Earticle

초록

영어

Thanks to their multiple sensors, the Android smartphones have drawn significant attention for supporting vehicular sensing apps. These apps usually require continual sampling of sensors to collect the events of driving. However, the standard garbage collection (GC) of the Dalvik virtual machine blocks these apps from collecting sensing information for hundreds of milliseconds, which leads to the failure of detecting vehicular events. To alleviate this problem, we present a scheme that proactively invokes the app-driven GC to reduce the duration of blocking based on free heap memory ratio or periodic calling. The experimental results show that we can significantly reduce 75% of the blocking time.

목차

Abstract
 1. Introduction
 2. Vehicular Sensing in the Android Smartphones
  2.1. Detection of Speed Bumps and Potholes
  2.2. Continual Sensing of Speed Bumps and Potholes Detection
 3. App-Driven Garbage Collection
 4. Experimental Results
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Hoa-Hung Nguyen [ Pusan National University, Busan, Republic of Korea ]
• Rachmad Nafisholeh [ Pusan National University, Busan, Republic of Korea ]
• Han-You Jeong [ Pusan National University, Busan, Republic of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605