Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models
Through smart cities, Intelligent Transportation Systems (ITS), the agricultural sector, and wearable devices, the Internet of Things (IoT) has revolutionized several human interests. Through the development of new cluster tasks, the Decision-Making System (DMS) of Cluster Heads (CHs), and improving...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-01-01
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| Series: | International Journal of Intelligent Networks |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603024000204 |
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| author | Yi Yang |
| author_facet | Yi Yang |
| author_sort | Yi Yang |
| collection | DOAJ |
| description | Through smart cities, Intelligent Transportation Systems (ITS), the agricultural sector, and wearable devices, the Internet of Things (IoT) has revolutionized several human interests. Through the development of new cluster tasks, the Decision-Making System (DMS) of Cluster Heads (CHs), and improving the accuracy of traffic prediction and reliability of transportation, the present study intends to improve the energy depletion of IoT devices. The paper explores the subject of data flow optimization using Fuzzy Assisted Cuckoo Search Optimization (FACSO), traffic flow using Gaussian Process Regression (GPR), and CH prediction using the Stochastic Optimization Algorithm (SOA). Optimizing network lifetime while minimizing Energy Consumption (EC) is feasible through the practical application of the SOA, GPR, and FACSO models. Increasing End-to-End Delay (EED), Network Throughput (NT), and energy efficiency can be rendered feasible through a real-time DMS regarding routing employing a novel approach referred to as FACSO. This approach has enhanced the efficacy and reliability of Wireless Sensor Networks (WSN). With up to 500 nodes and an EC of 0.3451 J, the experiment's findings demonstrate that a proposed SOA-FACSO model achieves superior EED. |
| format | Article |
| id | doaj-art-67f32b0a9a7a477989d7778ec412c5b4 |
| institution | OA Journals |
| issn | 2666-6030 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Intelligent Networks |
| spelling | doaj-art-67f32b0a9a7a477989d7778ec412c5b42025-08-20T02:33:01ZengKeAi Communications Co., Ltd.International Journal of Intelligent Networks2666-60302024-01-01520421110.1016/j.ijin.2024.05.001Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic modelsYi Yang0Teaching and Research Support Center, Naval Submarine Academy, Qingdao, Shandong, 266000, ChinaThrough smart cities, Intelligent Transportation Systems (ITS), the agricultural sector, and wearable devices, the Internet of Things (IoT) has revolutionized several human interests. Through the development of new cluster tasks, the Decision-Making System (DMS) of Cluster Heads (CHs), and improving the accuracy of traffic prediction and reliability of transportation, the present study intends to improve the energy depletion of IoT devices. The paper explores the subject of data flow optimization using Fuzzy Assisted Cuckoo Search Optimization (FACSO), traffic flow using Gaussian Process Regression (GPR), and CH prediction using the Stochastic Optimization Algorithm (SOA). Optimizing network lifetime while minimizing Energy Consumption (EC) is feasible through the practical application of the SOA, GPR, and FACSO models. Increasing End-to-End Delay (EED), Network Throughput (NT), and energy efficiency can be rendered feasible through a real-time DMS regarding routing employing a novel approach referred to as FACSO. This approach has enhanced the efficacy and reliability of Wireless Sensor Networks (WSN). With up to 500 nodes and an EC of 0.3451 J, the experiment's findings demonstrate that a proposed SOA-FACSO model achieves superior EED.http://www.sciencedirect.com/science/article/pii/S2666603024000204Internet of thingsOptimizationFuzzy LogicCuckoo SearchObjective functionRouting |
| spellingShingle | Yi Yang Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models International Journal of Intelligent Networks Internet of things Optimization Fuzzy Logic Cuckoo Search Objective function Routing |
| title | Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| title_full | Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| title_fullStr | Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| title_full_unstemmed | Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| title_short | Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| title_sort | adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models |
| topic | Internet of things Optimization Fuzzy Logic Cuckoo Search Objective function Routing |
| url | http://www.sciencedirect.com/science/article/pii/S2666603024000204 |
| work_keys_str_mv | AT yiyang adaptiveswitchingandroutingprotocoldesignandoptimizationininternetofthingsbasedonprobabilisticmodels |