Research Article
Waste Management System Using IoT-Based Machine Learning in University
Table 1
Comparison of the principal characteristics of the proposed algorithms to the state of the art.
| Ref | Algorithm | Goal | Hardware design | GIS | Transmission module | Mobile app |
| [5] | No | Low cost, energy saving | Yes | GPS | Yes | No | [15] | Graph theory | Optimal waste collection | No | GSM/GPS | Yes | No | [16] | Graph theory | Smart waste collection | Yes | LoRa | Yes | No | [17] | No | Automated waste collection | No | No | No | No | [18] | LR and GA | Optimal waste collection | No | NA | No | No | [19] | Heuristic | Optimal waste collection | No | NA | Yes | No | [20] | No | Management | No | No | No | Yes | [21] | No | Management | No | GSM | Yes | No | [22] | No | Low cost, energy saving | Yes | RFID | Yes | Yes | [23] | No | Low cost, energy saving | No | LoRa | Yes | No | [24] | No | Low cost, energy saving | Yes | LoRa | Yes | Yes | Our proposal | Graph theory and machine learning | Optimal waste collection, low cost, and energy saving | Yes | LoRa | Yes | Yes |
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