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Optimal coverage with minimum redundant information in WSNs using bio-inspired algorithms (IGA+BACO)

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.

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.

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ABHILASH SINGH
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