A Fast Reroute Algorithm for Infotainment Service in Internet of Vehicles

A Fast Reroute Algorithm for Infotainment Service in Internet of Vehicles

Zhiyuan Li, Panpan Wu, Yue Song
Copyright: © 2016 |Pages: 15
DOI: 10.4018/IJDST.2016070104
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Abstract

Failure recovery in Internet of Vehicles (IoVs) is critical to high quality service provisioning. The main challenge is how to achieve fast rerouting without introducing high complexity and resource usage due to the dynamic topology and the constraints on bandwidth. In this paper, we propose a traffic prediction-based fast reroute algorithm for use among the vehicles in IoVs. The proposed algorithm uses the Wavelet Neural Network (WNN) model to predict a vehicle's network traffic. When the predicted value is greater than the predefined network traffic threshold, both Adaptive Retransmission Trigger (ART) that contributes to switch to a better alternate path in advance and trigger efficient retransmission behaviors are enabled successively. Performance comparison of our proposed algorithm with Ant-based Delay-Sensitive Vehicular Routing (AntVehiNet) shows that WNNPFR can: (a) maximize the service data delivery rate by load balancing, (b) provide high quality of service delivery for multimedia streams by switching to a better path towards a target node in advance, (c) reduce useless data retransmissions when various network failures occur, and (d) maintain lower routing overhead.
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Routing protocols is an important research aspect in IoVs. Next, we provide a taxonomy on routing protocols in IoVs based on delay tolerance and delay sensitivity. And we summarize them in Table 1.

Table 1.
Summary of routing protocols in IoVs
Routing ProtocolRouting TypeDelay SensitivityInformation UsedReroutingPerformance Metric
GeoSpray (Soares, et al., 2014)UnicastDelay TolerantPosition-basedNoTransmission delay/ delivery ratio
Spray and Wait (Spyropoulos, et al., 2005)UnicastDelay TolerantPosition-basedNoTransmission Delay/ delivery ratio
Probabilistic Routing (Lindgren, et al., 2003)UnicastDelay TolerantPosition-basedNoTransmission Delay/ delivery ratio
AntVehiNet (Li & Boukhatem, 2013)UnicastDelay SensitiveMap-basedNoTransmission Delay/delivery ratio/ overhead
RLI (Wang, et al., 2015)UnicastDelay SensitivePosition-basedYesTransmission Delay/rerouting delay/ overhead

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