Abstract
With the rapid development of cloud computing and big data, traditional Vehicular Ad hoc Networks (VANETs) are evolving into the Internet of Vehicles (IoV). As an important communication technology in IoV, IEEE 802.11p protocols have been studied by many experts and scholars. In IEEE 802.11p, a node’s backoff counter will be frozen when the channel is detected as busy. However, most studies did not consider the possibility of continuous backoff freezing when calculating delay. Thus, in this paper, we focus on the performance analysis of IEEE 802.11p for continuous backoff freezing. Specifically, we establish an analytical model to analyze the broadcast performance in the highway scene where vehicles can obtain traffic density from roadside units through Vehicle to Infrastructure (V2I) communications. We first calculate the relationship between vehicle density and the number of vehicles. Then, we derive the relationship between the number of vehicles and packet delay according to Markov chains. Next, we utilize the probability generating function (PGF) to transform traditional Markov chains into z domain under the situation of non-saturation. Finally, we employ the Mason formula to derive packet delay. As compared with the performance without considering the continuous backoff freezing, the simulation results have demonstrated that our analytical model is more reasonable.
Highlights
In recent years, with the rapid development of technologies such as cloud computing and big data in Internet of Things (IoT) [1,2,3], the potential application of cloud computing in traditional VehicularAd-hoc Networks (VANETs) has attracted the attention of many experts and scholars [4]
We focus on performance analysis of IEEE 802.11p for continuous backoff freezing in Internet of Vehicles (IoV)
Since none of the above papers consider the case of continuous backoff freezing, in this paper, we will analyze the performance of IEEE 802.11p enhanced distributed channel access (EDCA) mechanism where continuous backoff freezing is taken into account
Summary
With the rapid development of technologies such as cloud computing and big data in Internet of Things (IoT) [1,2,3], the potential application of cloud computing in traditional Vehicular. The characteristics of IoV like high-speed mobility will cause the dynamic change of network topology and the unstable communication link, resulting in frequent traffic accidents and serious traffic jams [13,14,15,16,17,18] To avoid these situations, vehicles use vehicle-to-vehicle (V2V) communications to exchange dynamic parameters and other security messages, e.g., collision warning, blind spot warning and emergency brake warning [19]. Vehicles use vehicle-to-vehicle (V2V) communications to exchange dynamic parameters and other security messages, e.g., collision warning, blind spot warning and emergency brake warning [19] These safety-related messages need to be transmitted to nearby vehicles in a short period of time, which means that these messages have strict requirements on low latency and high packet delivery ratio [20,21,22].
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