TY - JOUR
AU - Barman, Jyoti Kumar
AB - Waste management is crucial for minimizing environmental impact and improving public health. Each day, a substantial amount of waste is produced through different activities. Although simple, traditional waste collection methods often face challenges such as inefficient routing, unpredictable bin fill levels, and high operational costs. Therefore, there is a need for smart and sustainable waste monitoring and collection systems. This paper presents a smart waste monitoring and collection system that integrates IoT technology, renewable energy sources, and optimal routing algorithms. An innovative integrated smart waste bin and street light assembly is proposed to mitigate the sensor placement issues while also providing additional functionality for area illumination for safety and convenience. The bins are prioritized based on the sensor values, and a collection schedule is prepared. Heuristic algorithms are employed to determine the optimal tour for waste collection. A hardware prototype of the integrated smart waste bin and street light assembly was developed and tested. Simulations are run on virtually placed waste bins in an actual urban environment to test the developed algorithm. The results highlight the system’s capability to offer a sustainable solution to modern waste management challenges.
TI - Design and Development of IoT-Enabled Solar-Powered Waste Bin with Optimal Routing
JO - Transactions of the Indian National Academy of Engineering
DO - 10.1007/s41403-024-00507-1
DA - 2025-03-01
UR - https://www.deepdyve.com/lp/springer-journals/design-and-development-of-iot-enabled-solar-powered-waste-bin-with-xfSdd08MeE
SP - 73
EP - 88
VL - 10
IS - 1
DP - DeepDyve
ER -