2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献_第10页

IoT Enabled Solar Powered Water Purification System for Rural Areas 基于物联网的农村太阳能水净化系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688336

B. M. L, Rani Fathima Kamal Basha, Kanagaraj Venusamy, Santhiya. M, S. R

{"title":"IoT Enabled Solar Powered Water Purification System for Rural Areas","authors":"B. M. L, Rani Fathima Kamal Basha, Kanagaraj Venusamy, Santhiya. M, S. R","doi":"10.1109/ICMNWC52512.2021.9688336","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688336","url":null,"abstract":"According to research, rather than depending on the unpredictable rain or transporting water from far places, the purification of water from the available water in that particular geographical location is considered as a permanent and best solution. to quench the thirst of the rural areas and to overcome the problem of the drinking water scarcity. For example, purification of sea water or contaminated water in that particular location. Our work is the solution for the above-mentioned problem as it brings a remedy by assembling a water purification system that works on Renewable energy. The purification system works based on the principle of Reverse Osmosis (RO). Solar powered energy is the main source of the purification system. The battery provides the uninterrupted power supply to the system which is connected through a charge controller which prevents overcharging. A Buck boost converter is connected between the battery and the purification unit. The purification unit consists of an air mass motor, reverse Osmosis (RO) system and a water storage tank. The air mass pressure holds out reverse diffusion. The microcontroller 8051 checks water level and the pH value of the pure water in the storage tank and prevents it from overflowing.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115197566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crop Yield Management System Using Machine Learning Techniques 利用机器学习技术的作物产量管理系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688453

Senthilnayaki B, Narashiman D, M. G, Julie Therese M, Devi A, Dharanyadevi P

{"title":"Crop Yield Management System Using Machine Learning Techniques","authors":"Senthilnayaki B, Narashiman D, M. G, Julie Therese M, Devi A, Dharanyadevi P","doi":"10.1109/ICMNWC52512.2021.9688453","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688453","url":null,"abstract":"Farming is the backbone of agriculture country like India. Farmers lose their yield due to lack of knowledge about new technologies and plantation parameters which help them to increase their yield. The proposed system, Aruvi, performs machine learning analysis and applies Ontology-based mapping to assist the farmers in order to increase their yield. Aruvi is basically a chatbot that can mimic a virtual conversation with user (farmer) using regional language (Tamil). Aruvi is trained and made to learn on its own using ontology based mapping. Based on the user query it gives relevant answers, which is more useful for farmers in remote places. Using the proposed system, the user can know about the crops, their atmospheric conditions and suitable soil by querying the system in their own regional language to the chatbot. Another advantage of Aruvi, users can converse with it apart through menus or buttons via text or speech on websites or through mobile apps. Based on the trained dataset and real time scenario the accuracy of the system is 83.25%. This can be improved by collecting the real time conditions in that particular region and training Aruvi using them.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122977721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Comparative Analysis of Localization Techniques and Security Mechanisms in WSN 无线传感器网络中定位技术与安全机制的比较分析

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688549

Sudhakar Avareddy, Rajashree V Biradar

{"title":"Comparative Analysis of Localization Techniques and Security Mechanisms in WSN","authors":"Sudhakar Avareddy, Rajashree V Biradar","doi":"10.1109/ICMNWC52512.2021.9688549","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688549","url":null,"abstract":"Wireless sensor network (WSN) contains spatially distributed independent sensor nodes to cooperatively monitor physical or environmental conditions. There are several research challenges in WSN, among them Localization and Security are more prominent. To spot location of the sensor node, each node can make the installation of GPS, but GPS is costlier and cannot provide exact location of node in an indoor environment. Manually fixing position reference on each sensor node is additionally difficult within the case of deep network. To beat the above drawbacks, in recent years most of the localization techniques make use of beacon nodes (anchor nodes) where only the present position of the beacon nodes must be known. While transformation of knowledge from one node to a different node, we would like our data to be secured from unauthorized person. So for this issue we would like to think about security aspects like encryption and decryption by using several trust key management techniques where each node is trusted by providing the safety keys. In our proposed research work, by considering localization and securing aspects, we develop location-based energy efficient trust aware localized key management protocol and hence during this paper we discuss about the localization techniques and security solutions utilized in wireless sensor networks.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Android App and RFID Based Smart Ration Distribution System 基于Android App和RFID的智能配给系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688465

Avinash N J, K. N. S., Rama Moorthy H, A. M., Chetan R, Sowmya Bhat

引用次数: 1

A Selection of Data Transfer Rate using Deep Learning for QoS-Satisfied Multicast Routing Protocol in Multirate MANETs 基于深度学习的多速率无线网络中满足qos的组播路由协议的数据传输速率选择

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688399

R. Suganya, V. David

引用次数: 0

Energy Detection in Cognitive Radio applications using Logarithmic Square Adaptive Learning 使用对数平方自适应学习的认知无线电应用中的能量检测

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688448

S. Surekha, Nagesh Mantravadi, S. Mirza, Mohammad Zia Ur Rahman

引用次数: 0

Design of Quad-Band Antenna of 3.8 GHz range for Wi-Max Applications 用于Wi-Max应用的3.8 GHz四频天线设计

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688371

Sowjanya Kesana, P. S. Srinivasa Babu, S. Shameem

引用次数: 0

Study and Analysis of Various Intrusion Detection Techniques in Wireless Sensor Networks 无线传感器网络中各种入侵检测技术的研究与分析

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688522

Srividya Putty, N. Lavadya, N. A

{"title":"Study and Analysis of Various Intrusion Detection Techniques in Wireless Sensor Networks","authors":"Srividya Putty, N. Lavadya, N. A","doi":"10.1109/ICMNWC52512.2021.9688522","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688522","url":null,"abstract":"Over the past years, Wireless Sensor Networks has gained significance in real world applications such as Traffic Surveillance, Health care, military and Environmental Phenomena such as Wildlife, pollution, Water Quality Evaluation etc. Even though the WSNs have more prominent features, due to the lack of a centralized monitoring system, the node of WSN is exposed to various security attacks. Hence to run the WSN in a secure manner, there is necessity to detect any kind of intruder through which the network or information can get affected. In this paper, a detailed survey is about the earlier developed Intrusion Detection Approaches in WSNs. Initially, a brief overview about the working mechanism and the possible Intrusion Detection models (Rule based and Anomaly based) are presented. Secondly, a brief overview is given about various security attacks and the possible countermeasures. Thirdly, a detailed survey is presented about the earlier proposed Intrusion detection approaches followed by a comparison of each method. Finally, the possible future directions are suggested towards which the research can be extended.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124169693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

1ϕ Grid Tie Solar PV System with MPPT Controller by using Landsman Converter 采用Landsman转换器的1 φ并网太阳能光伏系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688357

R. Mohan Kumar, C. Kathirvel

{"title":"1ϕ Grid Tie Solar PV System with MPPT Controller by using Landsman Converter","authors":"R. Mohan Kumar, C. Kathirvel","doi":"10.1109/ICMNWC52512.2021.9688357","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688357","url":null,"abstract":"The power generated in the present scenario is not adequate to meet the increase in demand for electricity because of the huge population and industrialization. In order to overcome the impact, an alternative source a like stand-alone solar PV system or single-phase grid-tie system must be implemented. The development of alternative sources of energy like solar, wind, tidal, and geothermal will helps in stand-alone electrical system. These sources are freely available in nature but they are intermittent. Because of intermittent, the output electrical power is also intermittent. This may result in poor efficiency of the system. In order to increase the efficacy of alternative system, concept called Maximum Power Point Tracking (MPPT) is introduced. The MPPT has the power electronic components which will plays a prominent part in increasing the efficiency of the solar PV system. DC-DC converts are used in the MPPT converter module which will give the constant voltage output that is madly needed. Converters like Buck-Boost converter, Zeta converter, and SEPIC converts are more widely used in MPP tracking. But there is an inverse polarity of output current and discontinuity in the current output of the above converter. Also in the Zeta converter, there is a ripple in the output current which results in power quality issues. To overcome these disadvantages, the Landsman converter is introduced which will provide good voltage control and power factor. In a solar PV system, under partial shading conditions also this converter will provide a constant output voltage and improved efficiency. Single-stage DC voltage control and the single sensed entity are used with DC link capacitor for better voltage regulation.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Food Cuisine Classification by Convolutional Neural Network based Transfer Learning Approach 基于卷积神经网络的食物烹饪分类迁移学习方法

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688333

Priyadarshini Patil, Vishwanath C. Burkapalli

引用次数: 0