Simulasi Deployment Jaringan Sensor Nirkabel Berdasarkan Algoritma Particle Swarm Optimization

Zawiyah Saharuna, Widyawan Widyawan, Sujoko Sumaryonjo

Abstract


Abstract— 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 our 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. The deployment simulation results with various transmit power (e.g. -25 dB, -28 dB, -31 dB, -34 dB, -37 dB, -40 dB, -43 dB, and -46 dB) are successfully form a network with well maintained connectivity. After 100 times of simulation, the average of convergence is reached at iteration 29.
Intisari— 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.

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DOI: http://dx.doi.org/10.22146/jnteti.v1i3.123

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