Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks
المؤلفون المشاركون
Chang, Bo
Fan, Qiang
Wu, Guilu
Yin, Wei
Wu, Qiong
Ge, Hongmei
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-09
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Various emerging vehicular applications such as autonomous driving and safety early warning are used to improve the traffic safety and ensure passenger comfort.
The completion of these applications necessitates significant computational resources to perform enormous latency-sensitive/nonlatency-sensitive and computation-intensive tasks.
It is hard for vehicles to satisfy the computation requirements of these applications due to the limit computational capability of the on-board computer.
To solve the problem, many works have proposed some efficient task offloading schemes in computing paradigms such as mobile fog computing (MFC) for the vehicular network.
In the MFC, vehicles adopt the IEEE 802.11p protocol to transmit tasks.
According to the IEEE 802.11p, tasks can be divided into high priority and low priority according to the delay requirements.
However, no existing task offloading work takes into account the different priorities of tasks transmitted by different access categories (ACs) of IEEE 802.11p.
In this paper, we propose an efficient task offloading strategy to maximize the long-term expected system reward in terms of reducing the executing time of tasks.
Specifically, we jointly consider the impact of priorities of tasks transmitted by different ACs, mobility of vehicles, and the arrival/departure of computing tasks, and then transform the offloading problem into a semi-Markov decision process (SMDP) model.
Afterwards, we adopt the relative value iterative algorithm to solve the SMDP model to find the optimal task offloading strategy.
Finally, we evaluate the performance of the proposed scheme by extensive experiments.
Numerical results indicate that the proposed offloading strategy performs well compared to the greedy algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Qiong& Ge, Hongmei& Fan, Qiang& Yin, Wei& Chang, Bo& Wu, Guilu. 2020. Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1214568
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Qiong…[et al.]. Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1214568
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Qiong& Ge, Hongmei& Fan, Qiang& Yin, Wei& Chang, Bo& Wu, Guilu. Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1214568
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214568
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر