Baghdad Science Journal (Dec 2021)

Evaluation Method of Mesh Protocol over ESP32 and ESP8266

  • Nur Azzurin Afifie ,
  • Adam Wong Yoon Khang ,
  • Abd Shukur Bin Ja'afar,
  • Ahmad Fairuz Bin Muhammad Amin,
  • Jamil Abedalrahim Jamil Alsayaydehahmad,
  • Win Adiyansyah Indra,
  • Safarudin Gazali Herawan,
  • Arnidza Binti Ramli

DOI
https://doi.org/10.21123/bsj.2021.18.4(Suppl.).1397
Journal volume & issue
Vol. 18, no. 4(Suppl.)

Abstract

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Internet of Things (IoT) is one of the newest matters in both industry and academia of the communication engineering world. On the other hand, wireless mesh networks, a network topology that has been debate for decades that haven’t been put into use in great scale, can make a transformation when it arises to the network in the IoT world nowadays. A Mesh IoT network is a local network architecture in which linked devices cooperate and route data using a specified protocol. Typically, IoT devices exchange sensor data by connecting to an IoT gateway. However, there are certain limitations if it involves to large number of sensors and the data that should be received is difficult to analyze. The aim of the work here is to implement a self-configuring mesh network in IoT sensor devices for better independent data collection quality. The research conducted in this paper is to build a mesh network using NodeMCU ESP 8266 and NodeMCU ESP 32 with two types of sensor, DHT 11 and DHT 22. Hence, the work here has evaluated on the delay performance metric in Line-of-Sight (LoS) and Non-Line-of-Sight (nLos) situation based on different network connectivity. The results give shorter delay time in LoS condition for all connected nodes as well as when any node fail to function in the mesh network compared to nLoS condition. The paper demonstrates that the IoT sensor devices composing the mesh network is a must to leverage the link communication performance for data collection in order to be used in IoT-based application such as fertigation system. It will certainly make a difference in the industry once being deployed on large scale in the IoT world and make the IoT more accessible to a wider audience.

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