Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation

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 (Unpublished)

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Abstract

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).

Item Type: Research Report
Uncontrolled Keywords: Intelligent transportation systems , Genetic algorithm (GA) , Network coding
Subjects: T Technology > TE Highway engineering. Roads and pavements
Divisions: FACULTY > Faculty of Engineering
Depositing User: Noraini
Date Deposited: 10 Jul 2019 05:53
Last Modified: 10 Jul 2019 05:53
URI: http://eprints.ums.edu.my/id/eprint/22529

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