As part of the Internet of Drone Things (IoDT), the use of drones to gather data from ground-based networks is progressing quickly. Comprising unmanned aerial vehicles (UAVs) into the Internet of Vehicles (IoV) has effectively addressed issues such as traffic congestion, data security, and energy consumption. However, the IoV’s dynamic mobility and ad hoc traffic patterns contribute to improved network latency and overhead. Additionally, the existence of malicious attackers can further disrupt traffic flow. To overcome these difficulties, drone-assisted IoV has been developed to establish reliable communication in wireless mobile networks, especially in disaster-stricken areas. Traditional IP-based systems depend on location-based communication, but optimizing node density and decreasing the dependence on highly mobile nodes are required advancements. This paper presents a system that integrates the Snake Optimizer with the Sine Cosine Algorithm (SO-SCA), lowering overhead and improving node speed. The proposed method expedites network performance by sweetening the capacity to locate disaster epicenters. Drones are operated to update anchor nodes periodically, which helps disaster area networks remain stable. Geo-tracking is also shown to improve routing efficiency in mobile ad hoc networks (MANETs), with performance measured employing metrics such as packet latency and packet damage.