An energy-efficient failure detector for vehicular cloud computing

Jiaxi Liu, Zhibo Wu, Jian Dong, Jin Wu and Dongxin Wen

PLOS ONE, 2018, vol. 13, issue 1, 1-17

Abstract: Failure detectors are one of the fundamental components for maintaining the high availability of vehicular cloud computing. In vehicular cloud computing, lots of RSUs are deployed along the road to improve the connectivity. Many of them are equipped with solar battery due to the unavailability or excess expense of wired electrical power. So it is important to reduce the battery consumption of RSU. However, the existing failure detection algorithms are not designed to save battery consumption RSU. To solve this problem, a new energy-efficient failure detector 2E-FD has been proposed specifically for vehicular cloud computing. 2E-FD does not only provide acceptable failure detection service, but also saves the battery consumption of RSU. Through the comparative experiments, the results show that our failure detector has better performance in terms of speed, accuracy and battery consumption.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0191577

DOI: 10.1371/journal.pone.0191577

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