Paper Info
Title
Optimal Management of Solid Waste in Smart Cities using Internet of Things
Abstract
Smart cities are benefiting from Internet of Things (IoT) in optimizing their services. Smart waste management systems can provide substantial savings in time, monetary cost, trip length and utilization of vehicles. In this paper, we use the IoT technology to determine the schedule and pathways of waste collection trucks. We discuss our previous work on single truck routing algorithm and develop and simulate two-step heuristic algorithm multiple trucks routing algorithm (MITRA) to discover the ideal route for the management waste fleet, using smart dumpsters and agent-based models. The smart dumpsters are equipped with the sensors that measure levels of waste and a controller to send updates to the central management system using wireless network. Our target is to improve the waste collection process by reducing the congestion on the road, the service time spent and the overall trip length. We developed the MITRA algorithm applying the timing constraint on capacitated vehicle routing problem. MITRA divides the metropolitan area into a set of sectors each containing a number of dumpsters. We guide the routing in waste collection by selecting the order of sectors to be served then then apply genetic algorithm to compute the optimal route to serve the full dumpsters in the sector.
Year
DOI
Venue
2020
10.1007/s11277-019-06738-8
Wireless Personal Communications
Keywords
Field
DocType
IoT in waste management, Smart dumpster, Capacitated vehicle routing problem, Genetic algorithm
Truck,Wireless network,Vehicle routing problem,Computer science,Heuristic (computer science),Operations research,Computer network,Management system,Waste collection,Genetic algorithm,Municipal solid waste
Journal
Volume
Issue
ISSN
110
1
1572-834X
Citations 
PageRank 
References 
2
0.40
0
Authors
4
Name
Order
Citations
PageRank
Sahar Idwan1185.05
Imran Mahmood2176.57
Junaid Ahmed Zubairi3226.42
Izzeddin Matar420.40