Modeling and Simulation of Multi Adapted Routing Based on Queuing Theory for Energy Consumption in Wireless Network
Abstract
The appropriate organization of waiting lines, sometimes known as queues, is the subject of queuing theory. In the field of queuing theory, the act of constructing a model for the purpose of predicting queue lengths and the amount of time spent waiting. Because the findings are often employed while making grouping choices about the nodes required to deliver a service in a network, the queuing theory included a scheduling for energy consumption as an important consideration. In this sense, the analysis of the causes causing system state to vitality exists on the system is related with the queuing system. A Grouping Based Multi-Routing Adapted (GBMRA) creation protocol with the goal of reducing the amount of energy used by individual nodes when they are in the presence of a network. For the purpose of analyzing the network's energy usage based on queuing theory, we are implementing GBMRA. In wireless networks, one of the most effective ways to save energy is to cluster many nodes together into larger groups. The multi-event sources that were taken into consideration during the construction of the gathering techniques. This article demonstrates the model, which is to choose assets with higher levels of performance and vitality to display in the structure. The GBMRA algorithm, which is responsible for increasing system execution and reduction, caused the show on the system to be delayed. The network is simulated by utilizing use of the network testing system known as NS2. In this article, we have established a model of a social affair-based system by making use of the M/G/1 lined model, and we assess the execution of the proposed contrivance seeing execution characteristics such as the usual amount of vitality used and the mean latency. The settled span configuration set a similar hub degree, and it planned calculations of the wireless network based on theory to simply send messages in the particular four ways of neighbouring hubs. This was done with the intention of reducing the amount of energy that was spent on the parade of the wireless network.
How to cite this article: Sharma S, Fageria OP. Modeling and Simulation of Multi Adapted Routing Based on Queuing Theory for Energy Consumption in Wireless Network. J Adv Res Appl Math Stat 2022; 7(1&2): 18-21.
DOI: https://doi.org/10.24321/2455.7021.202204
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