Active Rendezvous Broadcast Algorithm Based on Channel Weight in Cognitive Radio Ad Hoc Networks
Qiaoqiao Lou, Zhao Zhijin · Automatic Control and Computer Sciences · 2021
Abstract Channel rendezvous is an important part of broadcast algorithms in cognitive radio ad hoc networks (CRAHNs). To ensure broadcast and network performance when the node energy is limited, an active rendezvous broadcast algorithm based on channel weight in CRAHN is proposed. From the perspective of balanced utilization of high-quality channels, the proposed algorithm uses the one-to-many pairing method of nodes. And channel utilization and effective channel capacity are used to calculated channel weight. A channel weights calculation formula based on available channel set, channel usage counter and channel signal-to-noise ratio is proposed. In each time slot, the best channel is selected according to the channel weight and used as the rendezvous channel for broadcasting to realize active switching between channels. And there is no need to exchange any control information between adjacent nodes. Simulation results show that, compared with the compared algorithms, the proposed algorithm achieves the balanced use of high-quality channels, improves the average channel capacity and broadcast coverage, enhances the network lifetime, and reduces the broadcast delay.