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"Congestion sering terjadi pada sebuah jaringan yang menyebabkan beberapa gangguan, seperti packet loss dan delay. Congestion di jaringan nirkabel sensor bawah air dapat disebabkan oleh jarak antar node dan tingkat kedalaman posisi node. Pada tesis ini dilakukan evaluasi efek congestion window terhadap variasi kedalaman, data rate dan jumlah node sensor yang diterapkan di lingkungan jaringan nirkabel sensor bawah air. Penelitian dilakukan dengan melakukan simulasi menggunakan aplikasi Network Simulator (NS-3), NetAnim dan Gnuplot. Simulasi dilakukan dengan melakukan eksperimen dengan variasi parameter data rate, luas area dan jumlah paket. Simulasi tingkat kedalaman posisi node dari 10–100 meter terlihat bahwa throughput yang dihasilkan mencapai maksimum terjadi pada congestion window 120 Bytes sebesar 50,3467 bps. Data rate yang berkisar dari 80 – 120 bps menunjukkan bahwa throughput mencapai nilai maksimal 67,84 bps. Semakin banyak node yang digunakan maka throughput yang dihasilkan akan semakin kecil. Dari percobaan yang dilakukan menunjukkan bahwa throughput mencapai nilai maksimal ketika node berjumlah 10 dan 15 node.

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Congestion often occurs on a network that causes some disorders, such as packet loss and delay. Congestion in underwater sensor networks may be caused by the distance between nodes and the node depth level position. This thesis evaluated the effect of congestion window to depth variations in underwater wireless sensor network environment. Research carried out by building a simulation using Network Simulator application (NS-3), NetAnim and Gnuplot. The simulation experiment was done by variying the parameters of data rate, size of area and number of packets. Simulation with depth variation of node position 10-100 meters show that the throughput reaches a maximum value occurs in congestion window 120 Bytes of 50.3467 bps. Data rate ranges from 80-120 bps show that the throughput reaches a maximum value of 67.84 bps. The greater nodes are used in the simulation, the throughput will be worse. From the experiments was conducted show that the throughput reaches the maximum value when the node numbered of 10 and 15 nodes."

"Internet-based speech recognition applications prefer using TCP to ensure reliable speech data delivery. TCP-based speech recognition can be designed to push recognition updates on the fly, without waiting for all speech data to fully arrive at the server. We propose an ns-3-based emulation platform to evaluate the performance of TCP-based speech recognition. The server and the client are connected to the simulated network using a tap bridge. The real-time performance of full-duplex speech recognition is measured based on data size, loss rate, and propagation delay. For all our data samples, the application exhibits good performance when the propagation delay is 120 seconds and the loss rate is less than 0.3%, as well as when the propagation delay is 50 seconds and the loss rate is less than 0.5%."