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Mamatas, Lefteris, Tobias Harks and Vassilis Tsaoussidis. Ben, LâarifSinda, Mohamed Ali Mani, and RachidMbarek, "Comparison of high speed congestion control protocols”, International Journal of Network Security & Its Applications, Vol.4, No.5, pp. Panse, "A Comprehensive Analysis and Comparison of TCP Tahoe, TCP Reno and TCP Lite", International Journal of Computer Science and Information Technologies, Vol. Pradeep Chouksey, "Comparative Study of AOMDV and AODV Routing based on Load Analysis in MANET", International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.5, pp.12-19, 2016 Pooja saini and Meenakshi Sharma, "Impact of Multimedia Traffic on Routing Protocols in MANET", International Journal of Scientific Research in Network Security and Communication, Vol.3, Issue.3, pp.1-5, 2015
#QUALNET SIMULATOR SOFTWARE#
Dubey, "AODV, DSDV Performance Analysis with TCP Reno, TCP Vegas and TCPNJplus Agents of Wireless Networks on Ns2”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. Angelin, "Comparison of Drop Rates in Different TCP Variants against Various Routing Protocols", International Journal of Computer Applications, Vol. Kelly, "Scalable TCP: Improving performance in highspeed wide area networks", ACM SIGCOMM-2003 Computer Communication Review, Vol. S.Floyd, T.Henderson “The NewReno Modification to TCP’s Fast Recovery Algorithm” RFC 2582, Apr 1999. V.Jacobson “Modified TCP Congestion Control and Avoidance Alogrithms”.Technical Report 30,Apr 1990. In Symposium proceedings on Communications architectures and protocols” (SIGCOMM `1988), Vinton Cerf (Ed.). Jacobson, “Congestion avoidance and control”. i-manager’s Journal on Information Technology, Vol.4, Issue.3, pp. Kumar, “Analysis of TCP Variants Over Variable Traffic”. Sen, “Internet of things: applications and challenges in technology and standardization”, Wireless Personal Communication, Vol.58, Issue.1, pp. Gupta, "An Analysis of IoT Congestion Control Policies", in the Procedia Computer Science,Volume 132, pp. From the perspective of this paper, multiple test cases of IoT network clusters are considered to analyze the performance of TCP variants with a scalable approach by varying node density and by varying Maximum Segment Size (MSS).
#QUALNET SIMULATOR SIMULATOR#
QualNet® 6.1 network simulator is used to simulate scalable wired (IEEE 802.3 Ethernet) and wireless (IEEE 802.11 Wireless LAN) IoT network clusters.
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In this paper, three network performance matrices namely Throughput, End-to-End delay and Packet deliver ratio (PDR) are considered to evaluate the performance of TCP Tahoe, Reno and New-Reno in multiple network clusters designed for IoT applications. It is imperative to design an IoT network cluster aided with a reliable transport layer TCP for sending sensor data to a cloud server or to control actuators using HTTP Representational state transfer (REST) APIs. Further, Congestion Avoidance and Control mechanism implemented in TCP makes it more adaptive to various network conditions. Transmission Control Protocol (TCP) is a connection oriented protocol in Transport layer of OSI providing guaranteed service for various Internet of things (IoT) applications like HTTP, MQTT and CoAP (over TCP RFC 8323). In the era of Internet of Things, sensors and actuators equipped embedded devices are seamlessly connected over internet using TCP/IP stack to enable various M2M applications and services for users.