A Novel Framework for Prevention of Black hole in Wireless Sensor Networks using Deep Belief Network

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Abstract

In the past three decades,WirelessSensorNetwork(WSN)has become aleading area of research. Now days, WSN plays vital role for all kind of humanoid applications like research, automation, robotic industries etc.Most of the researches are contributing through their research works for WSN to simply the infrastructure, data communication, Security and shortest path signal communication. Eventually we come across the WSN issues and stated that Load Balancing, Security and shortest distance for transmission. Artificial Intelligence is the powerful technology for many kinds of applications. In this paper, we used Stochastic Gradient Decent Search (SGD) algorithm for optimizing the WSN signals.
基于深度信念网络的无线传感器网络黑洞预防新框架
在过去的三十年中,无线传感器网络(WSN)已经成为研究的前沿领域。目前,无线传感器网络在研究、自动化、机器人工业等各种类人应用中发挥着至关重要的作用,大多数研究人员通过他们的研究工作为无线传感器网络的基础设施、数据通信、安全和最短路径信号通信做出了贡献。最终我们遇到了WSN的问题,提出了负载均衡、安全性和传输距离最短的问题。人工智能是一项强大的技术,适用于多种应用。本文采用随机梯度体面搜索(SGD)算法对WSN信号进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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