无线传感器网络基本介绍

V. Prakash, Suman Pandey, A. Singh
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引用次数: 5

摘要

观测随时间快速变化的动态场景是遥感系统的主要用途。这种行为上的差异被认为是某些外部变量或某些框架结构本身在不可预测的因果关系中的障碍。为了调整这种情况,机器学习过程在处理无意义的更新需求方面被认为是有价值的。此外,依赖于机器学习的方法为提高资产利用率提供了许多可行的答案,并以这种方式提高了传感器布置的预期寿命。本文对无线传感器网络的特点进行了简单的讨论,并与无线自组织网络进行了比较,同时对无线传感器网络在不同领域的各种应用进行了扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Basic Introduction of Wireless Sensor Network
Observing the dynamic scenarios that change quickly with time is the prime utilization of remote sensor systems. This difference in conduct is contemplated to either certain outside variables or impediment of some framework structures itself in unpredicted causality. To adjust such conditions, machine learning procedures are esteemed to be valuable in disposing of the requirement for pointless update. Further, the method dependent on machine learning urges numerous viable answers for boost utilizations of asset and in this manner improves the life expectancy of the sensor arrange. In this paper, simply discussion over wireless sensor network, its characteristics, comparing with wireless ad hoc networks along with various application of wireless sensor network in different fields has been extended.
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