Path: TopProsiding Seminar NasionalSENATEKSENATEK 2017TEKNIK INFORMATIKA

ANALISIS UNJUK KERJA PROTOKOL SPRAY AND FOCUS DENGAN VARIASI PERHITUNGAN TRANSITIVITY PADA JARINGAN OPORTUNISTIK

PERFOMANCE OF A SPRAY AND FOCUS ROUTING PROTOCOL WITH TRANSITIVITY VARIATIONS CALCULATION IN OPPORTUNISTIC NETWORK

Proceeding from jhptump / 2017-11-29 12:01:40
Oleh : Raymond Apriyogi Diki Putra, Bambang Soelistijanto, Universitas Sanata Dharma Yogyakarta (raymond.apriyogi@gmail.com)
Dibuat : 2017-11-06, dengan 1 file

Keyword : Duration; Frequency; Last Encounter; Opportunistic Network; Spray and Focus; Transitivity

Jaringan Oportunistik adalah kondisi dimana tidak tersedianya end-to-end path pada jaringan karena jalur antara penerima dan destination setiap saat bisa berubah dan Delay yang tinggi. Untuk mendistribusikan pesan pada Jaringan Oportunistik, penulis menggunakaan Routing Protokol Spray and Focus dan mengevaluasi Protokol Rounting Spray And Focus jika transtivity dihitung berdasarkan (kontak terakhir, sering kontak, dan lama kontak). Dari hasil penelitian ini setelah membandingkan beberapa kondisi skenario, Spray And Focus dengan pendekatan Frequency Encounter Transitivity berhasil meningkatkan kinerja khusus nya pada pergerakan Random Waypoint dan BusMovement. sementara Spray And Focus dengan pendekatan Duration Encounter Transitivity menunjukan perbaikan kinerja pada pergerakan manusia(haggle4-Cam-imote dan MIT Reality Mining) Hal ini dikarenakan selain manusia memiliki pola bergerak berdasarkan point of interest, manusia memiliki pola pergerakan yang lambat dan cenderung menetap pada tempat yang sama untuk waktu yang lama sehingga sesuai dengan pendekatan Duration Encounter Transitivity.

Deskripsi Alternatif :

Opportunistic Network is is the network where end-to-end path between source and destination never exist because the links are Intermittently connected and high latency. To distribution message in Opportunistic Network author use Spray and Focus routing protocol to evaluate that routing protocol if the transitivity calculated based on last encounter time, frequency encounter, and duration encounter the node with destination. From this research, Spray and Focus with approach frequency encounter show good performance especially in Random Waypoint and BusMovement this is because in random movement each node recording how many the node encounter then that data record will change the previously random pattern be into more patterned. And for BusMovement, it cause the bus is have a pattern where the bus have coordinate to start, stop, then move to next coordinate. It means more frequencies the node encounter the destination then, that node is the good relay for find destination. Spray and Focus with Duration Encounter Transitivity show better performance in human trace(haggle4-Cam-imote and MIT Reality Mining) it cause human moving based point of interest and the human is have a pattern to stay in the same place for long time according to the approach of Spray and Focus with Duration encounter Transitivity.

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