Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation
Intelligent transportation systems use wireless technology as a communication backbone for disseminating vital traffic information. In conventional store-and-forward of a wireless ad hoc network, data packets disseminated separately and independently with different transmission lows limit the overal...
| Main Authors: | , , , , , , , , |
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| Format: | Research Report |
| Language: | English |
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Universiti Malaysia Sabah
2013
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/22529/1/Potential%20of%20incorporating%20evolutionary%20based%20network%20coding%20for%20information%20scavenging%20in%20intelligent%20public%20transportation.pdf |
| _version_ | 1825713649264623616 |
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| author | Teo, Kenneth Tze Kin Chin, Renee, Ka Yin Chua, Bih Lii Tan, Shee Eng Lee, Chun Hoe Yeo Kiam Beng @ Abdul Noor Rosalam Sarbatly Goh, Hui Hwang Yew, Hoe Tung |
| author_facet | Teo, Kenneth Tze Kin Chin, Renee, Ka Yin Chua, Bih Lii Tan, Shee Eng Lee, Chun Hoe Yeo Kiam Beng @ Abdul Noor Rosalam Sarbatly Goh, Hui Hwang Yew, Hoe Tung |
| author_sort | Teo, Kenneth Tze Kin |
| collection | UMS |
| description | Intelligent transportation systems use wireless technology as a communication backbone for disseminating vital traffic information. In conventional store-and-forward of a wireless ad hoc network, data packets disseminated separately and independently with different transmission lows limit the overall network performances. Network coding is implemented to combine several packets from different sources and broadcast the combined packet to respective destinations in single transmission flow. Genetic algorithm (GA) is introduced to further optimise the resources for network coding by searching optimum transmission route. The simulation results show the GA can adapt to various topologies with a better throughput and energy consumption of 22.27 % fewer than store-and-forward and 16.33 % fewer than code based forwarding structure (COPE). |
| first_indexed | 2024-03-06T02:59:49Z |
| format | Research Report |
| id | ums.eprints-22529 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T02:59:49Z |
| publishDate | 2013 |
| publisher | Universiti Malaysia Sabah |
| record_format | dspace |
| spelling | ums.eprints-225292019-07-10T05:53:53Z https://eprints.ums.edu.my/id/eprint/22529/ Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation Teo, Kenneth Tze Kin Chin, Renee, Ka Yin Chua, Bih Lii Tan, Shee Eng Lee, Chun Hoe Yeo Kiam Beng @ Abdul Noor Rosalam Sarbatly Goh, Hui Hwang Yew, Hoe Tung TE Highway engineering. Roads and pavements Intelligent transportation systems use wireless technology as a communication backbone for disseminating vital traffic information. In conventional store-and-forward of a wireless ad hoc network, data packets disseminated separately and independently with different transmission lows limit the overall network performances. Network coding is implemented to combine several packets from different sources and broadcast the combined packet to respective destinations in single transmission flow. Genetic algorithm (GA) is introduced to further optimise the resources for network coding by searching optimum transmission route. The simulation results show the GA can adapt to various topologies with a better throughput and energy consumption of 22.27 % fewer than store-and-forward and 16.33 % fewer than code based forwarding structure (COPE). Universiti Malaysia Sabah 2013 Research Report NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/22529/1/Potential%20of%20incorporating%20evolutionary%20based%20network%20coding%20for%20information%20scavenging%20in%20intelligent%20public%20transportation.pdf Teo, Kenneth Tze Kin and Chin, Renee, Ka Yin and Chua, Bih Lii and Tan, Shee Eng and Lee, Chun Hoe and Yeo Kiam Beng @ Abdul Noor and Rosalam Sarbatly and Goh, Hui Hwang and Yew, Hoe Tung (2013) Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation. (Unpublished) |
| spellingShingle | TE Highway engineering. Roads and pavements Teo, Kenneth Tze Kin Chin, Renee, Ka Yin Chua, Bih Lii Tan, Shee Eng Lee, Chun Hoe Yeo Kiam Beng @ Abdul Noor Rosalam Sarbatly Goh, Hui Hwang Yew, Hoe Tung Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title | Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title_full | Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title_fullStr | Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title_full_unstemmed | Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title_short | Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| title_sort | potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation |
| topic | TE Highway engineering. Roads and pavements |
| url | https://eprints.ums.edu.my/id/eprint/22529/1/Potential%20of%20incorporating%20evolutionary%20based%20network%20coding%20for%20information%20scavenging%20in%20intelligent%20public%20transportation.pdf |
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