Title: Proficient smart trash can management using internet of things and SDN architecture approach

Authors: T. Vairam; S. Sarathambekai

Addresses: Department of Information Technology, PSG College of Technology, Coimbatore, 641-004, India ' Department of Information Technology, PSG College of Technology, Coimbatore, 641-004, India

Abstract: Most of the metropolitan cities facing the problem of collecting garbage on time. Due to the inadequacy of garbage collection, the trash bin gets overflow and causes various risk such as spreading diseases, unpleasant aroma, ugliness, etc. To evade all these circumstances, this paper addresses the efficient collection of garbage's by implementing IoT based smart trash can system. This system monitor the overall status of all trash cans around the city. Whenever the trash level of bin reaches the threshold level it sends the alert message to the truck driver. It also helps the garbage truck driver by providing him with the shortest path to attend all trash cans in city. IoT based smart trashcan is implemented using Raspberry Pi board with HC SR04 ultrasonic sensor for measuring trash level. Amazon Web Services (AWS) helps in storage of data and sending notifications to the concerned people who are involved in the process of collecting garbage. Managing data traffic in IoT network is difficult task, we also addressed this issue by designing the software defined networking (SDN) for smart trash can system. SDN will further help to improve the performance of our system.

Keywords: software defined networking; SDN; internet of things; IoT; trash bin; Amazon Web Services; AWS.

DOI: 10.1504/IJENM.2019.103154

International Journal of Enterprise Network Management, 2019 Vol.10 No.3/4, pp.241 - 252

Received: 03 Aug 2018
Accepted: 24 Mar 2019

Published online: 21 Oct 2019 *

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