IoT-enabled citizen attractive waste management system

Al-Jabi, Muhannad; Diab, Mohammad

doi:10.1109/it-dreps.2017.8277804

Cited by 22 publications

(10 citation statements)

References 4 publications

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“…(1) for each data packet DP do (2) for each node n i ∈ RT do 3if L-QUAL i,j > � L-QUAL then (4) store node n i into NNL-QUAL (5) if NNL-QUAL � � NULL then (6) discard DP immediately (7) else if DP ∈ CD (8) call Delay Aware Procedure (9) else DH � n j ∈ NNL-QUAL Delay Aware Procedure (10) for each node n i ∈ NNL-QUAL do (11) if PD i,j > � PD req then (12) store node n i into NNPD (13) if NNPD � � NULL then (14) discard DP immediately (15) else if NNPD � � 1 then (16) DH � n j ∈ NHPD (17) else call Reliability Aware Procedure Reliability Aware Procedure (18) for each node n i ∈ NNPD do (19) if PR i,j > � PR req then (20) store node n i into NNPR (21) if NNPR � � NULL then (22) DH � n j ∈ NNPD with highest PR i,j (23) else if NNPR � � 1 then (24) DH � n j ∈ NHPR (25) else DH � n j ∈ NNPR ALGORITHM 1: Efficient Route Election procedure (EREP). Journal of Computer Networks and Communications and buffer size, are taken into consideration to compare the proposed scheme with the current scheme.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Waste management system (WMS) is proposed in [24] that focuses on the social aspects of the waste management systems. WMS uses IoT devices with RFID tags, weight, and ultrasonic sensors to measure the citizen interaction with the WMS.…”

Section: Background Of Internet Of Thingsmentioning

confidence: 99%

“…If none of the nodes fulfills the required reliability demand, then the DH is the node belonging to NNPD having highest PR i,j (lines: [21][22]. If there is a single entry in NNPR, then that node is selected as DH (lines: [23][24]. Otherwise, the node belonging to NNPR with least PT i,j is selected as DH (line: 25).…”

Section: Journal Of Computer Network and Communicationsmentioning

confidence: 99%

See 2 more Smart Citations

A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection

Zeb

Ali

Saleem

et al. 2019

Journal of Computer Networks and Communications

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Internet of Things (IoT) is an emerging technology that offers promising solutions to modernize the traditional systems. It accords promising result in crystallizing smart cities, smart homes, smart industries, and smart environment. This article presents the smart waste management architecture for smart cities and efficient routing technique considering least delay for the architecture. In wireless sensor networks, end-to-end delay is one of the important Quality of Services (QoS) parameter to overcome delay in data communication. In this article, we consider end-to-end delay minimization in smart waste management application. The term “end-to-end delay” is defined as the total time taken by a single packet to reach the destination node. The proposed scheme considers the interference level, the length of the routing path, and the number of hops along the path. The simulation results show that the proposed scheme outperforms current schemes.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Background Of Internet Of Thingsmentioning

confidence: 99%

Section: Journal Of Computer Network and Communicationsmentioning

confidence: 99%

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A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection

Zeb

Ali

Saleem

et al. 2019

Journal of Computer Networks and Communications

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“…The data generated from sensors installed in waste bins are collected on the cloud, and machine learning algorithms are performed to analyze the behavior of people. Some of the notable efforts include the modeling and prediction of regional municipal solid waste generation and diversion using machine learning approaches [31]. Shyam et al [32] present a waste collection management solution based on providing intelligence to waste bins.…”

Section: Related Workmentioning

confidence: 99%

Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities

et al. 2020

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The exponentially growing population, urbanization, and economic development have led to the rising generation of municipal solid waste. Municipal solid waste management is thus a significant hurdle for urban societies as it consumes a large chunk of public funds, and, when mishandled, it can lead to environmental and social hazards. Some of the prerequisites required for effective waste management are the monitoring of bins, timely collection of bins, and prioritization of those areas which produce more solid waste. In this paper, we propose an optimal route recommendation system for waste carriers vehicles to effectively collect solid waste based on the profile of a particular area. This article contributes with a multi-objective optimization approach to generate a route by minimizing the route distance and maximizing the amount of waste. Then, a family of evolutionary methods is employed to solve the proposed objective function and find the optimal route for waste carrier vehicles. The experiment is carried out on the real-world solid waste data of Jeju Island, South Korea. The data is processed to predict the behavior of people of a specified grid location in terms of waste disposal. Therefore, the recommendation system caters to the predicted waste across a set of bins inside the area, and considering the constraints such as total allowed distance and time, proposes a route that is best in terms of distance (fuel consumption) and waste collection. Different use cases are illustrated to signify the proposed system, and results indicate that it can be a step forward for the implementation of smart cities, which is the goal of Jeju Island. INDEX TERMS Waste management, route optimization, smart cities, sustainable development, green projects, Jeju Island.

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“…IoT has been widely evolving for the creation of smart environment, smart cyber world and smart application [4]. Various IoT based application has been reported such as pollution monitoring, waste management, water quality, security etc [5][6][7][8][9][10][11]. This work emphasize on simplicity, low cost and data control.…”

Section: Introductionmentioning

confidence: 99%

Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

Das

Sarma

et al. 2018

MATEC Web Conf.

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This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.

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IoT-enabled citizen attractive waste management system

Cited by 22 publications

References 4 publications

A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection

A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection

Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities

Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

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