Published Online:January 2025
Product Name:The IUP Journal of Electrical & Electronics Engineering
Product Type:Article
Product Code:IJEEE030125
DOI:10.71329/IUPJEEE/2025.18.1.44-62
Author Name:Mitali Sil, Shovnik Paul, Soumyo Chatterjee, Sayan Chatterjee and Sheli Sinha Chaudhuri
Availability:YES
Subject/Domain:Engineering
Download Format:PDF
Pages:44-62
The paper proposes a direction of arrival (DOA)-based bio-inspired method of path planning for unmanned aerial vehicles (UAVs) used in post-disaster relief operations. The method initiated by identifying the location of distress signal using DOA algorithm creates a collision-free shortest path for swarm of three UAVs. A bio-inspired path planning has been developed to guide the UAVs to the distress location. As a representative algorithm, differential evolution algorithm has been used to find the optimum locations of the drone such that the centroid of virtual triangle formed between them at any instant lies on the shortest path defined in the initial stages of the proposed method. The proposed algorithm has been validated using a simulated environment in MATLAB 2019b. The effectiveness of the proposed method has been illustrated through a comparative study.
A disaster can be defined as a sudden, severe, and widespread event or occurrence that causes significant disruption, damage, and loss of life, property or livelihoods.