TY - GEN
T1 - Hybrid quantum-behaved particle swarm optimization for mobile-edge computation offloading in internet of things
AU - Dai, Shijie
AU - Liwang, Minghui
AU - Liu, Yang
AU - Gao, Zhibin
AU - Huang, Lianfen
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018.
PY - 2018
Y1 - 2018
N2 - Mobile edge computing (MEC) is a technology that transfers resource to the edge of network, which spares more attention to giving users easier access to network and computation resources. Due to the large amount of data computation needed for devices in Internet of Things, MEC technology is applied to improve computing efficiency. Though MEC can be applied to the Internet of Things, it needs further consideration on how to efficiently and reasonably allocate computing resources, and how to minimize the computing time of all users. This paper proposes a computing resources allocation scheme based on hybrid quantum-behaved particle swarm optimization. Simulation experiments with the network environment based on the Internet of Things is carried out. The results show that this algorithm can accelerate the whole computing process and reduce the number of iterations.
AB - Mobile edge computing (MEC) is a technology that transfers resource to the edge of network, which spares more attention to giving users easier access to network and computation resources. Due to the large amount of data computation needed for devices in Internet of Things, MEC technology is applied to improve computing efficiency. Though MEC can be applied to the Internet of Things, it needs further consideration on how to efficiently and reasonably allocate computing resources, and how to minimize the computing time of all users. This paper proposes a computing resources allocation scheme based on hybrid quantum-behaved particle swarm optimization. Simulation experiments with the network environment based on the Internet of Things is carried out. The results show that this algorithm can accelerate the whole computing process and reduce the number of iterations.
KW - Internet of things
KW - Mobile edge computing
KW - Offloading
UR - http://www.scopus.com/inward/record.url?scp=85045332941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045332941&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-8890-2_26
DO - 10.1007/978-981-10-8890-2_26
M3 - Conference contribution
AN - SCOPUS:85045332941
SN - 9789811088896
T3 - Communications in Computer and Information Science
SP - 350
EP - 364
BT - Mobile Ad-hoc and Sensor Networks - 13th International Conference, MSN 2017, Revised Selected Papers
A2 - Zhu, Liehuang
A2 - Zhong, Sheng
T2 - 13th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2017
Y2 - 17 December 2017 through 20 December 2017
ER -