MoEA-DeployWSN-SB: three variants of multi-objective evolutionary algorithms for the deployment optimization strategy of a WSN in a smart building

Author:

Benalia Nour El-HoudaORCID,Si Hadj Mohand Imene,Ferhattaleb Soumaya,Sadoun Rabab,Bentrah Ahlem

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference41 articles.

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2. Aitsaadi N, Achir N, Boussetta K, Pujolle G (2011) Artificial potential field approach in WSN deployment: Cost, QOM, connectivity, and lifetime constraints. Comput Netw 55(1):84–105

3. Akbarzadeh V, Lévesque JC, Gagné C, Parizeau M (2014) Efficient sensor placement optimization using gradient descent and probabilistic coverage. Sensors (Basel, Switzerland) 14(15):525–52

4. Amutha J, Sharma S, Nagar J (2020) Wsn strategies based on sensors, deployment, sensing models, coverage and energy efficiency: review, approaches and open issues. Wirel Pers Commun 111(2):1089–1115

5. Anciaux L (2018) Smart building : c’est quoi ?

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