Keywords : Internet of Things

A Review on Data protection and privacy in Fog Computing Network

Babitha M N; Siddappa M

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICIES-2021 4S, Pages 1-5
DOI: 10.47392/irjash.2021.101

Fog computing involves processing at network edge before the data is moved to core network or centralized clouds. Especially with grow of billions of     IoT devices, Fog computing processing at network edge has many advantages in the form of efficient data processing, ability to react the event quickly, reduction in networking bandwidth and reduction in storage size at cloud etc. The advantages come with a risk in terms of data security and information leakage. With computing at network edge, the breach on privacy of data generator is also a severe risk. These works studies the existing solutions for information protection in and secure information processing as well as load balancing at network edges of Fog computing network. The goal of this work is to identify the open areas in information protection and load balancing on Fog computing network.

Health Monitoring System Using IOT Sensor

Mr. Dinesh; Mr. Meiyarasan; Mr. Prabu

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue 4, Pages 83-89
DOI: 10.47392/irjash.2021.119

The Artificial intelligence (IoT) is indeed a technology that is used in a wide range of applications, like health monitoring. It makes it possible for human wellbeing integrity – to be hosted in the system, hospital stays for standard routine exams to be shortened, and, most importantly, wellbeing to be tracked and illness treated either by doctor anywhere at time. Detectors developed an IOT-based medical monitoring system which tracked body temp, breathing oximetry, and environment humidity and temperature, all of which have been shown through an LCD in the document. The above sensed data are then wirelessly transmitted to a healthcare provider. These data are then delivered to an approved personal smart phone compatible with an IOT platform. The specialist then diagnoses the disease and the patient's health status depending on the principles received.

AgriGeek - A Mobile Application based on Smart Farming Hybrid Monitoring System

Karthikraj H; Kavinraja A S; Kishore Karthi; Sree Poornalinga K

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 6, Pages 11-14
DOI: 10.47392/irjash.2020.30

In olden days our ancestors followed an effective seasonal method for traditional agriculture. But due to changes in the climatic conditions and natural disasters, the seasonal method is not working effectively nowadays. Internet of Things is trying to do smart farming and it’s becoming a trend now. But, research shows that the smart farming is degrading the quality of farming and agriculture. In order to provide a quality farming, we propose a new dynamic clustering and data gathering system for harnessing the IoT in agriculture. This paper provides a new IoT based Smart Farming using Hybrid Monitoring System called the AgriGeek, supported with a mobile interfaced application which improves the efficiency of smart farming. AgriGeek helps the farmers to remotely monitor and control their farmland, harvested crops and farming equipment through mobile phones. A well-connected farming network has been created for knowledge sharing among the farmers by measuring agri-related information like temperature, humidity, soil PH, soil

IoT Based Smart Irrigation for Multi Cropping System

Prakash T; Arun G; Arun Kumar B; Deepan S; Kalyana Venkata Ramanan

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 4, Pages 7-12
DOI: 10.47392/irjash.2020.20

An IoT based smart programmed multi cropping water system control gadget has been intended to encourage the automatic water supply of adequate water from a sump or well to field or multi cropping crops in all agricultural season. One of the main objective of this project is to avoid manpower for every irrigation purposes with proper interval based on multi cropping system. The technique utilized is to consistently monitor the real time gap and crop duration, fertilizer duration for feed to cropping system. And also how much water is required for each different kind of crops in multi cropping system. The pump motor will operate based on the microcontroller system output. The different valve system will operate by proper relay driver system for dripping the individual cropping system. The exclusive android application will help and monitor the real scenario for dripping system. The application is running based on the customer input data, once owner feed the data will stored in cloud and the microcontroller will get the data from cloud and control the valve systems. The manual setting system also included in this gadget. The arduino board is specially designed circuit board for programming and prototyping with ATMEL microcontroller. The microcontroller used in this arduino is ATmega 328 which is in-built in arduino board and the coding are done in embedded C.