Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput

Abstract

Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Particle Swarm Optimization (MBPSO) approach was adapted to improvements the throughput. Finally, the finding shows that throughput increased by 5.79% from the previous study.

Performance evaluation of the IEEE 802.11n random topology WLAN with QoS application

“…11 Mac layer parameters and used the OPNET network simulation tool to show that the WLAN performance can be improved by fine tuning parameters such as fragmentation threshold, Request to Send (RTS) thresholds and buffer size. The authors in [14] summarized the Modified Binary Particle Swarm Optimization (MBPSO) algorithm to improve the performance of the wireless network random topology. With the used optimization function and the distance between nodes taken into consideration, their result show that the maximum improvement is 8.33%, 5.79% and 17.83% for end to end delay, throughput and packet delivery ratio respectively.…”