Improved TCP Prediction Congestion in Mobile Ad Hoc Network Based on Cross-Layer and Fuzzy Logic

Improved TCP Prediction Congestion in Mobile Ad Hoc Network Based on Cross-Layer and Fuzzy Logic

MANET

TCP

AODV

DSDV

OLSR

Fuzzy Logic

congestion

Cross-layer.

Mobile ad hoc network (MANET) is among the networks which do not require any infrastructure to put nodes in communication. Due to its own nature, it is used by several applications. Even though it's a network that is extremely challenging and mostly when TCP is applied. In this paper, we have proposed a new improvement in the TCP algorithm that employed fuzzy logic to predict packet loss and avoid congestion. Specifically, we have used tree metrics such as stability, energy, and signal strength to use in fuzzy logic systems. To accomplish our approach, we have established some modifications based on a cross-layer. The results of the relevant simulation performed by NS3 demonstrated that our approach globally improves the performance of TCP in MANET. Precisely reduce the packet overhead and energy consumption also enhance throughput.

Hanin, Moulay Hicham

Amnai, Mohamed

Fakhri, Youssef

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 125-139

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2021-07-28

Copyright (c) 2021 Moulay Hicham HANIN

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article