Abstract

The climatic atmosphere in which cattle live is an essential parameter of their environment because of its critical role in their productivity. An adapted cattle building must help to mitigate the effects of climatic stress and allow the farmer to properly control the climatic atmosphere during the production cycle. The most important factors influencing the climatic atmosphere inside a cattle building are temperature, humidity, and greenhouse gas emissions. We propose a case study for a wireless sensor network model placed on a cattle farm, in which each measurement node “mote” collects environmental data (temperature, humidity, and emission gas), in order to control the building's climate, this data is stored and managed in a remote database. We will present HBase, a NoSQL database management system, based on the concept of distributed storage, a column-oriented database that provides the read/write access to data on the HADOOP HDFS file system in real-time. The storage results presented in this paper are obtained via a java code that can connect with the HBase database, in order to store the received data at every second from each node constituting the measurement system via HTTP requests.

Highlights

  • IntroductionBecause of the connection of millions of devices, we can support today, the Internet of Things is defined as a promising paradigm in the field of advanced technologies, these connected objects spread around us everywhere in the form of sensors connected to the internet through types of communication such as radio frequencies, Bluetooth and Wi-Fi ..., which all physical objects can exchange information with one other

  • Because of the connection of millions of devices, we can support today, the Internet of Things is defined as a promising paradigm in the field of advanced technologies, these connected objects spread around us everywhere in the form of sensors connected to the internet through types of communication such as radio frequencies, Bluetooth and Wi-Fi ..., which all physical objects can exchange information with one other.Over the past decade, we have seen the transition from connected PCs to connected smartphones, and more recently we have seen this transition from connected smartphones to connected objects which are more intelligent and which communicate with each other and with their environment

  • Our work relates to this type of storage as part of our study on improving the living conditions of cattle, in a cattle farm located around the town of Ksar El Kebir - MOROCCO, which we focus on minimizing climatic stress by improving the climatic atmosphere of the cattle building

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Summary

Introduction

Because of the connection of millions of devices, we can support today, the Internet of Things is defined as a promising paradigm in the field of advanced technologies, these connected objects spread around us everywhere in the form of sensors connected to the internet through types of communication such as radio frequencies, Bluetooth and Wi-Fi ..., which all physical objects can exchange information with one other. Today sensors are ubiquitous and generate huge amounts of data, sensors can be found in traffic lights which allow traffic jams to be detected [1], transport trucks equipped with a geolocation sensor [2], the car parks equipped with weight sensors allow the driver to quickly know where there is a free space, the security cameras, agricultural fields and smart homes that can be equipped with motion, light, and temperature sensors [3] All these measurement devices and all these sensors collect and transmit massive data that require storage and analysis at a later date or immediately in order to make the required modifications to computers, mobile terminals, or processes of all kinds.

Related works
Proposed architecture
Choice of the “Hbase” database
Data storage characteristics
HBase data model
Description and storage results
H G area DateTime
Findings
Conclusions
Full Text
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