RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles

Abstract

Unmanned aerial vehicle (UAV) has recently gained significant attention due to their efficient structures, cost-effectiveness, easy availability, and tendency to form an ad hoc wireless mobile network. IoT-enabled UAV is a new research domain that uses location tracking with the advancement of aerial technology. In this context, the importance of 3D aerial networks is attracting a lot of attention recently. It has various applications related to information processing, communication, and location-based services. Location identification of wireless nodes is a challenging job and of extreme importance. In this study, we introduced a novel technique for finding indoor and open-air three-dimensional (3D) areas of nodes by measuring the signal strength. The mathematical formulation is based on a path loss model and decision tree machine learning classifier. We constructed 2D and 3D models to gather more accurate information on the nodes. Simulation findings demonstrate that the proposed machine learning-based model excels in nodes location estimation, the actual and estimated distance of different nodes, and calculation of received signal strength in aerial ad hoc networks. In addition, the decision tree constructs an offline phase control in the flying vehicle’s location to enhance the time complexity along with experimental accuracy.

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

“…IoT-based routing plays an important role in the field of flying ad hoc networks. Due to mobile pattern wireless communication technologies [ 27 ], deployment allows easy access to aerial vehicles with the base station. The best practice is to use flying IoT in health care and sports.…”

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

“…Signal strength power measurement, commonly known as the received signal strength indicator (RSSI), is a technique for calculating the distance with respect to signal strength between the UAV and the antenna tracking system [ 93 ]. The received signal strength (energy) is measured by the RSSI after quantizing the measured signal energy relative to a position at the receiving end.…”

A mean field game-theoretic cross-layer optimization for multi-hop swarm UAV communications

“…UAV systems have been used to take many tasks, such as Internet of things (IoT) data transmission [1], border surveillance [3], disaster monitoring [4], and emergency communications [5]. At present, tasks are getting more complex, and a single UAV faces different challenges such as limited power, short-communication ranges, rapid topology, low bandwidth, and handover [6]. Therefore, the applications of UAVs become networking and clustering, and flying ad-hoc network (FANET) has been widely investigated [7].…”