Mohammad Hameez, Mat Zin and Ali, Jahan and Rahman, Md. Arafatur and Azad, Saiful and M. Nomani, Kabir (2016) IoT Enabled Intra-Vehicular Communication for Designing A Smart Car. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016 , 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 253-259.. ISBN 978-967-2054-04-7
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Abstract
Nowadays, the number of sensor nodes in the vehicle has expanded altogether because of the expanding of various vehicular applications. Moreover, the wired connection is not adaptable and flexible due to the internal structure of the vehicle, thus, there is an expanding level of appeal to design a system in which the wired connections with the sensor node are supplanted with wireless connections. Design a wireless sensor system inside the vehicle is quite challenging than other systems, e.g., wireless, sensor and computer network, due to the unpredictable environment inside the vehicle. In this project, we discuss about Internet of Things (IoT) enabled Intra-Vehicular Communication for Designing a Smart Car. IoT enabled Intra-Vehicular Communication (IoT-IVC) refers to the system where huge number of sensors are associated with each other for sharing the car components’ information to build up a smart vehicular system. The marvel of congestion represents an issue in the IoT-IVC while the traffic load and number of sensors are expanded. A new scheduling algorithm is proposed for minimizing the congestion. A Test-Bed is designed in order to validate the proposed algorithm. The experimental results justify the effectiveness of the proposal.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | IoT-IVC, ZigBee, MAC, Wireless Sensor Networks |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering Institute of Postgraduate Studies |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 24 Mar 2017 01:22 |
| Last Modified: | 28 Feb 2020 01:19 |
| URI: | http://umpir.ump.edu.my/id/eprint/17311 |
| Download Statistic: | View Download Statistics |
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