TY - GEN
T1 - WasteMiner
T2 - 2023 IEEE SoutheastCon, SoutheastCon 2023
AU - Zaman, Tarannum Shaila
AU - Islam, Tariqul
AU - Vadla, Sucharan Reddy
AU - Rangu, Uday Kiran
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - An efficient and automated waste collection system can facilitate the overall waste management of any smart city. Many IoT-based techniques are developed to make waste collection system optimized and autonomous. However, none of them considers any situation when IoT-based technique could fail to transfer data due to any unforeseen reasons (e.g, natural calamity, poor maintenance, device failure, connection outage, etc.). In this work, we propose an IoT-based technique named WasteMiner for collecting waste in an efficient way where we also calculate the shortest distances between the waste bins for making the system fuel and time efficient. Moreover, we collect data of waste levels of the bins and apply data mining technique to the collected data for extracting important information. This information help us collecting waste in an efficient way in the case of any system failure in the IoT-based network of WasteMiner. Our experimental results show that WasteMiner is effective and efficient when, i) IoT-based system functions properly, ii) any system failure or communication problem occurs, and iii) if scaled up properly, can be applicable to real-world systems by integrating WasteMiner as one of the key smart city components.
AB - An efficient and automated waste collection system can facilitate the overall waste management of any smart city. Many IoT-based techniques are developed to make waste collection system optimized and autonomous. However, none of them considers any situation when IoT-based technique could fail to transfer data due to any unforeseen reasons (e.g, natural calamity, poor maintenance, device failure, connection outage, etc.). In this work, we propose an IoT-based technique named WasteMiner for collecting waste in an efficient way where we also calculate the shortest distances between the waste bins for making the system fuel and time efficient. Moreover, we collect data of waste levels of the bins and apply data mining technique to the collected data for extracting important information. This information help us collecting waste in an efficient way in the case of any system failure in the IoT-based network of WasteMiner. Our experimental results show that WasteMiner is effective and efficient when, i) IoT-based system functions properly, ii) any system failure or communication problem occurs, and iii) if scaled up properly, can be applicable to real-world systems by integrating WasteMiner as one of the key smart city components.
KW - Data Mining
KW - Frequent Itemsets
KW - IOT
KW - Shortest Distance
KW - Waste collection
UR - http://www.scopus.com/inward/record.url?scp=85159779548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85159779548&partnerID=8YFLogxK
U2 - 10.1109/SoutheastCon51012.2023.10115200
DO - 10.1109/SoutheastCon51012.2023.10115200
M3 - Conference contribution
AN - SCOPUS:85159779548
T3 - Conference Proceedings - IEEE SOUTHEASTCON
SP - 504
EP - 510
BT - SoutheastCon 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 April 2023 through 16 April 2023
ER -