## 2 Related Works
In each container, as with any IoT platform, the infrastructure was required to deliver information on the subscriber's engagement with the gamification model. Information regarding which user has recycled, the amount of rubbish introduced, the container in which waste has been put, or the container's occupation status, among other things, can be referred to as examples. This data supplies the platform with the required knowledge for executing the gamificationmodel and defining optimum trash collection routes based on the occupation state of the containers and the nearest waste treatment facility, allowing for effective and efficient waste management. Subscribers' behavior was reconstructed using data from their interactions with their city's recycling procedure. The evaluation outcomes of the suggested platform have confirmed the proposal's effectiveness. Additionally, public engagement has grown by 32.2%, while trash volume has climbed by 17.2%. Similarly, the number of garbage collection journeys has decreased by 53.4%. An IoT-based smart fish farm in [21] was created, analyzed, and implemented, including a water recycling technology to reduce water waste. Sensors are critical for increasing water quality in an intelligent fish farm with an automated management system. A proportional integrator-derivative controller, dissolved oxygen concentration, water temperature, water-level ultrasonic, and pH sensors manage the water flow procedure in this aquatic system. Sensor data are gathered and saved as big data on the lab server. These sensors provide feedback to the PID controller, which allows the fish farm to function inside the defined range of operational circumstances. An IoT-based algorithm was suggested in [22]. This article developed a genetic algorithm-based IoT control platform for a straw recycling system, consisting of the IoT's fundamental architecture and the control terminal. The system's energy usage is successfully lowered by improving the energy usage of the core architecture of the IoT. The straw recovery platform's heat energy conversion rate is optimized using a genetic algorithm, and the architecture's original goal is well-achieved. The findings demonstrate that the platform consumes little energy, and the thermal energy conversion rate of the straw recovery system may be significantly increased. The architecture and implementation of this system allow IoT technology to be used in a novel agricultural production mode, which can provide more opportunities and economic advantages for agricultural growth. A weight-based smart recycling system using a single-board computer was developed by [PERSON], [PERSON] [23]. Arduino Uno R3, plastic bins, and load cells were used to design the hardware incorporated with a Wi-Fi module to send the data to the IoT platform, which serves as the cloud storage. A seven-day trial run was conducted at a residential area in Puchong, Malaysia to prove the concept. The output of the test was used to predict the waste yield if the I-Bin system was deployed in other similar residential areas. The average amount of recyclable garbage collected per household was 0.0966 kg. It is estimated that the IBin system would be able to gather 483 kg of trash from ten residential locations. The collection of the bin was done almost immediately once the bins met their threshold value. It increases the efficiency of collection, saves time, and reduces the operating costs for recycling companies. Table 1 compares the existing techniques for the IoT-based smart recycling machines, approaches, benefits and disadvantages. We have observed that there is no absolute way to act reasonably in all load-balancing metrics. For example, some methods check the cost, energy consumption, and utilization, while others disregard these metrics. However, it seems that some parameters are mutually exclusive. Nevertheless, only a few investigations have looked into these two issues. Carbon releases are considered a wellness and ecological threat, whereas energy usage is supposed to be a cost-cutting measure.