TY - JOUR
T1 - Double-Edge Computation Offloading for Secure Integrated Space-Air-Aqua Networks
AU - Wang, Dawei
AU - He, Tianmi
AU - Lou, Yi
AU - Pang, Linna
AU - He, Yixin
AU - Chen, Hsiao Hwa
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Space-air-aqua integrated network (SAAIN) is an emerging maritime network architecture to support reliable and timely communications. Considering the computation capability and information security in maritime transportation systems, this work proposes a double-edge secure offloading scheme, where both base-station (BS) and satellites provide secure mobile-edge computing services for delay-sensitive applications. Specifically, maritime mobile users may offload their computation tasks adaptively to the BS or satellites securely relayed by unmanned aerial vehicles (UAVs). To minimize offloading delay, we formulate an optimization problem to allocate the transmit power cooperatively via UAVs' trajectory optimization. Moreover, jamming UAVs are deployed to protect the offloading process. For such a nonconvex optimization problem, two iterative algorithms are proposed to determine the transmit power and design the UAVs' trajectories. Numerical results show the effectiveness of the proposed scheme in terms of offloading delay.
AB - Space-air-aqua integrated network (SAAIN) is an emerging maritime network architecture to support reliable and timely communications. Considering the computation capability and information security in maritime transportation systems, this work proposes a double-edge secure offloading scheme, where both base-station (BS) and satellites provide secure mobile-edge computing services for delay-sensitive applications. Specifically, maritime mobile users may offload their computation tasks adaptively to the BS or satellites securely relayed by unmanned aerial vehicles (UAVs). To minimize offloading delay, we formulate an optimization problem to allocate the transmit power cooperatively via UAVs' trajectory optimization. Moreover, jamming UAVs are deployed to protect the offloading process. For such a nonconvex optimization problem, two iterative algorithms are proposed to determine the transmit power and design the UAVs' trajectories. Numerical results show the effectiveness of the proposed scheme in terms of offloading delay.
UR - http://www.scopus.com/inward/record.url?scp=85153365508&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85153365508&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2023.3264694
DO - 10.1109/JIOT.2023.3264694
M3 - Article
AN - SCOPUS:85153365508
SN - 2327-4662
VL - 10
SP - 15581
EP - 15593
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 17
ER -