Voice over VANETs (VoVAN): QoS performance analysis of different voice CODECs in urban VANET scenarios

Abstract

Vehicular ad hoc networks (VANETs) have recently received considerable attention. In such networks, mobile nodes are spontaneous and uncoordinated associations of vehicles equipped with 802.n-based hardware, and change their positions dynamically. V ANETs applications require data, voice and video transmission. However, Voice over IP (VoIP) may provide good services through V ANETs platform. It may cover many application scenarios range from safety to comfort related services. In this paper, our approach is based on VoIP over VA NETs (VoVAN) by means of simulation. For this task, a performance evaluation of various voice CODECs and its impact on quality of service metrics will be analyzed, focusing on inter vehicular voice communication. To achieve good results, we use mobility information obtained from vehicular traffic generator which is based on the real road maps of an urban environment. Results of the simulations are presented in terms of both network level (such as E2E delay) and user level (Mean Opinion Score) metrics. This performance evaluation showed that G.723.1 CODEC worked well in the urban VANET environment.

Strengthening Connectivity in VANET by Making use of Driverless Cars

“…There are actually a couple of principal problems in the reliance on structure: the foremost being expense of maintenance and installing of the structural devices and the other could be the excess of pre-existent interaction structure. Even though RSUs are set up for VANETs' connections, they normally use established structure such as for instance mobile companies being their backbone [5][6][7][8]. However, this is simply not practical when it comes to current system that is overloaded because of its cellular nature.…”

“…The car runs along this path until it arrives at a junction, in which a group includes a range of choices (i.e., roads) to pick out of. In DVC, your decision is manufactured by the car of which road to choose by adhering to a game algorithm that is theoretic to calculate a software array for many of its tracks being elective then selects the path utilizing the feature that is best [5][6][7]. Nevertheless, as different cars nearing the junction join the exact same car; such automobiles must work together with one another.…”

“…The RSUs are regarded as the grit of V2I communications and they are usually associated to offer interaction towards multiple cars. It can be calculated as the expense of a structural unit that is solitary for V2I interaction will likely be around 50 thousand dollars that will make it difficult to measure to help in the safeguard of all the roads inside a given geographic area [5][6][7][8]. The aim of the paper is to enhance the connectivity issue in VANETs with minimalistic reliance on RSU or V2I interactions in this paper.…”

“…Numerous automobile manufacturers are actually focusing on driverless cars, for instance, BMW initiated evaluating these around 2005 [6][7][8]. Different brands have actually in the past integrated investigations of these regarding the roadways, such as for instance Tesla [6][7][8] and Uber [6][7][8]. Driverless cars are monitored using the aim for preparation of the course for the automobile to cut back the travel duration.…”

On Qos performance of different voice codecs over ad hoc networks in underground mines

“…The QoS on VoIP is especially sensitive to end-to-end delay and packet loss rate [2]. And the types of voice codec, which the primary functions is to perform analog/digital voice signal conversion and digital compression, have the effect on the QoS on VoIP [3]. VoIP over Mobile ad hoc Networks in both indoor and outdoor environments has been studied in [4][5][6][7].…”