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Optimizing Throughput and TCP Receive Window with Node Connection in Distributed Fuzzy Computing with Enhanced Bandwidth for High Speed TCP in WSN |
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PP: 459-468 |
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doi:10.18576/amis/13S149
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Author(s) |
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R. Vidhya,
Palanisamy. C,
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Abstract |
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The high speed sensor causes congestion during communication process, so the sender sends data to the receiver. However, the receiver will not send any acknowledgment to the received data packet. The multi-task process cannot reduce the resource utilization. The Proposed Regiment data scheduler (RDS) algorithm is used to monitor the node capacity and the history of the node based on the information. Moreover, it allocates the routing path effectively. It is easy to access TCP and FTP protocols, which are adjustable sop. It also fixes the threshold values. Reaching the threshold value, the nods perform communication. Otherwise, it is difficult to achieve effective communication. High routine Fuzzy computing is proposed to find window size based on the packet loss information and to define the window size rate. It uses queuing scheme to analyse the behaviour of node. That counter value updates the high speed, which is a modification to TCPs congestion control mechanism and TCP connections with large congestion windows. A set of sampling values from sampling algorithm (Th#) are applied to both homogeneous and heterogeneous resources. It reduces congestion or attacker rate and increases the Packet delivery rate.
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