不同技术无线传感器网络质量参数的比较分析综述

Q4 Business, Management and Accounting
Tibin Mathew Thekkil, N. Prabakaran
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引用次数: 3

摘要

无线传感器网络(WSNs)用于许多研究工作,特别是处理观测和检测工作的框架。然而,它包含了许多发散优化条件,如网络的能量放纵、丢包率、报告和持续时间。操纵一个创新的无线传感器节点是一项非常艰巨的任务,需要通过目标函数审查大量不同的限制。本研究从IEEE和Science Direct等标准出版物中收集了70篇论文。每一篇论文都包含了各种程序、规则集和优化方法中的各种过程。分类来源于遥感方案、不同协议、优化和支出研究进展。通过无线传感器网络在不同大气环境下对整个分布式工作进行了验证。本综述的陈述研究反映了PDR、NLT、AEED、服务支出、不同研究文献识别准确性等显著性局限性。因此,我们的论文有助于在优化系统之间在WSN上扩展新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative analysis of quality parameters in wireless sensor network with different techniques: a survey
Wireless sensor networks (WSNs) are used for many research works, in particular the framework of processing observation and examination work. Though, it contains many divergence optimisation conditions, such as the network's energy indulgence, packet-loss rate, reporting and duration. Manipulating an innovative wireless sensor node is tremendously demanding mission and entail reviewing a quantity of dissimilar limitation necessary through the objective function. This study examined completely 70 thesis are gathered from standard publications such as IEEE and Science Direct. Each thesis encompasses a variety of process among a variety of procedure, set of rules and optimisations methods. The classification derived from remote sensing scheme, dissimilar protocols, optimisation, and expenditure study progression. The entire distributed works are verified by the WSN among different atmosphere. Presentation study of this review reflects on the eminence limitation like PDR, NLT, AEED, service expenditure, and recognition exactness of dissimilar study documents. Therefore our thesis facilitates to extend new technologies over the WSN among optimisation system.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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