Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks
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Abstract
To solve the problem that the existing routing algorithms, which use digital map and roadside units, have not considered the situation that the node's velocity is zero with roadside-aided predicting the node's destination. The situation will cause the prediction range out of date. And the route using the digital map to construct, which is made up of the shortest roads, is not the most optimal routing path. A Reliable Routing with Roadside-aided Prediction in Vehicular Ad Hoc Networks (RRRP) is proposed. RRRP use the reliable prediction and density aware mechanism to make sure the data successfully delivered to the destination. The simulation shows that RRRP can improve the packet deliver ratio and the throughput, reduce the end to end delay.
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