Design of an Optimal Software-Defined Network for Reducing the Greenhouse Gas Effect

Abstract

Currently, the high-load transmission system uses high energy resources, and due to the utilization of high energy, greenhouse gases are polluted. High load transmission caused more resource usage, causing traffic over the communication channel, and fewer packets were transmitted in more time. So to avoid the issue mentioned above, a novel buffalo-based gossip load balancing routing protocol (BGLBRP). Initially, this research created the desired number of nodes in the software defined network (SDN) environment. Avoid high-load data transmission; the system monitored the transmission with the help of the proposed model. For that, the system identifies the high-load data; it then shares the data into a free hub and performs the load-balancing operation. However, the proposed model needs a lower rate of energy resources for performing the packet transmission operation. The proposed model consumes lower energy about 0.051J, so it reduces greenhouse gas. Moreover, the performance rate of the proposed model was calculated, and a comparison was made through the existing model. In comparison, the proposed model attains a higher parameter rate than the existing models. Consequently, the parameters were measured in terms of node lifetime, communication delay, packet drop, packet delivery rate, and energy consumption. The presented model has recorded a high PDR of 97.5%. Compared to the past works, 10% of PDR has been improved. Subsequently, the communication latency was reduced by 25% than the compared models.