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Abstract
In this contemporary technological age, where it is possible to enjoy the benefits of growth in daily life, at the same time, it is difficult to escape from its hidden or obvious devastation. The same goes for the Unmanned Aerial Vehicle (UAV)/Drone technology, which is creating turmoil at the universal stage. Here, the work is taken up on the coordination of UAV swarm considering the wobbling effect due to the wind advection. A Bio-inspired Intelligent Firefly-Grasshopper (BIFG) Algorithm is proposed for the cluster formation, maintenance of the topology and communication among each other. Cluster formation is based upon the UAV’s energy levels, inspired by the Firefly algorithm (FA), which is followed by the head selection to communicate with the Ground Base-station (GS). The management of the rapidly changing topology of the drones is done with the Grasshopper optimization algorithm (GOA) to avoid an inter-UAV collision. Based on the behaviour of the swarm of UAVs, a Back Propagation Neural Network (BPNN) is used to minimize the error caused due to the wobbling effect, which is one of the major causes of the deviation from the desired outcome. For communication among the cluster members, an optimal topology-based routing protocol is used to transmit the data correctly. Further, the performance of the BIFG algorithm is assessed while taking various factors into account. The application of the proposed work is to search for intruder UAVs in a restricted area, like an airport.
DISCLOSURE STATEMENT
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Priti Mandal
Priti Mandal received the BTech degree in electronics and communication engineering, from Jawaharlal Nehru Technological University, Kakinada, India, in 2017. She received the MTech degree in radio-frequency and microwave engineering from Gandhi Institute of Technology and Management (Deemed to be) University, Visakhapatnam, India, in 2019. Currently, she is pursuing her PhD from National Institute of Technology Rourkela, India. E-mail: [email protected], [email protected]
Lakshi Prosad Roy
Lakshi Prosad Roy received his BTech and MTech degrees in radiophysics and electronics from University of Calcutta, India in 2002 and 2005. He received his PhD degree in telecommunication engineering from Indian Institute of Technology Kharagpur, India in 2011. Presently, he is assistant professor at National Institute of Technology Rourkela, India. His research interests include statistical signal processing theories, algorithm, with applications to radar, sonar, acoustic, microphone array beamforming and wireless communication MIMO channel modelling and beamforming. E-mail: [email protected]
Santos Kumar Das
Santos Kumar Das (Senior Member, IEEE) received the MS degree from IISc Bangalore, Bengaluru, India, in 2002, and the PhD degree from the National Institute of Technology Rourkela, India, in 2014. He is currently an assistant professor with the Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela. He has worked in a number of organizations both in India and in abroad in various capacities. His research interest includes computer networking, sensor networking, optical networking, and embedded systems. He has served on the programme committee for a number of international conferences. Corresponding author. E-mail: [email protected]