Skip to main content

Cross-Platform Appliance Management and Remote-Control Mobile Application Using REST API Communication

  • Conference paper
  • First Online:
Intelligent Manufacturing and Mechatronics

Abstract

It is vital for us to efficiently use the electric energy in our everyday life. The project is based on three main cores which are the Mobile Application, Server and Micro-Controller that can be installed to their everyday appliances. The solution helps to point out the usage of every appliance and highlight the most consuming appliance. The three main core that are used is Xamarin Form as the Platform for the mobile application, Raspberry Pi 4 as the micro-controller and a Database Server for data storing. The three main cores communicate with each other using the REST API interfaces. The Xamarin Form permits the application to be used in three most used operating systems which are Android, IOS and Windows. The test result of the system assists users to manage their home routine more efficiently to avoid wastage and provides an affordable product that can be used by all layers of community. The project has undergone a user experience test and has proven to alert wastage of appliances in home and thus reduce the electrical usage.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mohammed N, Danapalasingam KA, Saif AM (2018) Design, control and monitoring of an offline mobile battery energy storage system for a typical malaysian household load using PLC. Int J Power Electron Drive Syst 9(1):180–188

    Google Scholar 

  2. Zurer R (2016) Three companies reinventing the energy efficiency business. Conscious Company Media, Boulder

    Google Scholar 

  3. Moktar NH (2019) Semai Budaya Jimat Elektrik dari Bangku Sekolah. UTM Newshub, Johor Bharu

    Google Scholar 

  4. Nagel C (2018) Xamarin.Forms. Professional C# 7 and .NET Core 2.0, pp 1291–1325

    Google Scholar 

  5. Grzmil P, Paszkowska MS, Lukasik E, Smolka J (2017) Performance analysis of native and cross-platform mobile applications. Inform Control Meas Econ Environ Prot 7:50–53

    Google Scholar 

  6. Hajoui O, Talea M (2018) Which NoSQL database to combine with spark for real time big data analytics? Int J Comput Sci Inf Secur 16:1–2

    Google Scholar 

  7. Maksimovic M, Vladimir V, Davidović N, Milosevic V (2014) Raspberry Pi as Internet of Things hardware: performances and constraints. In: Conference for the society for electronics, telecommunications, computing, automatics and nuclear engineering of Serbia (IcETRAN), Vrnjacka Banja

    Google Scholar 

  8. Petrov N, Dobrilovic D, Kavalic M, Stanisavljev S (2016) Examples of Raspberry Pi usage in Internet of Things. In: International conference on applied internet and information technologies, Novi Sad

    Google Scholar 

  9. Sohan SM, Maurer F, Anslow C, Robillard MP (2017) A study of the effectiveness of usage examples in REST API documentation. In: Symposium on visual languages and human-centric computing, pp 53–61

    Google Scholar 

  10. Rest Architectural Constraints. https://restfulapi.net/rest-architectural-constraints. Accessed 01 May 2020

  11. Liew Z (2018) Understanding and Using REST APIs

    Google Scholar 

  12. Bredhold D (2009) The basics of control relays, 108

    Google Scholar 

  13. Ali O, Ishak MK (2020) Bringing intelligence to IoT edge: machine learning based smart CityImage classification using Microsoft Azure IoT and custom vision. J Phys Conf Ser 1529:042076

    Article  Google Scholar 

  14. Ali O, Ishak MK, Zawawi MAMd, Seman MTA, Bhatti MKL, Yusoff ZYM (2020) A MAC protocol for energy efficient wireless communication leveraging wake-up estimations on sender data. In: 2020 17th international conference on electrical engineering/electronics, computer, telecommunications and information technology (ECTI-CON), Phuket, Thailand, pp 45–50

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zaikuan, E.A., Ishak, M.K.B., Ahmarofi, A.A. (2021). Cross-Platform Appliance Management and Remote-Control Mobile Application Using REST API Communication. In: Bahari, M.S., Harun, A., Zainal Abidin, Z., Hamidon, R., Zakaria, S. (eds) Intelligent Manufacturing and Mechatronics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0866-7_45

Download citation

Publish with us

Policies and ethics