Assessing the ESP8266 WiFi module for the Internet of Things

Mesquita, João R.; Guimarães, Diana; Pereira, Carlos; Santos, Frederico; Almeida, Luís

doi:10.1109/etfa.2018.8502562

Cited by 107 publications

(44 citation statements)

References 10 publications

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“…For our prototype ESP8266 ESP-12S module is operated in modem sleep mode, in which the WiFi modem is switched off when any transmission isn't happening. In [23] authors assess the current consumption be 27.0 mA, for transmissions at every 1 second in modem sleep mode. The battery connected to power up this module could be charged up directly by connecting a universal serial bus (USB) cable, • Accelerometer (ADXL345) [25]: The accelerometer is utilized to recognize a pothole gesture (three times nodding) performed by the two-wheeler rider.…”

Section: Components Used and Specifications In Smart Helmetmentioning

confidence: 99%

“…The choice of 1 second transmit interval was based on[23]'s extensive power analysis for the ESP8266 module, which helped us to draw a theoretical power budget while planning the components of the prototype. One can choose a longer/shorter transmit interval depending on the device's power usage constraints, or if wanted to collect more pollution data samples per unit time.…”

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confidence: 99%

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SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring

Singh

Chandna²,

Upadhyay

2019

EAI Endorsed Trans IoT

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In a country with an extensive road network, it is very tough for authorities to identify and repair the potholes on time, which emerge due to casual wear and tear of the road. These potholes are dangerous for unsuspecting high-speed vehicles and results in multiple life-threatening accidents year-round. Apart from potholes, another severe concern about the time spent on roads is air pollution. Breathing the polluted air, mainly containing the particulate matter that has a diameter of fewer than 2.5 micrometers, is toxic to humans. In this work, we have judiciously designed an Internet of Things based smart helmet, which uses crowdsourcing to report potholes and collect crucial on-road air pollution data so that a person could avoid risk to life and health. We have also introduced the novel concept of remembrance factor and severity index, which could be useful in dealing with the stale and invalid pothole data in the database.

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Section: Components Used and Specifications In Smart Helmetmentioning

confidence: 99%

mentioning

confidence: 99%

SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring

Singh

Chandna²,

Upadhyay

2019

EAI Endorsed Trans IoT

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“…In 2012 S. Sharafeddine et al [6] presented a scatternet formation algorithm for Bluetooth networks with a non-uniform distribution of devices. The authors presented a new scatternet formation protocol called BlueHRT (Bluetooth Hybrid Ring Tree).…”

Section: Related Workmentioning

confidence: 99%

“…WiFi is probably the most employed technology for WSN. Nonetheless, the available WiFi antennas for Arduino nodes have coverage of tens of meters [6]. This is insufficient to communicate the nodes in big gardens.…”

Section: Introductionmentioning

confidence: 99%

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

Parra

Marín²,

Mauri³

et al. 2019

NPA

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The monitoring of different parameters in the smart garden environment requires thousands of nodes and actuators. They form a multi-hop communication network. The scatternets formed with Bluetooth protocol is a communication solution. However, there is no current algorithm that considers the different capabilities of the devices (sensors or actuators) and assigns a role according to these capabilities. In this paper, we present a network topology formation algorithm for role assignment and connection establishment which considers the capabilities of the devices and use slave-slave Bridge to communicate the piconets. We design the algorithms needed for this protocol and test it. We have simulated the algorithms in order to evaluate the time needed for role assignment and to establish the first connections of the piconet. The results include different scenarios composed by one or two masters and one to seven slaves. In addition, we evaluate the established connections in piconets and bridges in a real case of the smart garden sensor network. Finally, we present the changes in the piconet connections after the deployment of two nodes in an existing network.

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“…Its specifications are 32-bit RISC CPU. A 64 KiB of instruction RAM, 96 KiB of data RAM and WEP or WPA/WPA2 authentication, or open networks [23].…”

Section: Introductionmentioning

confidence: 99%

Integrated healthcare monitoring device for obese adults using internet of things (IoT)

Gupta¹,

Parikh²,

Swarnalatha³

2020

IJECE

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Obesity is a global epidemic, often considered an impending disaster for the world’s population. Healthcare organizations and professionals repeatedly emphasize the negative impacts on obesity in the development of cardiovascular diseases, hypertension and diabetes. The continuous monitoring of physiological parameters; namely SpO2, blood pressure, body temperature and pulse rate are imperative for obese adult patients. IoT is a dynamic field, used extensively in all fields: agriculture, automobile, manufacturing and retail industry primarily for automated remote real-time monitoring. This paper focuses on the implementation of IoT in the healthcare industry for monitoring and evaluating health conditions of obese adults, along with emphasis on the importance of medical data storage. Furthermore, a device is developed with a novel design and system, which not only allows real-time monitoring but also the storage of medical records for multiple patients simultaneously. The device facilitates measurements of these parameters using an Arduino environment and then transmits the data onto an IoT dashboard using a Wi-fi module for remote monitoring for healthcare professionals. The main aim is to provide a suitable device recommended by doctors for patients suffering from obesity, such that doctors can examine patient’s health trends over a period from the stored data for monitoring any changes that could be a symptom of an underlying unnoticed health condition.

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Assessing the ESP8266 WiFi module for the Internet of Things

Cited by 107 publications

References 10 publications

SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring

SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

Integrated healthcare monitoring device for obese adults using internet of things (IoT)

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