Title
Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding.
Abstract
This paper studies packet multicast technology in cognitive radio ad hoc networks (CRAHNs) by using a random network coding (RNC)-based approach. We first specify the key problem of packet multicast applications in CRAHNs, called multichannel single-hop wireless multicast problem (MCSHWMP), then present the definition of MCSHWMP of its four-element tuple model. Next, we propose a framework for the network coding -based scheme in packet multicast applications of CRAHNs and provide several candidate schemes based on the framework. The proposed schemes have several desirable features: 1) necessary packet transmissions are reduced greatly by exploiting the broadcast nature of wireless transmissions by using RNC; 2) each packet transmission is tried to maximize the packet reception gain of the receivers by considering opportunistic accessibility of wireless channels and heterogeneous packet reception success ratio of different wireless channels; and 3) packet size to be transmitted is effectively shortened by reducing decoding information to be transmitted in the packet. Simulation results show that NC-based schemes decrease packet transmissions significantly comparing with non-NC-based schemes. The advantage of NC-based schemes is more distinctive when packet reception success ratio of wireless links are near but smaller than 1, and in these cases around 50% of packet transmissions could be saved.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2805762
IEEE ACCESS
Keywords
Field
DocType
Random network coding,cognitive radio ad hoc networks,multicast,broadcast,link reliability
Linear network coding,Broadcasting,Wireless network,Wireless,Computer science,Network packet,Computer network,Multicast,Wireless ad hoc network,Decoding methods,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.35
0
8
Name
Order
Citations
PageRank
Bingcai Chen1398.08
Zhen-guo Gao27716.99
Manrou Yang311.02
Ning Qian4526.58
Chao Yu59112.97
Weimin Pan610.69
Mei Nian710.35
Dongmei Xie8506.29