DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION

ZAWIYAH SAHARUNA, Widyawan, S.T., M. Sc., Ph.D.

2012 | Tesis | S2 Teknik Elektro

Deployment merupakan topik penting dalam bidang Wireless Sensor Network (WSN). Proses deployment harus mempertimbangkan konektivitas, sehingga komunikasi antar node sensor dalam jaringan bisa berlangsung dengan baik. Pada penelitian ini, dilakukan simulasi deployment dari aplikasi sensor node deployment berdasarkan Algoritma Particle Swarm Optimization (PSO) dengan mempertimbangkan konektivitas jaringan nirkabel. Implementasi PSO difokuskan pada optimasi posisi node sensor pada koordinat 2D sehingga node sensor mendapatkan posisi terbaiknya dan bisa meningkatkan konektivitasnya dalam jaringan sensor nirkabel. Hasil deployment dengan daya pancar sebesar -25dB, -28dB-31 dB, -34 dB, -37 dB, -40 dB, -43 dB hingga -46 dB membentuk jaringan dengan konektivitas yang tetap terjaga dan kondisi konvergen dari 100 pengujian rata-rata dicapai pada iterasi ke 29.

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.

Kata Kunci : WSN; PSO; Deployment.