Title :
Enabling emergency communication through a cognitive radio vehicular network
Author :
Yifan Sun ; Chowdhury, Kaushik
Abstract :
Unexpected disasters, both naturally occurring and those caused through human actions, result in severe damage to communication infrastructure. Additionally, such events are accompanied by sharp spikes in the usage of commercially licensed spectrum, when affected victims of the tragedy attempt to transmit information about themselves and capture high bandwidth data in the form of pictures and videos. We envisage cognitive radio as a candidate solution in such situations, where the devices can identify alternate frequency bands, and opportunistically use them. In this article, we describe a network architecture called EC-CRVN composed of CR enabled vehicles that provide critical wireless connectivity to both the general public and emergency responders. We discuss the application scenarios and salient features of the EC-CRVN. We describe the existing state of the art, the research challenges involved in realizing them, and a new approach of spectrum sensing using moving vehicles that reduces errors without adding to communication overhead.
Keywords :
cognitive radio; mobile communication; radio spectrum management; EC-CRVN; cognitive radio vehicular network; communication infrastructure; critical wireless connectivity; emergency communication; network architecture; spectrum sensing; Bandwidth allocation; Cognitive radio; Communication networks; Emergency services; Quality of service; Throughput; Wireless communication;
Journal_Title :
Communications Magazine, IEEE
DOI :
10.1109/MCOM.2014.6917404