Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3606 2019 2019 Department of Computer Technical Engineering, Al-Maarif University College, Al-Ramadi, 31001, Iraq Mujahid Mujahid Technical Engineering College for Computer and AI, Northern Technical University, 41000, Mosul, Iraq Shaima Miqdad Mohamed Najeeb Technical Engineering College for Computer and AI, Northern Technical University, 41000, Mosul, Iraq Kifaa Hadi Thanoon Centre for Language and Foundation Studies, A’Sharqiyah University (ASU), 400 Ibra, Oman Mujahid Hamood Hilal Alzakwani Medical Laboratories Techniques Department, Al-Mustaqbal University College, 51001, Babil, Iraq Fatima Hashim Abbas Technical Engineering College for Computer and AI, Northern Technical University, 41000, Mosul, Rabei Raad Ali Nowadays, Vehicular communication is used in intelligent transmission applications. The number of vehicles used in a particular region has numerously increased energy consumption, computation delay, and computation overhead. In this paper, Multi-Objective Optimization in Satellite Assisted UAVs (MO-SAUVs) is proposed under an improved Ant Colony Optimization (IACO) algorithm. The procedures that are considered for the process of MO are optimal logistics distribution, path prediction-based pheromone deposition, and evaporation. Using this method, effective region selection for the UAVs is performed which leads to improving the network energy efficiency by decreasing energy consumption and delay. The simulation is performed in NS2 and the proposed MO-SAUAVs method is compared with the TA-SAUAVs method and PL-SAUAVs method according to different parameters. The results show that the proposed MO-SAUAVs method achieves lower computation delay (70ms to 110ms), higher energy efficiency (6% to 16%), lower energy consumption (7% to 14%), and packets lower computation overhead (500 packets to 700) when we were compared with TA-SAUAVs and PL-SAUAVs. 2025 2025 189 198 10.54216/JISIoT.160116 https://www.americaspg.com/articleinfo/18/show/3606