no code implementations • 24 Nov 2023 • Attai Ibrahim Abubakar, Michael S. Mollel, Naeem Ramzan
The performance evaluation reveals that the proposed framework can achieve an energy saving that is about 77% more than that of the state-of-the-art solutions while respecting the QoS constraints of the network.
no code implementations • 15 Mar 2023 • Mahmoud A. Shawky, Syed Tariq Shah, Michael S. Mollel, Jalil R. Kazim, Muhammad Ali Imran, Qammer H. Abbasi, Shuja Ansari, Ahmad Taha
Intelligent transportation systems increasingly depend on wireless communication, facilitating real-time vehicular communication.
no code implementations • 17 Apr 2022 • Attai Ibrahim Abubakar, Iftikhar Ahmad, Kenechi G. Omeke, Metin Ozturk, Cihat Ozturk, Ali Makine Abdel-Salam, Michael S. Mollel, Qammer H. Abbasi, Sajjad Hussain, Muhammad Ali Imran
In this survey, we investigate different energy optimization techniques with a top-level classification in terms of the optimization algorithm employed; conventional and machine learning (ML).