Self-information broadcast messages are recurrently send out by vehicular terminals to establish their presence and hence improve situational awareness in road transportation. Importantly, such information snippets co...
详细信息
ISBN:
(纸本)9781479924912
Self-information broadcast messages are recurrently send out by vehicular terminals to establish their presence and hence improve situational awareness in road transportation. Importantly, such information snippets could prove invaluable to cloud-based intelligent transportation system services that aim to improve safety, traffic efficiency, and offer a plethora of infotainment services. However, due to the bulk nature of the aggregated load collected by vehicular peers, the delivery of this traffic to the infrastructure proves to be a challenging task. The latter offloading problem is considered in this work, in which each individual vehicular station decides on the offloading strategy that maintains proper utilization of the available infrastructure network. For this purpose, a graph theoretic approach is followed in which stations first estimate the potential of eventually being serviced by an available infrastructure node and then decide on the best offloading strategy that minimizes the load variance between the current and subsequent serving nodes. Performance analysis results illustrate that the proposed solution provides substantial load balancing gains and is computationally efficient to implement in practice for arbitrarily large network instances.
The connected and autonomous vehicles (CAV) applications and services-based traffic make an extra burden on the already congested cellular networks. offloading is envisioned as a promising solution to tackle cellular ...
详细信息
The connected and autonomous vehicles (CAV) applications and services-based traffic make an extra burden on the already congested cellular networks. offloading is envisioned as a promising solution to tackle cellular networks' traffic explosion problem. Notably, vehicular traffic offloading leveraging different vehicular communication network (VCN) modes is one of the potential techniques to address the data traffic problem in cellular networks. This paper surveys the state-of-the-art literature for vehicular data offloading under a communication perspective, i.e., vehicle to vehicle (V2V), vehicle to roadside infrastructure (V2I), and vehicle to everything (V2X). First, we pinpoint the significant classification of vehiculardata/traffic offloading techniques, considering whether data is to download or upload. Next, for better intuition of each dataoffloading's category, we sub-classify the existing schemes based on their objectives. Then, the existing literature on vehiculardata/traffic is elaborated, compared, and analyzed based on approaches, objectives, merits, demerits, etc. Finally, we highlight the open research challenges in this field and predict future research trends.
Due to the rapid development of wireless access technologies and smart terminals, mobile data traffic is continuously increasing, which is expected to lead to an explosive growth of data in heterogeneous networks espe...
详细信息
Due to the rapid development of wireless access technologies and smart terminals, mobile data traffic is continuously increasing, which is expected to lead to an explosive growth of data in heterogeneous networks especially cellular networks. It is significant for network operators to expand the capacity of cellular networks to avoid congestion and overload so as to guarantee users' satisfaction. Given that contemporary terminals are capable of both WiFi and cellular networks, WiFi offloading is envisioned as a promising solution to utilize the various benefits of WiFi and cellular networks to migrate traffic from cellular networks to WiFi networks. This paper surveys the state-of-the-art progress in the field of WiFi offloading. After discussing the requirements from the emerging 5G technology regarding the coexistence of WiFi and cellular networks, selecting and switching schemes are presented. The bandwidth and capacity of WiFi networks are usually excellent, whereas the coverage and energy efficiency may be unacceptable. We elaborate on several existing solutions of WiFi offloading schemes and discuss how the parameters of several kinds of heterogeneous networks affect the offloading decision. We also illustrate how multiple networks cooperate in heterogeneous networks in order to balance the offloading performance. We classify current various incentives of WiFi offloading into five categories: 1) capacity;2) cost;3) energy;4) rate;and 5) continuity. Improving the capacity is the basic incentive, which can be further classified in terms of delay techniques. From operators' and users' perspectives, we also investigate various state-of-the-art incentives of WiFi offloading such as minimizing cost, saving energy consumption, and improving rate. Furthermore, WiFi offloading schemes that attempt to enhance continuity to deal with frequent disruption problems are further investigated, especially for vehicular scenarios. Finally, future research directions and challeng
暂无评论