Load balancing routing under constraints of quality of transmission in mesh wireless network based on software defined networking

Abstract

Load balancing routing and quality of transmission (QoT) aware routing have been increasingly studied in mesh wireless networks (WMN) to improve their performance. For the load balancing routing, the traffic bottleneck in the network can be resolved. However, it can decrease QoT because the routes may pass through multiple hops. On the other hand, the QoT aware routing often improves the QoT of the routes, but it can increase the traffic bottleneck due to the unbalanced traffic load in the network. Therefore, the investigation of load balancing routing taking into account QoT is very essential, especially in the case of a wide and ultra-high speed WMN. In this paper, we propose a load balancing routing algorithm under the constraints of QoT for WMN. Our method uses the principle of the software defined networking (SDN) to choose the load balancing routes satisfying the constraints of QoT. Our performance evaluations using OMNeT++ have shown the effectiveness of the proposed algorithm in improving QoT of the data transmission routes, increasing the packet delivery ratio and the network throughput, decreasing the end-to-end delay.

Design of Ideological and Political Communication Path of Curriculum under the Background of Intelligent Information of New Media

“…e concept of the relevant threshold value is put forward by comprehensively considering the accuracy and completeness to obtain higher filtering efficiency [17], that is, let the students set a relevant threshold value and return only the document resources of ideological and political curriculum higher than this value to the students, namely, given Q and the relevant threshold value β. For any returned document resource C of ideological and political curriculum, its correlation degree is sim(C, Q) > β.…”

Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches

“…Ref. [ 85 ] developed load-balancing solutions to guarantee transmission quality in the wireless ecosystem. This way, links are selected based on composite metrics, signal-to-noise ratio, and probability.…”

A novel and effective method for solving the router nodes placement in wireless mesh networks using reinforcement learning

“…RL has been successfully applied to control protocols in wireless networks, typically routing in WMN [ 25 , 27 , 29 ], topology control in wireless sensor networks [ 37 ], improving the performance of energy-harvesting wireless body area networks [ 38 , 39 ]. In this paper, we apply RL to solve the RNP in WMN.…”

“…This is the motivation for researchers to focus on WMN. Some of the most prevalent subjects that have been implemented include network topology control [ 3 – 7 ], router node placement (RNP) [ 8 – 24 ], optimum routing protocols [ 25 – 29 ], and access point allocation [ 30 – 33 ], with the RNP challenge being the most fascinating. Because the RNP problem is known to be NP-hard, it cannot be solved using conventional algorithms.…”