Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach
Modern communication networks are getting more advanced and complex. Therefore, complex systems become a new field for researchers to explore how aspects of a system give rise to the collective behaviors of the system and how the system interacts with its environment. The behavior of a complex sys...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/53562/ http://eprints.usm.my/53562/1/Improving%20The%20Understanding%20Of%20The%20Dynamic%20Properties%20Of%20Advanced%20Communication%20Networks%20By%20Using%20Agent-Based%20Modeling%20Approach_Nur%20Syazana%20Mat%20Yusof_E3_2018.pdf |
| _version_ | 1848882563778609152 |
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| author | Mat Yusof, Nur Syazana |
| author_facet | Mat Yusof, Nur Syazana |
| author_sort | Mat Yusof, Nur Syazana |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Modern communication networks are getting more advanced and complex. Therefore, complex systems become a new field for researchers to explore how aspects of a system give rise to the collective behaviors of the system and how the system
interacts with its environment. The behavior of a complex system is how network constituent act together to form the behavior of the whole, not only the behavior of the
constituent aspects. Such a complexity can be seen in the many types of advanced communication networks such as wireless ad-hoc network, mobile sensor network, and cognitive radio networks. In these networks, complexity and unpredictable arise from the mobility, limited bandwidth, latency, interference from neighboring networks, and typological changes. In addition, mobile stations in ad-hoc networks are expected to be
autonomous in making their own decision and to cooperate with other mobile stations in organizing the network. This rising complexity of the communication networks has a profound implication for modeling and simulation. As the networks are becoming more complex, testing and evaluation of the design and implementation are becoming more difficult. There are many existing models used to depict complex networks. This project
use new modeling and simulation approach, which is the agent-based modeling approach. Thus, this project will go through a software model named as Netlogo to aid in understanding and conceptualizing about this project. The results show that agent-based modeling is a better model compared to traditional models such as Swarm and MASON, especially when modeling complex communication networks. |
| first_indexed | 2025-11-15T18:36:55Z |
| format | Monograph |
| id | usm-53562 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:36:55Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-535622022-07-25T02:26:03Z http://eprints.usm.my/53562/ Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach Mat Yusof, Nur Syazana T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Modern communication networks are getting more advanced and complex. Therefore, complex systems become a new field for researchers to explore how aspects of a system give rise to the collective behaviors of the system and how the system interacts with its environment. The behavior of a complex system is how network constituent act together to form the behavior of the whole, not only the behavior of the constituent aspects. Such a complexity can be seen in the many types of advanced communication networks such as wireless ad-hoc network, mobile sensor network, and cognitive radio networks. In these networks, complexity and unpredictable arise from the mobility, limited bandwidth, latency, interference from neighboring networks, and typological changes. In addition, mobile stations in ad-hoc networks are expected to be autonomous in making their own decision and to cooperate with other mobile stations in organizing the network. This rising complexity of the communication networks has a profound implication for modeling and simulation. As the networks are becoming more complex, testing and evaluation of the design and implementation are becoming more difficult. There are many existing models used to depict complex networks. This project use new modeling and simulation approach, which is the agent-based modeling approach. Thus, this project will go through a software model named as Netlogo to aid in understanding and conceptualizing about this project. The results show that agent-based modeling is a better model compared to traditional models such as Swarm and MASON, especially when modeling complex communication networks. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53562/1/Improving%20The%20Understanding%20Of%20The%20Dynamic%20Properties%20Of%20Advanced%20Communication%20Networks%20By%20Using%20Agent-Based%20Modeling%20Approach_Nur%20Syazana%20Mat%20Yusof_E3_2018.pdf Mat Yusof, Nur Syazana (2018) Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Mat Yusof, Nur Syazana Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title | Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title_full | Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title_fullStr | Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title_full_unstemmed | Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title_short | Improving The Understanding Of The Dynamic Properties Of Advanced Communication Networks By Using Agent-Based Modeling Approach |
| title_sort | improving the understanding of the dynamic properties of advanced communication networks by using agent-based modeling approach |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/53562/ http://eprints.usm.my/53562/1/Improving%20The%20Understanding%20Of%20The%20Dynamic%20Properties%20Of%20Advanced%20Communication%20Networks%20By%20Using%20Agent-Based%20Modeling%20Approach_Nur%20Syazana%20Mat%20Yusof_E3_2018.pdf |