| Full text | |
| Author(s): |
de Almeida, Thales Teixeira
[1, 2]
;
Ribeiro Junior, Jose Geraldo
[2]
;
Campista, Miguel Elias M.
[1]
;
Costa, Luis Henrique M. K.
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Fed Rio de Janeiro, UFRJ, PEE, COPPE DEL, Poli GTA, Av Athos da Silveira Ramos 149, BR-21941972 Rio De Janeiro - Brazil
[2] Fed Ctr Technol Educ Minas Gerais CEFET MG DCMLP, R Jose Peres 558, BR-36700001 Leopoldina - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | JOURNAL OF SENSOR AND ACTUATOR NETWORKS; v. 9, n. 2 JUN 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
The high cost of IEEE 802.11p-compliant devices and the lack of a widely adopted standard motivate the search for alternative methods for vehicular communication. As a consequence, and due to the ubiquity of smartphones, we see an increasing number of proposals based on Wi-Fi Direct, especially related to the integration of pedestrians in VANETs. Nevertheless, given the complexity of real experimentation, it is difficult to assess the ability of Wi-Fi Direct to offer connectivity in the vehicular environment on a large scale, leading to the evaluation through simulation. In order to verify the ability of a simulation model of reproducing the Wi-Fi Direct behavior, we analyze the performance of a safety application based on the communication range, packet delivery rate, and packet inter-reception time. In V2P scenarios, with and without line of sight, with varying vehicle speed, measurements using smartphones are performed and their results compared with those of OMNeT++ simulator. The results indicate, apart from the simulator's accuracy, that the connection establishment time hinders the use of Wi-Fi Direct as a replacement to 802.11p. As an outcome of this observation, we evaluate a new transmission method for Wi-Fi Direct based on beacon stuffing, which mitigates the long connection establishment issue. (AU) | |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |