A Novel Intelligent Street Light Control System Using IoT

Pattnaik, Saumendra; Banerjee, Sayan; Laha, Suprava Ranjan; Pattanayak, Binod Kumar; Sahu, Gouri Prasad

doi:10.1007/978-981-16-9873-6_13

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…In recent times, an increasing number of urban areas are adopting novel systems that are based on the Internet of Things (IoT) to gather up-to-date information about the city, provide novel services, and enhance energy efficiency. These localities follow the Smart Cities methodology [1,2], which aims to promote sustainable and improved urban living. Examples of Smart Cities applications include technologies for public safety and managing crowd movement in cities, parking solutions [4], accessing information on accessible places [5], controlling household energy consumption [6], as well as community lighting, and utilization of smart grids, water management, waste management [3], healthcare, logistics, and a host of other fields.…”

Section: Introductionmentioning

confidence: 99%

A Smart Waste Management System Framework Using IoT and LoRa for Green City Project

Laha,

Pattanayak,

Pattnaik

et al. 2023

IJRITCC

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Waste management is a pressing concern for society, requiring substantial labor resources and impacting various social aspects. Green cities strive for achieving a net zero-carbon footprint, including efficient waste management. The waste management system deals with three problems that are interrelated: a) the timely checking of the status of bins to prevent overflow; b) checking the precise location of bins; and c) finding the optimal route to the filled bins. The existing systems fail to satisfy all three problem areas with a single solution. To track the overflow of the bin, the proposed model uses ultrasonic sensors, which are complemented with LoRa to transmit the exact location of the bins in a real-time environment. The existing models are not that efficient at calculating the exact bin-filled status along with the precise location of the bins. The Floyd-Warshall algorithm in the proposed model optimizes waste collection using the Floyd-Warshall algorithm to determine the shortest path. Leveraging low-cost IoT technologies, specifically LoRa modules for data transfer, our solution offers benefits such as simplicity, affordability, and ease of replacement. By employing the Floyd-Warshall algorithm with a time complexity of O (n^3), our method efficiently determines the most optimal waste pickup route, saving time and resources. This study presents a smart waste management solution utilising Arduino UNO microcontrollers, ultrasonic sensors, and LoRaWAN to measure waste levels accurately. The proposed strategy aims to create clean and pollution-free cities by addressing the problem of waste distribution caused by poor collection techniques.

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