Analysis of energy efficient and network traffic delay in wireless networks using channel aware routing. Issue 12 (13th August 2020)

• Record Type: Journal Article
• Authors: Manivannan, R.; Chinnadurai, M.
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 31:Issue 12(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-13
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.4089
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: This article studies different analysis metrics of wireless networks using channel aware routing protocol. During communication the following characteristics are important performance metrics like network traffic delays and energy efficient. Energy Efficient is an important solution with limited buffer capacity and life time of battery in wireless environment. The status of each node can be identified by using co‐channel forwarding mechanism. The traffic delays can be measured by using Q‐Learning random early method and routing can be optimized by channel aware routing. The transmission changes in one node to another can be monitored by router database and energy level can be verified by additional changes in wireless network nodes. The network reliability is improved by reducing the communication delay, which uses various traditional routing protocols. Based on the demand of communication protocols, the router is designed to optimize the best network model. Based on the problem formation of open vehicle routing technique, it proves inherently NP‐hard. If it has reduced computation overhead, it will not perform well with the large scale framework. Therefore, the channel aware routing technique improves the performance by increasing the reliability of the network. The previous results are shown that efficient energy utilization and network traffic delays encountered the major and accuracy results are in below 60% In this article, we formulate to achieve analysis the energy performance and reduced traffic delay using co‐channels stochastic optimization procedure. The co‐channel method used to check various analytical bounds and check all the nodes are uniformly shares the energy level. The mathematical analysis report provides uniform distribution energy values and traffic delays. The simulation results are shows that efficient energy utilization and network traffic delays in wireless networks 75% achieved.