A Fuzzy Approach for Representative Node Selection in Cross Layer Tcp
نویسندگان
چکیده
A cross-layer based improved Transmission Control Protocol (TCP) protocol ensuring fair throughput and reliability was proposed in the previous investigations. In this protocol, data path was segmented, and representative nodes are maintained in every segment for any TCP connection. A Transmission Controller Module (TCM) is used by the representative node to determine bandwidth and delay in transmission and a Local Acknowledgement (LACK) message is sent to the source. Each LACK’s reception source calculates congestion window’s desired size, based on the forward path bandwidth, and Round Trip Time (RTT) values on forward path thereby avoiding congestion for larger extents, and increasing network data transmission rate. This study proposes to extend TCP. Representative nodes use fuzzy logic concept, dynamically. A node becomes a representative node when its two hop neighbours have poor link quality, high mobility and reduced bandwidth. The fuzzy rule generated in this study ensures increased throughput and reduced delay compared to conventional TCP.
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