Lee, Chun Hoe and Lim, Kit Guan and Min Keng Tan and Renee Ka Yin Chin and Kenneth Tze Kin Teo (2017) A genetic algorithm for management of coding resources in VANET. In: 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS 2017), 21 October 2017, Kota Kinabalu, Sabah, Malaysia.
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Abstract
This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). VANET shows a promising technology as it could enhance the traffic efficiency and promote traffic safety on the road systems. The conventional store-and-forward transmission protocol used in the intermediate node(s) simply stores the received packet and then send at a later time to the destination. However, the rapid changing in VANET topology has made the conventional store-and-forward approach inefficient to meet the throughput and reliability demand posed by VANET. Hence, NC is proposed to perform additional functions on the packet in the source or intermediate node(s). However, the chances to perform NC in wireless network is highly unlikely if the packet is not transmit to the potential NC node. Therefore, GA based network routing (GANeR) is embedded into network to search for shortest path from the source to the destination. It showed that the developed GANER in this work provides a better route with coding opportunities and reduces energy consumption in the network. The total energy consumed by GANER is 5.6% fewer than NC in wireless network transmission and forwarding structure (COPE).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keyword: | VANET , Intelligent transportation system , Network coding , Genetic algorithm , Evolutionary algorithm |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software |
| Department: | FACULTY > Faculty of Engineering |
| Depositing User: | SAFRUDIN BIN DARUN - |
| Date Deposited: | 20 Sep 2021 08:57 |
| Last Modified: | 20 Sep 2021 08:57 |
| URI: | https://eprints.ums.edu.my/id/eprint/29027 |
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