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Energy Efficient Computation Offloading in Mobile Edge Computing (Hardcover, 1st ed. 2022)
Loot Price: R4,480
Discovery Miles 44 800
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Energy Efficient Computation Offloading in Mobile Edge Computing (Hardcover, 1st ed. 2022)
Series: Wireless Networks
Expected to ship within 10 - 15 working days
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This book provides a comprehensive review and in-depth discussion
of the state-of-the-art research literature and propose
energy-efficient computation offloading and resources management
for mobile edge computing (MEC), covering task offloading, channel
allocation, frequency scaling and resource scheduling. Since the
task arrival process and channel conditions are stochastic and
dynamic, the authors first propose an energy efficient dynamic
computing offloading scheme to minimize energy consumption and
guarantee end devices' delay performance. To further improve energy
efficiency combined with tail energy, the authors present a
computation offloading and frequency scaling scheme to jointly deal
with the stochastic task allocation and CPU-cycle frequency scaling
for minimal energy consumption while guaranteeing the system
stability. They also investigate delay-aware and energy-efficient
computation offloading in a dynamic MEC system with multiple edge
servers, and introduce an end-to-end deep reinforcement learning
(DRL) approach to select the best edge server for offloading and
allocate the optimal computational resource such that the expected
long-term utility is maximized. Finally, the authors study the
multi-task computation offloading in multi-access MEC via
non-orthogonal multiple access (NOMA) and accounting for the
time-varying channel conditions. An online algorithm based on DRL
is proposed to efficiently learn the near-optimal offloading
solutions. Researchers working in mobile edge computing, task
offloading and resource management, as well as advanced level
students in electrical and computer engineering,
telecommunications, computer science or other related disciplines
will find this book useful as a reference. Professionals working
within these related fields will also benefit from this book.
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