TCP Performance Enhancement in IoT and MANET: A Systematic Literature Review

Abstract

– TCP operates as a unicast protocol that prioritizes the reliability of established connections. This protocol allows for the explicit and acknowledged establishment and dissolution of connections, the transmission of data without loss of context or duplication, the management of traffic flows, the avoidance of congestion, and the asynchronous signaling of time-sensitive information. In this research, we use the Systematic Literature Review (SLR) technique to examine and better understand the several methods recently given for enhancing TCP performance in IoT and MANET networks. This work aims to assess and classify the current research strategies on TCP performance approaches published between 2016 and 2023 using both analytical and statistical methods. Technical parameters suggested case study and evaluation settings are compared between MANET and IoT to give a taxonomy for TCP performance improvement options based on the content of current studies chosen using the SLR procedure. Each study's merits and limitations are outlined, along with suggestions for improving those studies and areas where further research is needed. This work outlines the basic issues of TCP when it is used in IoT and MANET. It also highlights the recent approaches for TCP performance enhancement, such as machine Learning-based approaches, multi-path TCP, congestion control, buffer management, and route optimization. It also provides the potential for future research directions into the effectiveness of TCP performance in IoT and MANET. The major findings of this review are to provide a thorough understanding of the latest techniques for enhancing TCP performance in the IoT and MANET networks, which can be beneficial for researchers and practitioners in the field of networking.