DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-9 ( Sep, 2019 ) | |||||||||
Paper Title |
Hybrid Pigeon Inspired Optimization (h-PIO) Algorithm for UAV Swarm | |||||||||
Author Name |
Dabbiru Ravi Vikranth, Anurag Sharma | |||||||||
Affilition |
Research Scholar, Associate Professor MATS University, INDIA | |||||||||
Pages |
8-15 | |||||||||
Abstract |
Autonomy of unmanned aerial systems depends on self reliance, de-centralized decision making capabilities of Unmanned Aerial Vehicle (UAV) entities. Autonomy hinges on Co-ordination & control of Multi Agent aerial System. Route planning using modified Ant Colony Optimization (m-ACO) is the initial step in developing autonomous Aerial systems. Avian Navigation & Asset Tracking is discussed in this paper employing bio – inspired Pigeon Optimization Algorithm (h-PIO). The research paper proposes Markov Decision process (MDP) based Collision Avoidance System (CAS) Algorithm. Co-operative maneuvering using Swarm Co-ordination & Control is achieved employing rigid cohesive systems with loose coupling. Flying Adhoc Network (FANET) serves as the backbone communication using 802.11 b/n/g for the UAV Swarm. Keywords - Pigeon Inspired Optimization Algorithm, UAV, Swarm, Formation Control, Co-ordination | |||||||||
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