Abstract

The environment and energy are two important issues in the current century. The development of modern society is closely linked to energy and the environment. Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have recently been developed substantially to contribute to the fourth transformation of the power grid, namely the smart grid. WSNs have the potential to improve power grid reliability via cable replacements, fault-tolerance features, large-scale protection, versatility to deploy, and cost savings in the smart grid environment. Moreover, because of equipment noise, dust heat, electromagnetic interference, multipath effects, and fading, current WSNs are making it very difficult to provide effective communication for the smart grid (SG) environment, in which WSN work is more difficult. For the smart system 4.0 framework, a highly reliable communication network based on the WSN is critically important for the successful operation of electricity grids in the next decade. To solve the above problem, a Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) has been proposed based on the real-time behavior of a new Hybrid Bird Optimizer (HBO) model. The presented innovative research and development is a small yet important aspect of continuous critical activities that address one of our society’s major challenges and that reverse the dangerous trends of environmental destruction. This study explores some of the most recent advances in this area, including energy efficiency and energy harvesting, which are expected to have a significant impact on green topics under smart systems in the Internet of things. The experimental results show that the proposed distributed system suggestively enhances network efficiency and reduces the transmission of excess packets for wireless sensor network-based smart grid applications.

Highlights

  • A fourth step of the industrial revolution called the smart system 4.0 framework has been made possible by recent advances in Communications and Information Technology (CIT) [1]

  • The performance of the proposed Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) based on the real-time behavior of new Hybrid Bird Optimizer (HBO) model smart grid wireless sensor applications is evaluated using a Wireless Sensor Networks (WSNs) communication environment modeled in an opportunistic network simulator with 400 mobile wireless devices

  • The PDR of RDSRP and HBO depends on data traffic load for the provided events and offers information of about 97% of the simulation studies showing both routed systems

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Summary

Introduction

A fourth step of the industrial revolution called the smart system 4.0 framework has been made possible by recent advances in Communications and Information Technology (CIT) [1]. For instance, due to cloudy or rainy weather, are a major challenge for power engineers who need to ensure stable electricity by changing the outputs of more controllable generators, such as gas turbines and hydraulic generators For this reason, an intelligent grid technology is a necessary prerequisite for very. The key objectives of the two CITs on the communication side are to make it possible for 4.0 to automate information exchange between different production systems [17] and to ensure highly stable networks in intelligent factories. This paper proposes the Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) based on the real-time behavior of a new Hybrid Bird Optimizer (HBO) model. A Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) has been proposed based on the real-time behavior of a new Hybrid Bird Optimizer (HBO) model.

Literature Survey
Smart Grid Technologies
Security Device
Inspired Bio-Computing Model
Optimization Using Butterfly Mating
Results and Discussion
Conclusions and Future Outcomes
Full Text
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