An energy-efficient failure detector for vehicular cloud computing

PLoS One. 2018 Jan 19;13(1):e0191577. doi: 10.1371/journal.pone.0191577. eCollection 2018.

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.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Cloud Computing*
  • Computer Communication Networks
  • Electric Power Supplies / statistics & numerical data*
  • Equipment Failure / statistics & numerical data
  • Humans
  • Internet
  • Motor Vehicles / statistics & numerical data*
  • Solar Energy / statistics & numerical data
  • Systems Integration

Grants and funding

This work was supported by the National Natural Science Foundation of China (61100029) (http://www.nsfc.gov.cn/); Jian Dong is responsible for organizing and implementing the project. This work was also supported by the National Natural Science Foundation of China (61370085) (http://www.nsfc.gov.cn/); Dongxin Wen is responsible for organizing and implementing the project.