DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION

• Main Authors: , ZAWIYAH SAHARUNA, , Widyawan, S.T., M. Sc., Ph.D.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2012
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/100566/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=57090
• Institution: Universitas Gadjah Mada

Deployment is one of several important issues in Wireless Sensor Network (WSN). During WSN deployment, the connectivity between each sensor nodes must be considered carefully to create reliable communication. In this research, we propose a WSN deployment tool based on Particle Swarm Optimization (PSO) algorithm with connectivity of the wireless to be concern. Implementation of the PSO algorithm is focused to optimize received power of each sensor node based on its position in the 2D space. Therefore, every sensor node in the network will be able to reach its best position and improves the network connectivity. There are two scenarios in this research, the first scenario using the inertia weight in the calculation of velocity and the second scenario using constriction factor (K) and existing control at the time of updating the velocity and position. Both of scenarios involve 30 particles, 10 sensor nodes, and the size of deployment area is 500x500m2. The deployment results using both scenarios can form a network with well connectivity. The rate of convergence in the first scenario occurs after 23 iterations and the second scenario after 29 iterations. The results show that the PSO algorithm is suitable to be implemented for the case of sensor node deployment.