End-To-End Communication Between IoT Devices To Maximize Energy Efficiency Through Optimization And Localization Based On The Bio Inspired Algorithms.

Abstract

Network optimization is often defined as a technique for improving network performance in every environment. Every day, huge amounts of data from different types of devices and applications are fed into the network. In this regard, it is clear that an effective solution for optimizing the IoT network must reduce the traffic generated by the Internet of things, thereby degrading other network services and effectively utilizing network resources. Due to the heterogeneity of applications and device types, IoT devices generate traffic than the cellular network. IoT applications generate less data, but control-level messages generate more traffic when the device is integrated into the application. Therefore, this non-application traffic greatly increases the network load. To overcome this load, therefore, an efficient mechanism is needed for solving and optimizing the message exchange from the control level of the IoT device is required. Network optimization provides several benefits such as faster data transfer rates, data recovery, redundant data deletion, and improve application and network response times. We will confer about the necessity of network optimization and ensure network optimization in the Internet of Things, and then compare algorithms to different network parameters like Throughput, Residual Energy, Normalized Overhead, End to End Delay and Packet Loss Ratio.