• Ishan Neogi
• Navya Sharma
• Shailendra Sharma

UAVs are used extensively in many applications such as surveillance, security, drones and weather forecasting etc. An operational UAV has a major bottleneck as it is operated by battery. As the battery of a UAV gets consumed the device stops working. A major chunk of UAV battery gets consumed in data transmission process in a network of UAVs. In this work, we propose a novel data routing algorithm using artificial intelligence algorithm any colony optimization that minimizes the transmission distance through which a UAV sends its data. This efficient routing protocol maps the behaviour of ants in ACO and finds the optimum route for UAV data transmission. Results of the proposed work are compared with genetic algorithm bases UAV data transmission and simple UAV data transmission. The proposed algorithm performs better than the past works

UAV, Data transmission, ACO, energy efficiency

"Achieving energy efficiency in UAVs using Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.401-404, July-2018, Available :http://www.jetir.org/papers/JETIR1807303.pdf

"Achieving energy efficiency in UAVs using Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp401-404, July-2018, Available at : http://www.jetir.org/papers/JETIR1807303.pdf