Efficient Energy and Reliability Management of Mobile CPS in the Future Internet

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (29 March 2023) | Viewed by 3450

Special Issue Editors

School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: embedded systems; information security and privacy; MPSoC; DVFS; computer systems engineering; heterogeneous architecture; artificial intelligence; machine learning; signal processing
Special Issues, Collections and Topics in MDPI journals
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
Interests: embedded systems; MPSoC; NoC; design space exploration; run-time mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Although the mass adoption of mobile cyber physical systems (CPS), such as smartphones, wearables, robots and drones, remarkably improves the quality and convenience of our lives through various applications, such computing systems come with unique challenges. One of the critical issues currently faced by mobile CPSs is the need for computing resource management and optimization in resource-constrained hardware to enhance the power consumption, thermal behaviour and reliability of such devices.

On the other hand, as we move towards Web3, where user content and applications are decentralized due to the adoption of the blockchain, managing computing resources in such mobile CPSs could additionally affect the security and privacy of users' data. Furthermore, the data processing workload of the decentralized Web3 also differs from the workload of traditional applications, which is currently not executed for blockchain technology.

This Special Issue in Future Internet intends to create a discussion forum where various experiences, ideas, research and points of view can be presented. We are inviting authors to join in this collaboration to share research, ideas and practices to build the knowledge base of computing resource management, mobile CPSs and the blockchain and their role in decentralized Web3. Together, we can achieve solutions to the numerous problems encountered in the application of mobile CPSs and the decentralized Web3. Research areas may include (but are not limited to) the following:

  • Resource management and optimization of mobile CPS in the Future Internet;
  • Networking advancements in energy and reliability management for mobile CPSs using blockchain infrastructure;
  • Energy-efficient mobile CPS architecture;
  • Reliable mobile CPS architecture;
  • Efficient machine learning for mobile CPSs;
  • Blockchain and mobile CPSs;
  • Cloud computing and mobile CPSs;
  • Security and privacy for mobile CPS.

We look forward to receiving your contributions.

Dr. Somdip Dey
Dr. Amit Kumar Singh
Guest Editors

Manuscript Submission Information

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Keywords

  • mobile cyber physical system
  • blockchain
  • resource management
  • security
  • reliability
  • energy efficiency
  • machine learning
  • decentralized Web 3.0

Published Papers (1 paper)

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Research

14 pages, 522 KiB  
Article
CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems
Future Internet 2022, 14(3), 91; https://doi.org/10.3390/fi14030091 - 14 Mar 2022
Cited by 5 | Viewed by 2980
Abstract
Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach to dynamic voltage [...] Read more.
Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach to dynamic voltage and frequency scaling (DVFS) on CPU, GPU and RAM in a mobile MPSoC, which caters to the performance requirements of the executing application while consuming low power. We evaluate our methodology on a real hardware platform, Odroid XU4, and the experimental results prove the approach to be 26% more power-efficient and 21% more thermal-efficient compared to the state-of-the-art system. Full article
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