IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks
The advent of the Internet of Things (IoT) has revolutionised our interaction with the environment, facilitating seamless connections among sensors, actuators, and humans. Efficient task scheduling stands as a cornerstone in maximising resource utilisation and ensuring timely task execution in IoT s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/16/3/93 |
| _version_ | 1797240998693175296 |
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| author | Ziyad Almudayni Ben Soh Alice Li |
| author_facet | Ziyad Almudayni Ben Soh Alice Li |
| author_sort | Ziyad Almudayni |
| collection | DOAJ |
| description | The advent of the Internet of Things (IoT) has revolutionised our interaction with the environment, facilitating seamless connections among sensors, actuators, and humans. Efficient task scheduling stands as a cornerstone in maximising resource utilisation and ensuring timely task execution in IoT systems. The implementation of efficient task scheduling methodologies can yield substantial enhancements in productivity and cost-effectiveness for IoT infrastructures. To that end, this paper presents the IoT-mist bat-inspired algorithm (IMBA), designed specifically to optimise resource allocation in IoT environments. IMBA’s efficacy lies in its ability to elevate user service quality through enhancements in task completion rates, load distribution, network utilisation, processing time, and power efficiency. Through comparative analysis, IMBA demonstrates superiority over traditional methods, such as fuzzy logic and round-robin algorithms, across all performance metrics. |
| first_indexed | 2024-04-24T18:16:20Z |
| format | Article |
| id | doaj.art-e05dd08dcd3048958e87b328b52cb8f5 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-04-24T18:16:20Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-e05dd08dcd3048958e87b328b52cb8f52024-03-27T13:42:16ZengMDPI AGFuture Internet1999-59032024-03-011639310.3390/fi16030093IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT NetworksZiyad Almudayni0Ben Soh1Alice Li2Department of Computer Science and Information Technology, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, AustraliaDepartment of Computer Science and Information Technology, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, AustraliaLa Trobe Business School, La Trobe University, Bundoora, VIC 3086, AustraliaThe advent of the Internet of Things (IoT) has revolutionised our interaction with the environment, facilitating seamless connections among sensors, actuators, and humans. Efficient task scheduling stands as a cornerstone in maximising resource utilisation and ensuring timely task execution in IoT systems. The implementation of efficient task scheduling methodologies can yield substantial enhancements in productivity and cost-effectiveness for IoT infrastructures. To that end, this paper presents the IoT-mist bat-inspired algorithm (IMBA), designed specifically to optimise resource allocation in IoT environments. IMBA’s efficacy lies in its ability to elevate user service quality through enhancements in task completion rates, load distribution, network utilisation, processing time, and power efficiency. Through comparative analysis, IMBA demonstrates superiority over traditional methods, such as fuzzy logic and round-robin algorithms, across all performance metrics.https://www.mdpi.com/1999-5903/16/3/93Internet of Thingsmistedgecloudload balancescheduling |
| spellingShingle | Ziyad Almudayni Ben Soh Alice Li IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks Future Internet Internet of Things mist edge cloud load balance scheduling |
| title | IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks |
| title_full | IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks |
| title_fullStr | IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks |
| title_full_unstemmed | IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks |
| title_short | IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks |
| title_sort | imba iot mist bat inspired algorithm for optimising resource allocation in iot networks |
| topic | Internet of Things mist edge cloud load balance scheduling |
| url | https://www.mdpi.com/1999-5903/16/3/93 |
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