Evidence map›Paper›PMID 33743154›Full record

ArticleEnvironmental science and pollution research international2022

Behavior-based swarm model using fuzzy controller for route planning and E-waste collection.

Khalid Mujasam Batoo, Saravanan Pandiaraj, Muthumareeswaran Muthuramamoorthy, Emad H Raslan, Sujatha Krishnamoorthy

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Khalid Mujasam BatooKing Abdullah Institute for Nanotechnology, College of Science, King Saud University, Riyadh, Saudi Arabia. kbatoo@ksu.edu.sa.
Saravanan PandiarajCFY Deanship King Saud University, Riyadh, Saudi Arabia.
Muthumareeswaran MuthuramamoorthyKing Abdullah Institute for Nanotechnology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Emad H RaslanDepartment of Physics, College of Science, King Saud University, Riyadh, Saudi Arabia.
Sujatha KrishnamoorthyDepartment of Computer Science, Wenzhou-Kean University, Wenzhou, 325060, Zhejiang, China.

Funding

Ministry of Education IFKSURG-1437-030
6 · The paper itself

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.

Indexed as

Electronic WasteRefuse DisposalWaste ManagementAlgorithmsChinaWaste Disposal FacilitiesBehavior-based roboticsE-waste collectionE-waste transportationFuzzy controllerSearch and rescueVirtual leaderWEEE

Identifiers

PMID33743154

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