A vehicle's weight‐based prioritized reciprocity MAC. Issue 12 (11th June 2019)

• Record Type: Journal Article
• Authors: Lang, Ping; Wang, Jian; Mei, Fang; Deng, Weiwen
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 30:Issue 12(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-06-11
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.3654
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: In vehicular ad hoc networks, vehicles compete for channel access through the medium access control protocol to transmit messages. Most traditional medium access methods assign the same probability to all vehicles accessing the channel and ignore the intrinsic attributes of different vehicles. Attributes regarding the position and role of a vehicle are important factors to be considered when a vehicle is competing for the channel. In this paper, we introduce a new notion of a weight factor in a fair medium access game and propose a game model to adjust each node's channel access probability with complete information in the vehicular environment based on the weight factors of vehicles. The weight of a vehicle represents a specific property, such as the distance between vehicles, the vehicle's role, and so on, which can be used to distinguish priorities of different vehicles during channel competition. We also provide instances of relevant applications by using the distance between vehicles and a vehicle's role. Then, we analyze the incomplete information game in which each node cannot acquire the previous channel access probabilities of other nodes. Moreover, we construct a distributed best‐response learning algorithm based on the medium access game model and demonstrate that the game can converge to a unique and stable equilibrium under certain conditions. Furthermore, we investigate some performance indicators such as channel access delay and normalized throughput and perform extensive numerical analyses compared with the IEEE 802.11p protocol and an existing game‐based medium access control algorithm without consideration of weights. The performance comparison of high‐priority nodes and all nodes in a network is also studied. Finally, we analyze the effects of the proportion of high‐priority nodes on the performance of the channel. The performance improvement after introducing the weight factor is verified by these numerical results. Abstract : In this paper, we introduce a new notion of weight factors (eg, the distance between vehicles, and the role of each vehicle) in a fair medium access game for VANETs. Then, we propose a game model to adjust each nodes channel access probability based on weight factors of vehicles and two relevant application instances by considering the intervehicle distance and the role of the vehicle as the vehicle's weight, respectively. Finally, we construct a distributed best‐response learning algorithm based on the game model and discuss the performance improvements of the weight‐based algorithms.