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.
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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.
Perspectives
We can further improve the present status of the optimal coverage in WSNs. We can try some other intelligence algorithms to get the best algorithm suited for this problem domain
ABHILASH SINGH
Indian Institute of Science Education and Research Bhopal
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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