Abstract
A cognitive radio ad hoc network (CRAHN) can be considered as a special delay tolerant network (DTN) that is composed of mobile secondary users (SUs) with social characteristics. Given intermittent connectivity and spectrum availability, it is a challenging issue regarding how to transmit messages between SUs in a reliable and effective way in CRAHNs. To tackle this challenge, we propose a social-aware opportunistic routing and relay selection scheme, called SoRoute, which first predicts the link reliability based on a new social-relationship-aware mobility model and then fuses the relationships of SUs to make a routing and relay decision. In our design, different prediction schemes are employed for the nodes with different relationships. A message is forwarded to the relay node with the largest encounter probability with the destination. The evaluation results demonstrate that our social-based opportunistic routing scheme significantly improves the performance compared to the existing routing schemes such as Direct Delivery, First Contact, MaxProp, and Prophet.
Highlights
A cognitive radio (CR) [1] is a promising technology to address the spectrum scarcity problem and improve spectrum utilization, which enables secondary users (SUs) opportunistically access the vacant spectrum bands allocated to primary users (PUs) [2,3,4,5,6,7,8]
We propose a novel opportunistic routing and relay selection scheme, called SoRoute, which forwards the messages based on the social relationships between the nodes in a reliable and efficient way
We propose to utilize the concept of social relationships into the routing in cognitive radio ad hoc network (CRAHN)
Summary
It is a challenging problem how to transmit messages reliably and efficiently in CRAHNs. Most of the existing DTN routing schemes [13,14,15,16,17] are based on classic ad hoc networks, ignoring the spectrum availability. We propose a novel opportunistic routing and relay selection scheme, called SoRoute, which forwards the messages based on the social relationships between the nodes in a reliable and efficient way. Huang et al [11] study a social-based routing in intermittently connected mobile cognitive radio network, but it did not consider the link reliability in message forwarding. To the best of our knowledge, there is no link reliability prediction scheme available in literature that takes into account the social characteristics and mobility of nodes, as well as interference to the PUs
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