What is it about?
In this paper, we have used hybrid bio-inspired algorithm namely Improved Genetic Algorithm and Binary Ant Colony Algorithm (IGA-BACA) to find optimal coverage in WSNs. We have proposed a mathematical model that evaluates the overlapping area between the sensing regions of the sensors. This overlapping area corresponds to redundant information. We have reduced the redundant information by incorporating it into the objective function.
Photo by Kevin Niu on Unsplash
Why is it important?
This research is important for preventing the drainage of the limited battery life of the sensors. This work prevents the sensing of redundant information.
Read the Original
This page is a summary of: Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques, Journal of Intelligent & Fuzzy Systems, November 2019, IOS Press, DOI: 10.3233/jifs-190605.
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