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Erschienen in:
Real-Time Implementation of Enhanced Energy-Based Detection Technique Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

39. Towards the Investigation of TCP Congestion Control Protocol Effects in Smart Home Environment

verfasst von : Pranjal Kumar, P. Arun Raj Kumar

Erschienen in: Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Verlag: Springer Singapore

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Abstract

Due to the proliferation of the smart gadgets and the development of wireless technologies, the number of devices connected to the Internet in the Smart Home Environment (SHE) through WiFi Access Point (AP) is increased. The data traffic generated by these devices leads to an explosive growth of data in the AP. Unfortunately, due to the high data rate, transmission hinders Transmission Control Protocol (TCP) to achieve full bandwidth utilization in the wireless networks. This paper investigates the behavior of the existing congestion control protocols such as TCP Westwood (used in mobile hosts), TCP NewReno (used in Windows XP), TCP Cubic (used in Linux) and Compound TCP (used in Vista and Windows OS) in Smart Home Environment. We comparatively study and analyze the throughput performance of the existing protocols under varying parameters. From the experimental results, it is found that Compound TCP (CTCP) used as congestion control protocol achieves 8% higher throughput and 13% drop in packet loss rate than the existing congestion control protocols.

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Vorheriges Kapitel Human Activity Recognition in Ambient Sensing Using Sequential Networks
Nächstes Kapitel Efficient Information Flow Based on Graphical Network Characteristics
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Metadaten
Titel
Towards the Investigation of TCP Congestion Control Protocol Effects in Smart Home Environment
verfasst von
Pranjal Kumar
P. Arun Raj Kumar
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Print ISBN: 978-981-15-7532-7

Electronic ISBN: 978-981-15-7533-4

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-15-7533-4_39

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