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Cloud-Based Scheme for Household Garbage Collection in Urban Areas

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 750))

Abstract

Technical advancements have rapidly increased the population in urban areas. People residing in urban areas are scheduled with regular activities. The time-spend for managing the household cleanliness and garbage disposal on daily basis incurs extra overhead. A key challenge is to provide a proper garbage disposal for houses. In the present scenario, residents have to carefully monitor the garbage bins each day and dispose it when it is full. So, the problem is overflowing of garbage results in bad odour at home and surroundings. This limitation can be addressed by replacing the garbage bins with smart bins and connecting them to a cloud server. The processing entity in the cloud server further runs a shortest path route optimization algorithm and presents the shortest path for every 24 h basis. The employee can utilize this information for the collection of garbage from houses. The prototype of the proposed method of garbage collection is developed.

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Correspondence to Y. Bevish Jinila .

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© 2019 Springer Nature Singapore Pte Ltd.

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Bevish Jinila, Y., Shahzad Alam, M., Dayal Singh, P. (2019). Cloud-Based Scheme for Household Garbage Collection in Urban Areas. In: Peter, J., Alavi, A., Javadi, B. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_47

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