dc.contributor.author |
Manqele, Lindelweyizizwe
|
|
dc.contributor.author |
Adeogun, R
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|
dc.contributor.author |
Dlodlo, M
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|
dc.contributor.author |
Coetzee, Louis
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|
dc.date.accessioned |
2018-03-19T10:01:54Z |
|
dc.date.available |
2018-03-19T10:01:54Z |
|
dc.date.issued |
2017-10 |
|
dc.identifier.citation |
Manqele, L. et al. 2017. Multi-objective decision-making framework for effective waste collection in smart cities. Global Wireless Summit (GWS 2017), 15-18 October 2017, Cape Town, South Africa |
en_US |
dc.identifier.isbn |
978-1-5386-1098-5 |
|
dc.identifier.uri |
http://ieeexplore.ieee.org/document/8300475/
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|
dc.identifier.uri |
DOI: 10.1109/GWS.2017.8300475
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|
dc.identifier.uri |
http://hdl.handle.net/10204/10127
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|
dc.description |
Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the paper. For access to the published item, please consult the publisher's website. |
en_US |
dc.description.abstract |
Metropolitan cities often experience waste collection challenges due to ineffective methods of collection. This paper described criteria and an approach for efficient decision-making for waste collection that will make use of data generated by IoT-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight required for IoT based decision-making algorithms. There is a need for decision-making algorithms to be dynamic so that they can address different levels of data loss inherent in IoT data collection. This paper presents the criteria to be considered and a model for smarter decisions in the smart city as applied to waste collection. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;19647 |
|
dc.subject |
Multi-objectives |
en_US |
dc.subject |
Decision-making |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
Waste collection |
en_US |
dc.title |
Multi-objective decision-making framework for effective waste collection in smart cities |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Manqele, L., Adeogun, R., Dlodlo, M., & Coetzee, L. (2017). Multi-objective decision-making framework for effective waste collection in smart cities. IEEE. http://hdl.handle.net/10204/10127 |
en_ZA |
dc.identifier.chicagocitation |
Manqele, Lindelweyizizwe, R Adeogun, M Dlodlo, and Louis Coetzee. "Multi-objective decision-making framework for effective waste collection in smart cities." (2017): http://hdl.handle.net/10204/10127 |
en_ZA |
dc.identifier.vancouvercitation |
Manqele L, Adeogun R, Dlodlo M, Coetzee L, Multi-objective decision-making framework for effective waste collection in smart cities; IEEE; 2017. http://hdl.handle.net/10204/10127 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Manqele, Lindelweyizizwe
AU - Adeogun, R
AU - Dlodlo, M
AU - Coetzee, Louis
AB - Metropolitan cities often experience waste collection challenges due to ineffective methods of collection. This paper described criteria and an approach for efficient decision-making for waste collection that will make use of data generated by IoT-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight required for IoT based decision-making algorithms. There is a need for decision-making algorithms to be dynamic so that they can address different levels of data loss inherent in IoT data collection. This paper presents the criteria to be considered and a model for smarter decisions in the smart city as applied to waste collection.
DA - 2017-10
DB - ResearchSpace
DP - CSIR
KW - Multi-objectives
KW - Decision-making
KW - Internet of Things
KW - Waste collection
LK - https://researchspace.csir.co.za
PY - 2017
SM - 978-1-5386-1098-5
T1 - Multi-objective decision-making framework for effective waste collection in smart cities
TI - Multi-objective decision-making framework for effective waste collection in smart cities
UR - http://hdl.handle.net/10204/10127
ER -
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en_ZA |