M. A. (2024) Towards a sustainable Internet-of-Underwater-Things based on AUVs, SWIPT and reinforcement learning. IEEE Internet of Things Journal, 11(5), pp. 7640-7651. (doi: 10.1109/JIOT.2023.3319250)

2023

Abubakar, A. I. , Ahmad, I. , Omeke, K. G., Ozturk, M., Ozturk, C., Abdel-Salam, A. M., Mollel, M. S. , Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2023) A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), 214. (doi: 10.3390/drones7030214)

2022

Omeke, K. G., Abubakar, A. I. , Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2022) How reinforcement learning is helping to solve internet-of-underwater-things problems. IEEE Internet of Things Magazine, 5(4), pp. 24-29. (doi: 10.1109/IOTM.001.2200129)

Omeke, K. G., Mollel, M. , Shah, S. T. , Arshad, K., Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2022) Dynamic Clustering and Data Aggregation for the Internet-of-Underwater-Things Networks. In: 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), Al-Khobar, Saudi Arabia, 04-06 Dec 2022, pp. 322-328. ISBN 9781665487719 (doi: 10.1109/CICN56167.2022.10008249)

Tshukudu, E., Olaosebikan, S. , Omeke, K., Pancheva, A., McQuistin, S. , Jilantikiri, L. J. and Al-anqoudi, M. (2022) Broadening Participation in Computing: Experiences of an online programming workshop for African Students. In: 27th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2022), Dublin, Ireland, 8-13 July 2022, pp. 393-399. ISBN 9781450392013 (doi: 10.1145/3502718.3524773)

2021

Omeke, K. G., Mollel, M. S. , Ozturk, M., Ansari, S. , Zhang, L. , Abbasi, Q. and Imran, M. (2021) DEKCS: a dynamic clustering protocol to prolong underwater sensor networks. IEEE Sensors Journal, 21(7), pp. 9457-9464. (doi: 10.1109/JSEN.2021.3054943)

2020

Abubakar, A. I. , Omeke, K. G., Öztürk, M., Hussain, S. and Imran, M. A. (2020) The role of artificial intelligence driven 5G networks in COVID-19 outbreak: opportunities, challenges, and future outlook. Frontiers in Communications and Networks, 1, 575065. (doi: 10.3389/frcmn.2020.575065)

Omeke, K. G., Mollel, M. S. , Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2020) Energy Optimisation Through Path Selection for Underwater Wireless Sensor Networks. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194899 (doi: 10.1109/UCET51115.2020.9205429)

2019

Omeke, K. G., Abohmra, A., Imran, M. A. , Abbasi, Q. H. and Zhang, L. (2019) Characterization of RF signals in Different Types of Water. In: Antennas and Propagation Conference 2019, Birmingham, UK, 11-12 Nov 2019, ISBN 9781839531705 (doi: 10.1049/cp.2019.0695)

Articles

Omeke, K., Mollel, M. , Shah, S. , Zhang, L. , Abbasi, Q. and Imran, M. A. (2024) Towards a sustainable Internet-of-Underwater-Things based on AUVs, SWIPT and reinforcement learning. IEEE Internet of Things Journal, 11(5), pp. 7640-7651. (doi: 10.1109/JIOT.2023.3319250)

Abubakar, A. I. , Ahmad, I. , Omeke, K. G., Ozturk, M., Ozturk, C., Abdel-Salam, A. M., Mollel, M. S. , Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2023) A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), 214. (doi: 10.3390/drones7030214)

Omeke, K. G., Abubakar, A. I. , Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2022) How reinforcement learning is helping to solve internet-of-underwater-things problems. IEEE Internet of Things Magazine, 5(4), pp. 24-29. (doi: 10.1109/IOTM.001.2200129)

Omeke, K. G., Mollel, M. S. , Ozturk, M., Ansari, S. , Zhang, L. , Abbasi, Q. and Imran, M. (2021) DEKCS: a dynamic clustering protocol to prolong underwater sensor networks. IEEE Sensors Journal, 21(7), pp. 9457-9464. (doi: 10.1109/JSEN.2021.3054943)

Abubakar, A. I. , Omeke, K. G., Öztürk, M., Hussain, S. and Imran, M. A. (2020) The role of artificial intelligence driven 5G networks in COVID-19 outbreak: opportunities, challenges, and future outlook. Frontiers in Communications and Networks, 1, 575065. (doi: 10.3389/frcmn.2020.575065)

Conference Proceedings

Omeke, K. G., Mollel, M. , Shah, S. T. , Arshad, K., Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2022) Dynamic Clustering and Data Aggregation for the Internet-of-Underwater-Things Networks. In: 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), Al-Khobar, Saudi Arabia, 04-06 Dec 2022, pp. 322-328. ISBN 9781665487719 (doi: 10.1109/CICN56167.2022.10008249)

Tshukudu, E., Olaosebikan, S. , Omeke, K., Pancheva, A., McQuistin, S. , Jilantikiri, L. J. and Al-anqoudi, M. (2022) Broadening Participation in Computing: Experiences of an online programming workshop for African Students. In: 27th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2022), Dublin, Ireland, 8-13 July 2022, pp. 393-399. ISBN 9781450392013 (doi: 10.1145/3502718.3524773)

Omeke, K. G., Mollel, M. S. , Zhang, L. , Abbasi, Q. H. and Imran, M. A. (2020) Energy Optimisation Through Path Selection for Underwater Wireless Sensor Networks. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194899 (doi: 10.1109/UCET51115.2020.9205429)

Omeke, K. G., Abohmra, A., Imran, M. A. , Abbasi, Q. H. and Zhang, L. (2019) Characterization of RF signals in Different Types of Water. In: Antennas and Propagation Conference 2019, Birmingham, UK, 11-12 Nov 2019, ISBN 9781839531705 (doi: 10.1049/cp.2019.0695)