Opportunistic Routing Based Scheme with Multi-layer Relay Sets in Cognitive Radio Networks Ying Dai and Jie Wu Department of Computer and Information Sciences.

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Opportunistic Routing Based Scheme with Multi-layer Relay Sets in Cognitive Radio Networks Ying Dai and Jie Wu Department of Computer and Information Sciences Temple University

Motivation Cognitive radio networks (CRNs) – Primary users VS secondary users. Routing challenges: stability – Unpredictable PU activities and uncontrollable break links. – Dynamic channel availability.

Motivation Advantages of opportunistic routing – Improvement of stability Challenges of applying opportunistic routing – Relay node set selection

Overview We propose an efficient routing framework based on multi-layer relay sets. We give the algorithm for the selection of relay sets and transmission channels together. We design an adaptation approach with fewer interruptions to the data transmission when facing the suddenly-active PUs.

Multi-layer Opportunistic Routing Framework Framework overview: – Information exchange – Multi-layer relay set selection – Routing scheme and relay set adaptation

Multi-layer Opportunistic Routing Framework Information exchange – Goal: The sender gains the channel availabilities and the location information of its neighbors.

Multi-layer Opportunistic Routing Framework Multi-layer Relay Set Selection – Multi-layer => Multi-channel – Definition: Relay set on one layer For a node j in a relay set on one layer of node i, with channel m, it must satisfy two conditions: 1) Channel m must belong to both available channel sets of nodes i and j; 2) Node j is closer to the destination than node i.

Multi-layer Opportunistic Routing Framework Multi-layer Relay Set Selection – Definition: Relay node weight The weight of a relay node is defined by the distance advance to the destination node times the transmission rate, with a weight factor. – Definition: Relay set weight The weight of a relay set is defined as the expected relay node weight, based on the successful transmission probability.

Multi-layer Opportunistic Routing Framework Multi-layer Relay Set Selection – Multi-layer relay set selection is based on the relay set weight. Main relay set: the one with the max weight Backup relay set: the one with the second max weight

Multi-layer Opportunistic Routing Framework Multi-layer Relay Set Selection

Routing Scheme and Relay Set Adaptation Channel dynamics make the main relay set fail.

Performance Evaluation Simulation settings – Network parameters: number of nodes, number of channels, PU off duration. – Evaluation metrics: end-to-end delay, packet delivery ratio, and relay-to-sensing ratio

Performance Evaluation End-to-end delay

Performance Evaluation Packet delivery ratio

Performance Evaluation Relay-to-sensing ratio

Conclusion Multi-layer relay set selection Main and backup relay set Adaptation scheme Performance evaluation

THANK YOU!