مقاله انگلیسی رایگان در مورد سیستم کنترل حسگر بی سیم مبتنی بر شبکه برای آبزی پروری – الزویر ۲۰۱۸

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله سیستم کنترل حسگر بی سیم مبتنی بر شبکه برای آبزی پروری ماهی آب شیرین
عنوان انگلیسی مقاله A wireless sensor network-based monitoring system for freshwater fishpond aquaculture
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۱۰ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۱۳۲ در سال ۲۰۱۷
شاخص H_index ۸۹ در سال ۲۰۱۸
شاخص SJR ۰٫۶۷۶ در سال ۲۰۱۸
رشته های مرتبط مهندسی فناوری اطلاعات، منایع طبیعی
گرایش های مرتبط شبکه های کامپیوتری، شیلات
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مهندسی بیوسیستم – Biosystems Engineering
دانشگاه School of Urban Rail Transit – Changzhou University – PR China
کلمات کلیدی شبکه حسگر بی سیم، آبزی پروری، اکسیژن محلول، ذخیره انرژی، نظارت
کلمات کلیدی انگلیسی Wireless sensor network, Aquaculture, Dissolved oxygen, Energy-saving, Monitoring
شناسه دیجیتال – doi
https://doi.org/10.1016/j.biosystemseng.2018.05.016
کد محصول E10179
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
دانلود رایگان مقاله دانلود رایگان مقاله انگلیسی
سفارش ترجمه این مقاله سفارش ترجمه این مقاله

 

فهرست مطالب مقاله:
Highlights
Keywords
۱ Introduction
۲ System overview and work principle
۳ Design for wireless sensor network unit
۴ Energy saving strategies
۵ Materials and methods
۶ Experimental results
۷ Conclusion
Acknowledgements
References

بخشی از متن مقاله:
Cabled intelligent systems bring with them the complexities of structures, the complications of data measurements and transmission, and a limited scale of application. A wireless sensor network is used to eliminate these disadvantages, however reliability of data transmission and energy saving in a wireless sensor network are two challenges that still need to be addressed. The design information on three types of nodes in a wireless sensor network is described in detail. Tree topology for WSN is adopted to decrease the packet loss rate and improve reliability of data transmission. Allowing sensor nodes to sleep and reorganising the data frames are the two approaches used to achieve energy-saving. The experimental results demonstrate the usefulness of these approaches in solving the challenges.

Introduction

In 2016, the national total output of aquatic products in China was 69 Mt, of which 32 Mt (46%) were freshwater aquatic products. The freshwater aquaculture area was 6.18  ۱۰۵ ha, of which 2.76  ۱۰۵ ha (44.71%) were freshwater fishponds. There is a huge increase in demand for freshwater aquatic products in China. However, the total aquaculture area is rapidly diminishing because of industry’s need for land. For example, the annual national decrease in total aquaculture area was 0.9% in 2015 and 1.4% in 2016 (Wang et al., 2017). To alleviate the situation, some intelligent systems which can contribute to increased production and reduced costs are being applied in freshwater aquaculture to monitor important water environmental variables in real time, such as dissolved oxygen (DO) concentration in water, water temperature, pH etc. (Simbeye & Yang, 2014; Simbeye, Zhao, & Yang, 2014). Siemens Corporation developed a system for monitoring 5 to 12 online water parameters in 2011 (Jawad, Nordin, Gharghan, Jawad, & Ismail, 2017). The American YSI Corporation also developed the YSI5200 aquaculture monitoring system for monitoring six kinds of water quality parameters in 2008. Researchers from the Chinese Academy of Fishery Sciences developed a multi-point online water quality testing system which can simultaneously monitor six water parameters in 2010. Scientists from Jiangsu University in China, developed a distribution monitoring system to determine a variety of key water parameters in real time, and the system had capacity for wireless data transmission in 2011 (Huan, Liu, & Chong, 2014; Huang et al., 2013). However, most of these existing monitoring systems, utilised in freshwater fishpond aquaculture, exchange information between the remote intelligent unit and monitoring computer through cable transmission. Cable communication systems carry many wires which results in a complex system and complications of data measurements and transmission. Moreover, such systems, once deployed, are inconvenient to expand to cover more targets. Further development of the freshwater fishpond aquaculture industry based on a cable communication system is limited, as cable communication systems are more suitable for a simple and small-scale scenario.

ارسال دیدگاه

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *