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Adaptif Poly Frame PRMA pada Jaringan M2M Kognitif Kapiler

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 7 No. 5 (2020) · pp. 923–932

DOI
10.25126/jtiik.2020752281
ISSN
2528-6579, 2355-7699
Published
2020-10-08
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id

Abstract

Komunikasi mesin ke mesin (M2M) pada jaringan kapiler, menggunakan metode transmisi Packet Reservation Multiple Access (PRMA), dan struktur frame data frame biasa, serta skenario komunikasi event driven. Seiring dengan pertambahan perangkat, metode, struktur frame dan skenario komunikasi tersebut tidak dapat menangani laju data yang sangat banyak, sehingga terjadi kemacetan yang memperlambat komunikasi. Penelitian ini bertujuan membuat komunikasi M2M yang lancar walaupun perangkat bertambah banyak, dengan membuat struktur frame baru dan skenario komunikasi baru, berupa Adaptive Poly Frame (APF) serta Scheduler Update (SU). APF dan SU dirancang dengan memberikan nomor urut serta prioritas pada data, yang kemudian dioptimasi dengan meningkatkan peluang persaingan MK (O), jumlah siklus huni slot (B), jumlah siklus huni kanal (S), dan Transmisi Sukses PRMA (TSPRMA). Penelitian ini menghasilkan transmisi sukses 92-28%, optimasi transmisi sukses 93-30%, siklus transmisi 1,5-8,1% dan reduksi siklus transmisi 0,9-7,2%.AbstractMachine to machine (M2M) communication in capillary networks, using the Packet Reservation Multiple Access (PRMA) transmission method, and ordinary frame data frame structures, as well as event driven communication scenarios. Along with the addition of devices, methods, frame structures and communication scenarios cannot handle very large data rates, resulting congestion that results in inefficient communication. This research aims to make M2M communication efficient even though the device is multiplying, by creating new frame structures and new communication scenarios, in the form of Adaptive Poly Frame (APF) and Scheduler Update (SU). APF and SU are designed by sequence number and prioritizing data, which is then optimized by increase the chance of MK contestation (O), the number of slot occupancy cycles (B), the number of canal occupancy cycles (S) and PRMA Success Transmission (TSPRMA). This research resulted in 92-28% successful transmission, 93-30% successful transmission optimization, 1.5-8.1% transmission cycle and 0.9-7.2% transmission cycle reduction

Collaboration network of the authors

9 authors · 13 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Diponegoro University
  • University of Technology Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Munawar Agus RiyadiDiponegoro University2
Irawan D SukawatiAffiliation unknown2
Darjat DarjatAffiliation unknown2
Razali NgahUniversity of Technology Malaysia1
Tharek Abdul RahmanUniversity of Technology Malaysia1
Mochammad FactaDiponegoro University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
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	<dc:title xml:lang="id">Adaptif Poly Frame PRMA pada Jaringan M2M Kognitif Kapiler</dc:title>
	<dc:creator xml:lang="id">Arifianto, Eko</dc:creator>
	<dc:creator xml:lang="id">Sofwan, Aghus</dc:creator>
	<dc:creator xml:lang="id">Prakoso, Teguh</dc:creator>
	<dc:description xml:lang="id">Komunikasi mesin ke mesin (M2M) pada jaringan kapiler, menggunakan metode transmisi Packet Reservation Multiple Access (PRMA), dan struktur frame data frame biasa, serta skenario komunikasi event driven. Seiring dengan pertambahan perangkat, metode, struktur frame dan skenario komunikasi tersebut tidak dapat menangani laju data yang sangat banyak, sehingga terjadi kemacetan yang memperlambat komunikasi. Penelitian ini bertujuan membuat komunikasi M2M yang lancar walaupun perangkat bertambah banyak, dengan membuat struktur frame baru dan skenario komunikasi baru, berupa Adaptive Poly Frame (APF) serta Scheduler Update (SU). APF dan SU dirancang dengan memberikan nomor urut serta prioritas pada data, yang kemudian dioptimasi dengan meningkatkan peluang persaingan MK (O), jumlah siklus huni slot (B), jumlah siklus huni kanal (S), dan Transmisi Sukses PRMA (TSPRMA). Penelitian ini menghasilkan transmisi sukses 92-28%, optimasi transmisi sukses 93-30%, siklus transmisi 1,5-8,1% dan reduksi siklus transmisi 0,9-7,2%.AbstractMachine to machine (M2M) communication in capillary networks, using the Packet Reservation Multiple Access (PRMA) transmission method, and ordinary frame data frame structures, as well as event driven communication scenarios. Along with the addition of devices, methods, frame structures and communication scenarios cannot handle very large data rates, resulting congestion that results in inefficient communication. This research aims to make M2M communication efficient even though the device is multiplying, by creating new frame structures and new communication scenarios, in the form of Adaptive Poly Frame (APF) and Scheduler Update (SU). APF and SU are designed by sequence number and prioritizing data, which is then optimized by increase the chance of MK contestation (O), the number of slot occupancy cycles (B), the number of canal occupancy cycles (S) and PRMA Success Transmission (TSPRMA). This research resulted in 92-28% successful transmission, 93-30% successful transmission optimization, 1.5-8.1% transmission cycle and 0.9-7.2% transmission cycle reduction</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2020-10-08</dc:date>
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	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 7 No 5: Oktober 2020; 923-932</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 7 No. 5: Oktober 2020; 923-932</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.202075</dc:source>
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	<dc:rights xml:lang="en">Copyright (c) 2020 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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