A reliable approach to customizing linux kernel using custom build tool-chain for ARM architecture and application to agriculture

Mahendra Swain; Rajesh Singh; Anita Gehlot; Md Farukh Hashmi; Shiv Kumar; Manish Parmar

doi:10.11591/ijece.v9i6.pp4920-4928

A reliable approach to customizing linux kernel using custom build tool-chain for ARM architecture and application to agriculture

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v9i6.pp4920-4928 ◽

2019 ◽

Vol 9 (6) ◽

pp. 4920

Author(s):

Mahendra Swain ◽

Rajesh Singh ◽

Anita Gehlot ◽

Md Farukh Hashmi ◽

Shiv Kumar ◽

...

Keyword(s):

Performance Evaluation ◽

Mobile Phone ◽

Design Tool ◽

Raspberry Pi ◽

Linux Kernel ◽

Tool Chain ◽

Handheld Device ◽

Sensory Data ◽

Framework Design ◽

Cloud Server

<p class="Abstract">ARM processors are receiving more attention as per IoT customized devices are concerned. A novel framework design tool for Linux kernel customization on ARM architecture has been illustrated. The tool is best suit from ARM based platformss like Raspberry pi, Beagle Bone, Intel Edison etc. The proposed techniques uses different tool chains for the kernel customization. The paper represents an integral framework that integrates all the cross compiling tools and simplifies the overall process. The framework has been used for the development of a customized kernel for Raspberry Pi on Ubuntu 14.04 host computer. The custom kernel has been ported in to Raspberry Pi and the performance evaluation has been done. Furthermore, the analysis aims to help users choose and configure their tracers based on their specific requirements to reduce their overhead and get the most of out of them. The testing of customized OS with raspberry Pi device in the field of agriculture. The smart node/mote is designed based on it to deploy in the agriculture field to test its feasibility. The group of nodes data is gathered using ThingSpeak cloud server. The gathered sensory data is analyzed and forecast on farmer’s mobile phone in the form of APP or handheld device for farmer.</p>

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Internet of Things–based smart home system using a virtualized cloud server and mobile phone app

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719879354 ◽

2019 ◽

Vol 15 (9) ◽

pp. 155014771987935

Author(s):

Guo-Ming Sung ◽

Yen-Shin Shen ◽

Jia-Hong Hsieh ◽

Yu-Kai Chiu

Keyword(s):

Internet Of Things ◽

Wireless Communication ◽

Mobile Phone ◽

Smart Home ◽

Near Field ◽

Home Monitoring ◽

Raspberry Pi ◽

Wireless Communication Protocol ◽

Cloud Server ◽

To Receive

This article proposes an Internet of Things–based smart home system composed of a virtualized cloud server and a mobile phone app. The smart Internet of Things–based system includes a sensing network, which is developed with the ZigBee wireless communication protocol, a message queuing telemetry transport, a virtualized cloud server and a mobile phone app. A Raspberry Pi development board is used to receive packet information from the terminal sensors using ZigBee wireless communication. Then, the message queuing telemetry transport broker not only completes transmission of the message but also publishes it to the virtualized cloud server. The transmission can then be viewed through the website using a mobile phone. The designed app combines the application of the virtualized cloud server, client sensors and the database. Verification experiments revealed the measured average response time and throughput of approximately 4.0 s and 6069 requests per second, respectively, for the virtualized web server and approximately 0.144 s and 8866 packets per second, respectively, for the message queuing telemetry transport broker. The designed functions of the mobile phone app are a global positioning system home monitoring, family memo, medical care and near-field communication key. Both interlinkage and handler methods are proposed to facilitate a powerful function without delay in displaying information. The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. It can cater to user needs with superior ease and convenience.

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PVM Emulation in the Harness Metacomputing Framework - Design and Performance Evaluation

2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02) ◽

10.1109/ccgrid.2002.1017144 ◽

2003 ◽

Cited By ~ 7

Author(s):

D. Kurzyniec ◽

V. Sunderam ◽

M. Migliardi

Keyword(s):

Performance Evaluation ◽

Framework Design ◽

And Performance

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IoT Based Bus Tracking System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.35613 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 2889-2893

Author(s):

Miss Payal W. Paratpure

Keyword(s):

Tracking System ◽

Cost Effective ◽

Raspberry Pi ◽

Accurate Estimation ◽

Time Of Arrival ◽

Test Results ◽

Cloud Server ◽

Bus Operator ◽

Gps Device

Tracking of public bus location requires a GPS device to be installed, and lots of bus operators in developing countries don't have such an answer in situ to supply an accurate estimation of bus time of arrival (ETA). Without ETA information, it's very difficult for the overall public to plan their journey effectively. In this paper, implementation of an innovative IOT solution to trace the real time location of buses without requiring the deployment of a GPS device is discussed. It uses Bluetooth Low Energy (BLE) proximity beacon to trace the journey of a bus by deploying an Estimate location beacon on the bus. BLE detection devices (Raspberry Pi 4) are installed at selected bus stops along the path to detect the arrival of buses. Once detected, the situation of the bus is submitted to a cloud server to compute the bus ETAs. A field trial is currently being conducted in Johor, Malaysia together with an area bus operator on one single path. Our test results showed that the detection of BLE beacons is extremely accurate and it's feasible to trace the situation of buses without employing a GPS device during a cost-effective way.

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