A Probabilistic Broadcasting Scheme for Emergent Message Dissemination in Urban Internet of Vehicles

Abstract

The Internet of Vehicles(IoV) has attracted increasing attentions for its potential of enhancing driving safety and traffic efficiency. The Multi-hop broadcast is one of the important techniques for timesensitive data dissemination especially in emergent cases. As a result, how to wisely select the next-hop during Multi-hop routing plays an important role for performance improvement in IoV as well as dependent applications. Nevertheless, in view of the high mobility, frequent changing topology and complicated channel environment, a hazardous and thoughtless selection of the next-hop is easy to make, thus leading undesirable results. To deal with this issue, in this paper, a probabilistic broadcasting protocol for emergent message dissemination (BP-EMD) in Urban IoV is proposed. As the selection guidance for relaying node, the weighted probability is envisioned for each potential relay candidate, which is the combination of distance, link availability and packet reception ratio. After that, the node with the greatest weighted probability has been given the highest priority to relay the packet. In case that the selected relay node fails the forwarding, the other nodes available for relay will assist to disseminate the packet. In this way, the transmission reliability of the emergent messages is significantly guaranteed. Numerical results indicate that our BP-EMD can achieve higher broadcasting efficiency and less redundancy with less delivery latency, average transmission numbers and average End-to-End delay, as well as high packets delivery ratio and dissemination efficiency, compared with some classical multi-hop broadcasting protocols.

Federated Learning Enabled SDN for Routing Emergency Safety Messages (ESMs) in IoV Under 5G Environment

“…The dedicated spectrum for this protocol is 75 MHz in the range of 5.850-5.925 GHz [54], [55]. One of the main problems using IEEE 802.11p technology in emergency traffic situations is broadcast storms, which have been addressed in the literature [56], [57], [58], [59], and [60] using various mechanisms. The clustering technique was introduced in [56], [58], and [60] to reduce broadcast storms and disseminate ESMs by choosing a forwarder that has higher compatible interests with other vehicles in [56].…”

“…[60] outperformed [58] by examining the link stable estimation parameter and achieving improved results. The protocol in [57] strengthened reliability by evaluating each vehicle's transmission probability concerning distance, packet reception ratio, and link availability metrics. The vehicle with the highest value forwards the ESM, with other vehicles as backups in case of failure.…”

Data‐centric approaches in the Internet of Vehicles: A systematic review on techniques, open issues, and future directions

“…Li et al 54 proposed a mathematical model for the efficient emergent data propagation (EDP) in IoV. The authors suggested a probabilistic method for choosing the proper node as a relay node in a multi‐hop discipline of data propagation.…”

Hyperbolic-Embedding-Aided Geographic Routing in Intelligent Vehicular Networks

“…In such a large-scale, heterogeneous, complex network, the design of a reliable and efficient routing strategy is of great necessity but quite challenging [3][4][5]. Therefore, the study of routing strategies has long been a hot topic in the research field of intelligent vehicular networks [6][7][8].…”