Behavior-based swarm model using fuzzy controller for route planning and E-waste collection
Document Type
Article
Publication Date
3-1-2022
Abstract
Nowadays, because of the increase in consumption of electronic equipment and its resource utilization, household e-waste has been generated gradually. The increase in e-waste generation brought environmental burdens as well as a health risk in several nations. The disposal of e-waste in landfills is not recommended due to some poisonous and contaminated chemicals. The improper collection of e-waste leads to a negative impact on human health and also causes air pollution, as well as the long-term effects on the environment. To address such issues, the behavior-based swarm model using a fuzzy controller (BSFC) is proposed for efficient e-waste collection. The proposed algorithm is employed to solve the problem based on routing associated with the time window for the heterogeneous fleet of the e-waste collection vehicle. The approach is provided for the online system that enables the people to request for the collection of e-waste components and also to solve the vehicle’s routing problem. The optimization result demonstrates the decrease in the collection cost and also the on-time e-waste collection from the household. The method comprises the implementation of e-waste collection requests in China and India for several urban arrangements of buildings and streets. The proposed approach fetches considerable enhancement in vehicle routing plans for the e-waste collection, counting the positive social impacts for the waste collection, particularly in urban regions.
Publication Title
Environmental Science and Pollution Research
First Page Number
19940
Last Page Number
19954
DOI
10.1007/s11356-021-12824-x
Recommended Citation
Batoo, Khalid Mujasam; Pandiaraj, Saravanan; Muthuramamoorthy, Muthumareeswaran; Raslan, Emad H.; and Krishnamoorthy, Sujatha, "Behavior-based swarm model using fuzzy controller for route planning and E-waste collection" (2022). Kean Publications. 647.
https://digitalcommons.kean.edu/keanpublications/647