Novel design and performance analysis of WSN node using NRF and ATmega328

Author:

Gupta Ashish,Kumar Rajesh

Abstract

Abstract Designing an efficient wireless sensing network (WSN) node over a remote location is a challenging task in the heterogeneous environment. The two implementation challenges are – first, large distance with comparatively signal coverage and second, power consumption for devices. It is observed that the use of energy harnessing techniques by the research communityhas proven successfully redemption in power consumption for circuits involving antenna, microcontroller and sensor. In present work, a novel schematic design of a low power wireless sensing node has been discussed which is used for connecting different sensors such as moisture and temperature sensor. The design considered the wireless sensor node with a power module, a NRF, an Atmega-328 microcontroller and a GSM module to upload data over the cloud. NRF facilitates long-range communication up to a range of 1000m by using a maximum current consumption of 15mA. The wireless sensor node are key elements in implementing Internet of Things. The performance in terms of power consumption is analyzed for long range communication. Experiment has been designed to transmit with an interval of 15 sec and interval of 60 sec. At the receiver end, the central node GSM sim800A module is used to upload data over the cloud platform Thingspeak. In comparative study with different microcontroller development boards & wireless methods it has been found that the designed WSN node is effective in saving power consumption. The node can act as master or slave and can communicate with several other nodes also.

Publisher

IOP Publishing

Subject

General Medicine

Reference20 articles.

1. inventors; Brocere Electronics Co Ltd, assignee. Ultra low power sub-wireless sensor network (sub-wsn) for Internet of Things (IoT) system;Lai,2019

2. An overview of Wireless Sensor Networks towards internet of things;Kocakulak,2017

3. Wireless sensor networks and the internet of things: selected challenges;Christin,2009

4. Wireless sensor network virtualization: A survey;Khan;IEEE Communications Surveys & Tutorials,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3