Implementation of an smart waste management system using IoT

Haribabu, P; Kassa, Sankit R.; Nagaraju, J; Karthik, R.; Shirisha, N.; Anila, M

doi:10.1109/iss1.2017.8389367

Cited by 34 publications

(11 citation statements)

References 1 publication

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“…The RTC module here is used to set the current date and time. EEPROM is used to retrieve the data from the initial stage [4][5][6][7][8][9][10][11].…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of RFID Based Attendance System

Jyothi*,

Karthik,

Anusha

et al. 2019

IJITEE

Self Cite

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Attendance is taken at various places like schools, colleges for students and login logout time for employees in industries and offices. The existing system is done on paper and it consumes lots of papers and it is of manual work. It has less accuracy. In order to reduce the usage of paper RFID based attendance system is used. It is an automated attendance system where Rfid tags are used. This is the easy way to take the attendance without any physical contact. In this project we use RFID Reader, RFID Tags, LCD display, which are interfaced withATMEGA8 Microcontroller. The Rfid tags are given to the students, with their roll numbers as their tags. When the tag is placed near the reader, the data is transferred to reader due to the radio frequencies. Reader then transfers data to the microcontroller. Microcontroller checks for the data continuously, if any data is received, microcontroller compares the data in data base. It eliminates the duplicate entry of data and reduces errors in time and entries.

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“…The RTC module here is used to set the current date and time. EEPROM is used to retrieve the data from the initial stage [4][5][6][7][8][9][10][11].…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of RFID Based Attendance System

Jyothi*,

Karthik,

Anusha

et al. 2019

IJITEE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Henita Rahmayanti et al [11] in their research, applied smart trash bins to schools, which would be an educational tool to help students understand the type of trash. P Haribabu et al [12] analyzed mobile applications connected to smart trash bins to achieve Smart City goals and save human resources.…”

Section: Related Researchmentioning

confidence: 99%

Smart Trash Bin Model Design and Future for Smart City

Choi

Seo

2021

Applied Sciences

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The trash disposal system, using standard trash bags, has been adopted by the government of the Republic of Korea (ROK) for more than two decades. This has caused a sanitary problem, as well as some secondary pollution. It is possible to solve this problem by deploying more manpower, but considering the manpower and maintenance costs that impose a heavy burden on the local governments who are experiencing tight financial situations, it would not be feasible. Thus, an Internet of Things (IoT)-based Smart Trash Separation Bin model that can reduce the cost of trash separation work has been proposed in this paper. The three efficient designs that respectively use a sensor, image processing, or spectroscope technology are presented. These IoT-based designs can bring significant merit to reducing the manpower costs, as well as the administrative cost involved.

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“…There are various design and implementation level research articles which proposed different approaches to design and implement the waste management system by using various embedded platforms and IoT. Some of the works use monitoring techniques and take the real‐time decision of waste management in a prototyping level is also a motivation of this work [15 –20]. Li‐Hong et al [21] have presented a sensor access scheme for the heterogeneous network by designing a gateway device.…”

Section: Related Workmentioning

confidence: 99%

IoT cloud‐based cyber‐physical system for efficient solid waste management in smart cities: a novel cost function based route optimisation technique for waste collection vehicles using dustbin sensors and real‐time road traffic informatics

Mishra

Ray

2020

IET cyber-phys. syst.

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IoT cloud-based connected smart dustbins (equipped with sensors) are imperative for efficient waste management in smart city. Municipal agencies can reduce the use of both man and machine by cutting down their overall waste collection route distance as well as number of waste collection vehicles (WCVs) by deploying this proposed cyber-physical system for route optimization of WCVs with capacitated vehicle-routing model. A novel cost function is mathematically modelled using data from dustbin-sensors and real-time road-traffic with modified Dijkstra's algorithm for optimisation of WCVs routes. Amount of solid waste in the dustbin (GC in %), rate of the filling (ΔG) and real-time/dynamic road traffic information from Google distance matrix advanced application programming interface (API) are used for estimation of the optimised route for WCVs. Optimisation goal of this work is to reduce both capital expense (CapEx) and operational expense (OpEx) of solid waste collection in the city by cutting the WCV fleet size and reducing overall distance covered by WCVs. The proposed route optimisation technique is analytically simulated for Bhubaneswar smart city and the result shows 30.28% saving in overall WCVs route distance and hence reducing OpEx around 29.07% and CapEx around 26.83% by reducing WCV fleet size.

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Implementation of an smart waste management system using IoT

Cited by 34 publications

References 1 publication

Design and Implementation of RFID Based Attendance System

Design and Implementation of RFID Based Attendance System

Smart Trash Bin Model Design and Future for Smart City

IoT cloud‐based cyber‐physical system for efficient solid waste management in smart cities: a novel cost function based route optimisation technique for waste collection vehicles using dustbin sensors and real‐time road traffic informatics

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