Occupancy-Aware Power Saving for Smart Parking IoT Sensors

Coulibaly, Moussa; Errami, Ahmed; Sabir, Essaïd

doi:10.1109/wf-iot48130.2020.9221191

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…The current parking system still uses traditional systems and causes a waste of time for motorists to find parking. In big cities, in shopping centers, in public areas, many drivers complain about the difficulty of finding a parking space [1]. This causes heavy traffic, is timeconsuming, ineffective, and inefficient [2].…”

Section: Introductionmentioning

confidence: 99%

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

Sulistyawan,

Salim,

Abas

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Generally, many parking systems have not implemented a tracking intelligent system with the help of sensor technology and applications combined with the Internet of Things. This creates a lot of problems with the unexpected and irregular overflow of parking volumes. In overcoming the above problems, a study was made that discusses the parking tracking system design with the HC-SR04 ultrasonic sensor intelligent working system using a smartphone and an Internet of Things (IoT) based web application. This parking tracking system will use the main component, namely the ultrasonic sensor and several other components, namely the NODEMCU ESP8266. The Internet of Things will be used in this parking smart work system to provide information to parking users through a web system about the location of vacant parking slots. With this web system, users will be able to use the booking model and see which parking positions are available. The model used is a chip that is programmed and placed in each parking lot so that it can transmit digital information signals to a server that can be accessed in real-time by the user. With the planning of a parking tracking intelligent work system, it is hoped that it can help management of parking usage by users.

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Section: Introductionmentioning

confidence: 99%

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

Sulistyawan,

Salim,

Abas

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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show abstract

“…For example, in the medical domain, [29] reduces network traffic by delaying transmission based on medical relevance, and for environmental sensing, [30] reduces data transmission and adapts sensing rate based on data variability. Examples of application-specific energy optimizations include adaptive sensing rate for car parking applications based on occupancy [31] or energy-efficient IoT nodes for fall detection [32].…”

mentioning

confidence: 99%

Hypnos: A Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes

González‐Pérez

Casteleyn

2022

IEEE Internet Things J.

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Through the Internet of Things, autonomous sensing devices can be deployed to regularly capture environmental and other sensor measurements for a variety of usage scenarios. However, for the market segment of stand-alone, self-sustaining small IoT nodes, long term deployment remains problematic due to the energy-constrained nature of these devices, requiring frequent maintenance. This article introduces Hypnos, an open hardware and software toolkit that aims to balance energy intake and usage through adaptive sensing rate for low-cost Internetconnected IoT nodes. We describe the hardware architecture of the IoT node, an open hardware board based on the Arduino Uno form-factor packing the energy measurement circuitry, and the associated open source software library, that interfaces with the sensing node's microcontroller and provides access to the low-level energy measurements. Hypnos comes equipped with a built-in, configurable, modified sigmoid function to regulate duty cycle frequency based on energy intake and usage, yet developers may also plug in their custom duty/sleep balancing function. An experiment was set up, whereby two identical boards ran for two months: one with the Hypnos software framework and built-in energy balancing function to regulate sensing rate and the other with fixed sensing rate. The experiment showed that Hypnos is able to successfully balance energy usage and sensing frequency within configurable energy ranges. Hereby, it increases reliability by avoiding complete shutdown, while at the same time optimizing performance in terms of average amount of sensor measurements.

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Overview of Smart Parking: Types, Sensors Technologies and Energy Efficiency Strategies

Alaoui,

Coulibaly,

Errami

2024

Lecture Notes in Networks and Systems

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Occupancy-Aware Power Saving for Smart Parking IoT Sensors

Cited by 7 publications

References 7 publications

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

Hypnos: A Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes

Overview of Smart Parking: Types, Sensors Technologies and Energy Efficiency Strategies

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