A context-aware energy saving information centric (CAES) model for wireless communication network

Abstract

The CASE model improves the traditional wireless communication approach by deploying an energy-efficient information-centric algorithm that also enables the tiny low-powered communication nodes of the wireless network to work efficiently with the context-aware energy-saving interface. CAES introduces buffer optimization and a smart routing process among all the low-capacity tiny nodes. Moreover, the gathering of Context-aware energy-saving information also takes care of the performance as well as the management of the traffic load of the entire wireless network. Toward the objectives of the proposed algorithm, which ensure a high ratio of content delivery with an efficient energy saving and energy utilizing scheme, this paper is trying to design a type of Wi-Fi environment that carry the data packet and delivery services carefully without falling down the connection or losing the data contents. In addition to this, this paper concentrate on the measurement of Expected Production Quality (EPQ) values, using loss and quality functions based on various quality parameters to be calculated as one of the measured parts of this research work that defines the ratio of reliability and efficiency of CAES. Further, the implementation of CAES defines the improvement of this research work in the form of managing various quality of communication parameters such as packets delivery ratio, end-to-end Delay and throughput measurement. This manuscript proposes a novel version of the context-aware routing mechanism in a wireless network since traditional wireless communication protocols like SADODV, RAEED-EA are not vulnerable to offer best of communication services. This work aims to manage common communication quality parameters such as Packet Delivery Ratio, End to End Delay and Throughput to be improved using information-centric route management services under denial-of-service (DoS) attacks by implementing context-aware energy saving (CAES), which simultaneously deploys energy efficiency and buffer optimization. This paper simulates and compare the resulting parameters with traditional protocols which defines the importance and role of CAES model for the future of Communication Technology.