An Energy-Aware Load Balancing Method for IoT-Based Smart Recycling Machines Using an Artificial Chemical Reaction Optimization Algorithm

dc.authoridJafari Navimipour, Nima/0000-0002-5514-5536
dc.authorwosidJafari Navimipour, Nima/AAF-5662-2021
dc.contributor.authorMilan, Sara Tabaghchi
dc.contributor.authorDarbandi, Mehdi
dc.contributor.authorNavimipour, Nima Jafari
dc.contributor.authorYalcin, Senay
dc.date.accessioned2023-10-19T15:12:02Z
dc.date.available2023-10-19T15:12:02Z
dc.date.issued2023
dc.department-temp[Milan, Sara Tabaghchi] Islamic Azad Univ, Dept Comp Engn, Tabriz Branch, Tabriz 5157944533, Iran; [Darbandi, Mehdi] Eastern Mediterranean Univ, Dept Elect & Elect Engn, Via Mersin 10, TR-99450 Gazimagusa, Turkiye; [Navimipour, Nima Jafari] Kadir Has Univ, Dept Comp Engn, TR-34083 Istanbul, Turkiye; [Navimipour, Nima Jafari] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, Touliu 64002, Taiwan; [Yalcin, Senay] Nisantasi Univ, Dept Comp Engn, TR-34398 Istanbul, Turkiyeen_US
dc.description.abstractRecycling is very important for a sustainable and clean environment. Developed and developing countries are both facing the problem of waste management and recycling issues. On the other hand, the Internet of Things (IoT) is a famous and applicable infrastructure used to provide connection between physical devices. It is an important technology that has been researched and implemented in recent years that promises to positively influence several industries, including recycling and trash management. The impact of the IoT on recycling and waste management is examined using standard operating practices in recycling. Recycling facilities, for instance, can use IoT to manage and keep an eye on the recycling situation in various places while allocating the logistics for transportation and distribution processes to minimize recycling costs and lead times. So, companies can use historical patterns to track usage trends in their service regions, assess their accessibility to gather resources, and arrange their activities accordingly. Additionally, energy is a significant aspect of the IoT since several devices will be linked to the internet, and the devices, sensors, nodes, and objects are all energy-restricted. Because the devices are constrained by their nature, the load-balancing protocol is crucial in an IoT ecosystem. Due to the importance of this issue, this study presents an energy-aware load-balancing method for IoT-based smart recycling machines using an artificial chemical reaction optimization algorithm. The experimental results indicated that the proposed solution could achieve excellent performance. According to the obtained results, the imbalance degree (5.44%), energy consumption (11.38%), and delay time (9.05%) were reduced using the proposed method.en_US
dc.identifier.citation0
dc.identifier.doi10.3390/a16020115en_US
dc.identifier.issn1999-4893
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85148721704en_US
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/a16020115
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5320
dc.identifier.volume16en_US
dc.identifier.wosWOS:000938108400001en_US
dc.identifier.wosqualityN/A
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofAlgorithmsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectalgorithmen_US
dc.subjectinternet of things (IoT)en_US
dc.subjectload balancingen_US
dc.subjectenergy consumptionen_US
dc.subjectsmart recycling machinesen_US
dc.subjectartificial chemical reaction optimization algorithmen_US
dc.titleAn Energy-Aware Load Balancing Method for IoT-Based Smart Recycling Machines Using an Artificial Chemical Reaction Optimization Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication

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