Minimization of the number of sensors in a WSN sensor network using metaheuristic cooperation

University of Science and Technology USTHB

IT department

End-of-study project in license year (2018/2019)

Problematic :

In order to better exploit the performance and obtain the best expected results from sensors, these are not placed in fields and work surfaces at chance, everything must be well estimated and well calculated according to specific methodologies. In our study above, we have agricultural land that we want to equip with a WSN network and we are looking to obtain the ideal combination that will allow us to cover the comprehensiveness of the field for better management of the latter while minimizing the most possible costs. Since our problem is similar to the Radio Network Design (RND) problem which consists in finding the best radio layout composing the network for maximize the coverage area while using the minimum radio, so it is up to the class of problems say NP-DIFFICILES.

Resolution :

Cooperation algorithm between these three metaheuristics:

• Simulated annealing algorithm

• Genetic algorithm

• Biogeography-based optimization algorithm

Software used :

• Java

• JavaFX with sceneBuilder

• XML

Software screens :

• First Step



• Second Step



• Third Step



• Fourth Step