Chen, Ruifeng, Sheng, Zhengguo, Zhong, Zhangdui, Michelson, David G and Leung, Victor C M (2015) Analysis on connectivity performance for vehicular ad hoc networks subjected to user behavior. In: Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International, 24-28 August 2015, Dubrovnik, Croatia.
![]() |
PDF
- Accepted Version
Restricted to SRO admin only Download (156kB) |
Abstract
The user behavior is one of the key factors to impact the communication performance of vehicular ad hoc networks. Generally, more active vehicles can enhance the connectivity performance. Nevertheless, an increasing number of active vehicles may bring about significant interference and thus negatively affect the connectivity. In this paper, a highway model is presented to study the effects of active vehicle ratio on connectivity performance in the presence of co-channel interference. A closed form expression of the inter-vehicle connectivity probability is also derived to evaluate the impacts of active ratio, traffic flow, and fading factors under Nakagami fading channel. Analytical results of inter-vehicle connectivity probability are shown to be consistent with the simulation results, and can be applied to estimate connectivity performance with interference in the network design for highway vehicular scenarios.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Keywords: | cochannel interference;probability;vehicular ad hoc networks;Nakagami fading channel;co-channel interference;connectivity performance;highway vehicular scenarios;inter-vehicle connectivity probability;vehicular ad hoc networks;Fading;Interference;Nakagami distribution;Random variables;Road transportation;Vehicles;Vehicular ad hoc networks;Nakagami fading;Vehicular ad hoc networks;active ratio;connectivity probability;user behavior |
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Subjects: | T Technology |
Related URLs: | |
Depositing User: | Zhengguo Sheng |
Date Deposited: | 04 Jan 2016 12:04 |
Last Modified: | 04 Jan 2016 12:10 |
URI: | http://srodev.sussex.ac.uk/id/eprint/57773 |
View download statistics for this item
📧 Request an update