Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review
One promising paradigm for content-centric communication is Named Data Networking (NDN), which revolutionizes data delivery and retrieval. A crucial component of NDN, producer mobility, presents new difficulties and opportunities for network optimization. This article reviews simulation strategies d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/5/649 |
| _version_ | 1797264174549565440 |
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| author | Wan Muhd Hazwan Azamuddin Azana Hafizah Mohd Aman Hasimi Sallehuddin Maznifah Salam Khalid Abualsaud |
| author_facet | Wan Muhd Hazwan Azamuddin Azana Hafizah Mohd Aman Hasimi Sallehuddin Maznifah Salam Khalid Abualsaud |
| author_sort | Wan Muhd Hazwan Azamuddin |
| collection | DOAJ |
| description | One promising paradigm for content-centric communication is Named Data Networking (NDN), which revolutionizes data delivery and retrieval. A crucial component of NDN, producer mobility, presents new difficulties and opportunities for network optimization. This article reviews simulation strategies designed to improve NDN producer mobility. Producer mobility strategies have developed due to NDN data access needs, and these methods optimize data retrieval in dynamic networks. However, assessing their performance in different situations is difficult. Moreover, simulation approaches offer a cost-effective and controlled setting for experimentation, making them useful for testing these technologies. This review analyzes cutting-edge simulation methodologies for NDN producer mobility evaluation. These methodologies fall into three categories: simulation frameworks, mobility models, and performance metrics. Popular simulation platforms, including ns-3, OMNeT++, and ndnSIM, and mobility models that simulate producer movement are discussed. We also examine producer mobility performance indicators, such as handover data latency, signaling cost, and total packet loss. In conclusion, this comprehensive evaluation will help researchers, network engineers, and practitioners understand NDN producer mobility modeling approaches. By knowing these methodologies’ strengths and weaknesses, network stakeholders may make informed NDN solution development and deployment decisions, improving content-centric communication in dynamic network environments. |
| first_indexed | 2024-04-25T00:24:43Z |
| format | Article |
| id | doaj.art-ae7cb6da20c340249d185b6e72855dd9 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-25T00:24:43Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ae7cb6da20c340249d185b6e72855dd92024-03-12T16:49:49ZengMDPI AGMathematics2227-73902024-02-0112564910.3390/math12050649Mathematical Models for Named Data Networking Producer Mobility Techniques: A ReviewWan Muhd Hazwan Azamuddin0Azana Hafizah Mohd Aman1Hasimi Sallehuddin2Maznifah Salam3Khalid Abualsaud4Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi 43600, MalaysiaFaculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi 43600, MalaysiaFaculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi 43600, MalaysiaFaculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi 43600, MalaysiaDepartment of Computer Science & Engineering, College of Engineering, Qatar University, Doha 2713, QatarOne promising paradigm for content-centric communication is Named Data Networking (NDN), which revolutionizes data delivery and retrieval. A crucial component of NDN, producer mobility, presents new difficulties and opportunities for network optimization. This article reviews simulation strategies designed to improve NDN producer mobility. Producer mobility strategies have developed due to NDN data access needs, and these methods optimize data retrieval in dynamic networks. However, assessing their performance in different situations is difficult. Moreover, simulation approaches offer a cost-effective and controlled setting for experimentation, making them useful for testing these technologies. This review analyzes cutting-edge simulation methodologies for NDN producer mobility evaluation. These methodologies fall into three categories: simulation frameworks, mobility models, and performance metrics. Popular simulation platforms, including ns-3, OMNeT++, and ndnSIM, and mobility models that simulate producer movement are discussed. We also examine producer mobility performance indicators, such as handover data latency, signaling cost, and total packet loss. In conclusion, this comprehensive evaluation will help researchers, network engineers, and practitioners understand NDN producer mobility modeling approaches. By knowing these methodologies’ strengths and weaknesses, network stakeholders may make informed NDN solution development and deployment decisions, improving content-centric communication in dynamic network environments.https://www.mdpi.com/2227-7390/12/5/649named data networkingproducer mobilitysimulation methodsperformance optimizationmobility modelsns-3 |
| spellingShingle | Wan Muhd Hazwan Azamuddin Azana Hafizah Mohd Aman Hasimi Sallehuddin Maznifah Salam Khalid Abualsaud Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review Mathematics named data networking producer mobility simulation methods performance optimization mobility models ns-3 |
| title | Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review |
| title_full | Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review |
| title_fullStr | Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review |
| title_full_unstemmed | Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review |
| title_short | Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review |
| title_sort | mathematical models for named data networking producer mobility techniques a review |
| topic | named data networking producer mobility simulation methods performance optimization mobility models ns-3 |
| url | https://www.mdpi.com/2227-7390/12/5/649 |
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