Assessing the ESP8266 WiFi module for the Internet of Things

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Mesquita, J (Author) Other; Guimaraes, D (Author) Other; Pereira, C (Author) Other; Santos, F (Author) Other; Luis Almeida (Author) FEUP

Conference proceedings International

Title: 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)

Pages: 784-791

23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Politecnico Torino, Torino, ITALY, SEP 04-07, 2018

Indexing

ISI Web of Knowledge - 32 Citations

Scopus - 99 Citations

Other information

Authenticus ID: P-00P-W24

DOI: 10.1109/etfa.2018.8502562

Abstract (EN): The Internet of Things (IoT) is experiencing rapid growth and being adopted across multiple domains. For example, in industry it supports the connectivity needed to integrate smart machines, components and products in the ongoing Industry 4.0 trend. However, there is a myriad of communication technologies that complicate the needed integration, requiring gateways to connect to the Internet. Conversely, using IEEE 802.11 (WiFi) devices can connect to existing WiFi infrastructures directly and access the Internet with shorter communication delays and lower system cost. However, WiFi is energy consuming, impacting autonomy of the end devices. In this work we characterize a recent WiFi-enabled device, namely the ESP8266 module, that is low cost and branded as ultra-low-power, but whose performance for IoT applications is still undocumented. We explore the built-in sleep modes and we measure the impact of infrastructure parameters beacon interval and DTIM period on energy consumption, as well as packet delivery ratio and received signal strength as a function of distance and module antenna orientation to assert area coverage. The ESP8266 module showed suitability for battery powered IoT applications that allow 2-4 days recharge cycles on a 1000mAh battery with seconds-scale transmission intervals.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8