Paper Info
Title
A multi-hop routing protocol for video transmission in IoVs based on cellular attractor selection
Abstract
Video transmission in Internet of Vehicles (IoVs) is an emerging technology which utilizes the multimedia inside and outside vehicles itself through Vehicle Ad Hoc Networks (VANETs). In IoVs, traditional multi-hop routing protocols are not adaptive to mobile environment, especially the high-mobility driving environment in which vehicles need to accomplish video transmission under high quality of service (QoS). In this paper, we propose a multi-hop routing protocol for video transmission in IoVs based on cellular attractor selection (MRVT-CAS). We design a packet generation method for MRVT-CAS and use Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to construct the candidate set of next-hop selection. Then we map the expression of different genes in cell to selection of different next-hop nodes, and employ the mechanics of cellular attractor selection to select next-hop node. Moreover, we present a real-time feedback process to improve self-adaptability and robustness of routing protocol. Our simulation study compares MRVT-CAS with other routing protocols to evaluate performance of video transmission. The simulation results demonstrate the performance improvement over traditional methods, in terms of reachability, delay, stability and frame loss rate.
Year
DOI
Venue
2019
10.1016/j.future.2018.09.070
Future Generation Computer Systems
Keywords
Field
DocType
Internet of vehicles,Vehicle Ad Hoc Networks,Video transmission,Cellular attractor selection,Real-time feedback
Computer science,Network packet,Quality of service,Robustness (computer science),TOPSIS,Wireless ad hoc network,Performance improvement,The Internet,Routing protocol,Distributed computing
Journal
Volume
ISSN
Citations 
95
0167-739X
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Daxin Tian120432.49
Chuang Zhang288.67
Xuting Duan3264.92
Wang Yun-Peng417911.56
Jianshan Zhou512913.66
Zhengguo Sheng644640.43