Mobile Information Systems

Advanced Technologies for Mobile IoT and Cyber-Physical Systems

Publishing date
20 May 2016
Submission deadline
01 Jan 2016

Lead Editor

1Hanyang University, Ansan, Republic of Korea

2Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea

3Hong Kong Polytechnic University, Hong Kong

4University of Illinois at Urbana-Champaign, Champaign, USA

5State University of New York, Buffalo, USA

Advanced Technologies for Mobile IoT and Cyber-Physical Systems


As computing and communication capabilities become both faster and cheaper, we can expect to find them embedded in diverse objects and structures in the physical environment, providing the basis for applications which link the “cyber-world” of computing and communications with the physical world and have the potential for enormous social and economic impact. These applications, which are the foundation of cyber-physical systems (CPS), are necessarily enabled by “internet of things” (IoT) architectures and protocols. This combination of IoT and CPS facilitates the collection, management and processing of large datasets, and the support of complex processes to manage and control physical systems at different scales.

In particular, mobile IoT/CPS is concerned with the provision of IoT-enabled CPS for mobile objects and devices. Mobile internet devices, such as the iPhone and Android phones, with their increasing processing power, range of sensors, and pervasive cellular connections, already provide ubiquitous platforms for building robust, reliable, and secure mobile IoT/CPS applications. The objective of this special issue is to contribute to the direction of research on mobile IoT/CPS by addressing issues critical to mobility, from advances in the underlying science to the challenges of development and implementation.

Potential topics include, but are not limited to:

  • Enabling location-based services (LBS) in IoT/CPS
  • Customized wireless, mobile, and IoT technologies for CPS
  • Mobile devices and embedded software platforms for cyber-physical computing
  • Physical sensing, cyber computation and decision, and mobile actuation in CPS
  • Examining the state-of-the-art analytical techniques for performance evaluation of mobile IoT/CPS
  • Energy-efficient design for green IT
  • Real-time control, computing and cloud-based mobile IoT/CPS
  • Emerging mobile applications of IoT/CPS: mobile healthcare, transportation, automation, smart grid, location intelligence, smart cities, ubiquitous information systems, and data ontologies
  • Empirical case studies in mobile IoT/CPS for demonstrating their potentials
  • Exploring authentication, confidentiality, integrity, and privacy issues in mobile IoT/CPS
  • Architecture issues and design tools for mobile IoT/CPS


  • Special Issue
  • - Volume 2016
  • - Article ID 7968707
  • - Editorial

Advanced Technologies for Mobile IoT and Cyber-Physical Systems

Kyungtae Kang | Kyung-Joon Park | ... | Wenyao Xu
  • Special Issue
  • - Volume 2016
  • - Article ID 6545873
  • - Research Article

Efficient Attribute-Based Secure Data Sharing with Hidden Policies and Traceability in Mobile Health Networks

Changhee Hahn | Hyunsoo Kwon | Junbeom Hur
  • Special Issue
  • - Volume 2016
  • - Article ID 2316757
  • - Research Article

Energy-Efficient Real-Time Human Activity Recognition on Smart Mobile Devices

Jin Lee | Jungsun Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 3727865
  • - Research Article

Dynamic Vehicular Route Guidance Using Traffic Prediction Information

Kwangsoo Kim | Minseok Kwon | ... | Yongsoon Eun
  • Special Issue
  • - Volume 2016
  • - Article ID 1042525
  • - Research Article

A Dynamic Programming Solution for Energy-Optimal Video Playback on Mobile Devices

Minseok Song | Jinhan Park
  • Special Issue
  • - Volume 2016
  • - Article ID 3414816
  • - Research Article

Control-Scheduling Codesign Exploiting Trade-Off between Task Periods and Deadlines

Hyun-Jun Cha | Woo-Hyuk Jeong | Jong-Chan Kim
  • Special Issue
  • - Volume 2015
  • - Article ID 406327
  • - Research Article

A Remote Medical Monitoring System for Heart Failure Prognosis

Liangqing Zhang | Cuirong Yu | ... | Jie Ren
Mobile Information Systems
 Journal metrics
See full report
Acceptance rate43%
Submission to final decision48 days
Acceptance to publication25 days
Journal Citation Indicator-
Impact Factor-

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.