Implementasi Genetic Algorithm Untuk Optimasi Sleep Scheduling Pada Wireless Sensor Network

Oemaryoga, Chendra Sena (2020) Implementasi Genetic Algorithm Untuk Optimasi Sleep Scheduling Pada Wireless Sensor Network. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Wireless sensor network (WSN) adalah arsitektur jaringan yang terdiri dari banyak node yang bekerja secara kooperatif memantau lingkungan yang besar. Wireless sensor network terbentuk dari sekumpulan sensor node yang diletakkan tersebar di suatu area, dan base station sebagai pengumpul informasi dari semua node. Node yang berjalan pada lingkungan WSN beroperasi menggunakan baterai, yang artinya energi pada node sangat terbatas. Maka perlu dibuat metode agar node dapat beroperasi lebih lama meskipun energinya sangat terbatas. Salah satu metode yang bisa digunakan adalah sleep scheduling. Pada tugas akhir ini, sensor node akan disebar pada area berbentuk grid, dan dilakukan pemetaan wilayah jangkauan berdasarkan grid yang telah dibuat. Dengan begitu dapat dilihat seberapa besar wilayah jangkauan semua node dan wilayah mana saja yang tumpang tindih. Sleep scheduling dibuat menggunakan optimasi genetic algorithm, dengan tujuan mengurangi konsumsi energi, mengurangi jangkauan node yang tumpang tindih, namun tidak mempengaruhi jangkauan node secara keseluruhan. ========================================================= Wireless Sensor Network (WSN) is a network artchitecture consisting of many nodes that work cooperatively to monitor large environment. Wireless sensor network consist of sensor nodes that are placed scattered in an area, and the base station as a collector of information from all nodes. Nodes that run in the WSN environment operate using batteries, which means that energy at the node is very limited. Then the method needs to be made so that the node can operate longer even though the energy is very limited. One method that can be used is sleep scheduling. In this final project, sensor nodes will be deployed on a grid-shaped area, and a mapping of the coverage area based on the grid has been made. That way it can be seen how much the coverage area of all nodes and any overlapping region. Sleep scheduling is optimized using genetic algorithm, with the aim of reducing energy consumption, reducing the range of overlapping nodes, but does not affect the overall node range.

Item Type: Thesis (Undergraduate)
Additional Information: RSIf 005.1 Oem i-1 • Oemaryoga, Chendra Sena
Uncontrolled Keywords: Wireless Sensor Network, Sleep Scheduling, Genetic Algorithm
Subjects: Q Science > QA Mathematics > QA402.5 Genetic algorithms.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Chendra Sena Oemaryoga
Date Deposited: 14 Aug 2020 06:11
Last Modified: 28 Oct 2020 02:19
URI: https://repository.its.ac.id/id/eprint/78063

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