Abstract
FANET is an emerging approach for networking these days. But it is still in its infancy. It is a form of multi-UAVs system comprising of a mesh of a number of nodes that provide a flexible on the fly communication between each other. In such networks, involving diversified nodes a system based on cooperation among the nodes for job allotment becomes an utmost important thing. Cooperative task allocation is an important aspect of networks. Cooperative task between the nodes is an important task in the field of research. Cooperation among different nodes can be achieved with the help of various framework, architecture or models. The allocation of task can be based on some mission or can be achieved through simple utilization of existing resources. Many optimization algorithms are based on cooperative behavior of nodes; the same can be understood taking examples of many living beings in the world. In our paper, the algorithm of desert sparrow optimization is taken for the cooperative mission allocation. The functions and exploration of this algorithm will be defined for the FANETs. Python and RStudio are used to plot the graphs from the dataset. The graph is drawn between time series and dataset. The algorithm will be implemented using linear regression techniques and Python. The results show, how the intelligent communication between UAVs take place and this is adopted from desert sparrow.
Published Version
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