TY - GEN
T1 - Latency and reliability oriented collaborative optimization for multi-UAV aided mobile edge computing system
AU - Hou, Xiangwang
AU - Ren, Zhiyuan
AU - Wang, Jingjing
AU - Zheng, Shuya
AU - Zhang, Hailin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Intelligent emergency rescue equipment increasingly plays an important emergency rescue, which can greatly enhance the capability and efficiency of the rescue activities. In this paper, we construct a multi-UAV enabled latency and reliability guaranteed mobile edge computing framework (LR-UMEN) to provide on-demand computing services, where both the latency and the reliability are considered. Moreover, being different from the existing work about the latency and reliability, we propose a joint optimization of communications, computing and caching to decrease the latency as well as enhance the reliability relying on the novel definition of 'expected latency', which effectively benchmarks the characteristic of both the latency and reliability considered. Finally, a hybrid binary particle swarm optimization (HBPSO) algorithm is conceived for solving the non-convex optimization problem, followed by a range of simulations.
AB - Intelligent emergency rescue equipment increasingly plays an important emergency rescue, which can greatly enhance the capability and efficiency of the rescue activities. In this paper, we construct a multi-UAV enabled latency and reliability guaranteed mobile edge computing framework (LR-UMEN) to provide on-demand computing services, where both the latency and the reliability are considered. Moreover, being different from the existing work about the latency and reliability, we propose a joint optimization of communications, computing and caching to decrease the latency as well as enhance the reliability relying on the novel definition of 'expected latency', which effectively benchmarks the characteristic of both the latency and reliability considered. Finally, a hybrid binary particle swarm optimization (HBPSO) algorithm is conceived for solving the non-convex optimization problem, followed by a range of simulations.
KW - Latency
KW - Mobile edge computing
KW - Reliability
KW - Result caching
KW - Task allocation
KW - UAV
UR - https://www.scopus.com/pages/publications/85091517000
U2 - 10.1109/INFOCOMWKSHPS50562.2020.9163048
DO - 10.1109/INFOCOMWKSHPS50562.2020.9163048
M3 - 会议稿件
AN - SCOPUS:85091517000
T3 - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
SP - 150
EP - 156
BT - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Y2 - 6 July 2020 through 9 July 2020
ER -