Adaptif Poly Frame PRMA pada Jaringan M2M Kognitif Kapiler

<p class="Abstrak">Komunikasi mesin ke mesin (M2M) pada jaringan kapiler, menggunakan metode transmisi<em> Packet Reservation Multiple Access</em> (PRMA), dan struktur <em>frame</em> data<em> frame</em> biasa, serta skenario komunikasi<em> event driven</em>. Seiring dengan pertambahan perangkat, metode, struktur <em>frame</em> 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 <em>frame </em>baru dan skenario komunikasi baru<em>, </em>berupa <em>Adaptive Poly Frame </em>(APF) serta <em>Scheduler Update </em>(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 <em>slot</em><em> </em>(B), jumlah siklus huni kanal (S), dan Transmisi Sukses<em> </em>PRMA (TS_PRMA). 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%.</p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak">Machine 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 (TS_PRMA). 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</p>