ieee research papers on mobile computing

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IEEE Transactions on Mobile Computing focuses on the key technical issues related to (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest include, but are not limited to, the following:

• Architectures - Mobile networks and hosts, Agents and proxies, Mobility management, mobile agent and proxy architectures Integrated wireline and wireless systems, Planning and standardization.
• Support Services - Mobility and roaming, Nomadic computing, Multimedia Operating system support, Power management.
• Algorithm/Protocol Design and Analysis - Online and mobile environments, Limited bandwidth, Intermittent connectivity.
• Mobile Environments - Data and knowledge management, Performance modeling and characterization, Security, scalability and reliability, Design, management and operation, Systems and technologies.
• Mobile Communication Systems - Wireless, cellular and spread-spectrum systems, Multi-user and multi-access techniques and algorithms, Multi-channel processing, Channel coding, Data coding and compression.
• Applications - Location-dependent and sensitive, Nomadic computing, Wearable computers and body area networks, Multimedia applications and multimedia signal processing, Pervasive computing, Wireless sensor networks.
• Emerging Technologies.

This publication considers original works that enhance the existing body of knowledge. Original review articles and surveys are acceptable, even if new data/concepts are not presented. Results described in the article should not have been submitted or published elsewhere. Expanded versions of conference publications may be submitted. Articles must be intelligible and must be written in standard English.

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Editor-in-chief transactions on mobile computing, associate editor-in-chief transactions on mobile computing, falko dressler, eylem ekici.

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Mobile Computing and Databases-A Survey

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IEEE Transactions on Knowledge and Data Engineering

The emergence of powerful portable computers, along with advances in wireless communication technologies, has made mobile computing a reality. Among the applications that are finding their way to the market of mobile computing those that involve data management hold a prominent position. In the past few years, there has been a tremendous surge of research in the area of data management in mobile computing. This research has produced interesting results in areas such as data dissemination over limited bandwidth channels, location-dependent querying of data, and advanced interfaces for mobile computers. This paper is an effort to survey these techniques and to classify this research in a few broad areas.

Index Terms

Computer systems organization

Architectures

Parallel architectures

Cellular architectures

Network types

Mobile networks

Wireless access networks

Software and its engineering

Software notations and tools

General programming languages

Language features

Data types and structures

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• Published: 1 January 1999

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• Mobile computing
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• location-dependent queries
• transaction management.
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The fusion of mobile communications, computing, and intelligence is catalyzing the emergence of innovative systems and applications that facilitate intelligent resource provisioning, process extensive data from mobile sensors and interconnected hardware platforms, and bolster the Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The pivotal role of current and forthcoming communication technologies, machine learning implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be understated. These mobile intelligent applications are poised to revolutionize various facets of daily life, encompassing domains such as transportation, e-commerce, healthcare, smart homes, smart cities, social interaction, and more.

Mobile intelligence serves as an inclusive platform for both academic and industrial researchers to share their latest research insights, experimental findings, and the latest advancements in industry technologies related to mobile systems, machine learning, edge and cloud computing, services, and engineering. Leveraging the synergy of mobile communications, machine intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence Systems is envisioned to provide a multitude of critical and personalized services across diverse application domains, ranging from education, transportation, to public health, safety, and security. Submissions will be evaluated on the criteria of originality, significance, clarity, relevance, and accuracy.

Topics of Interest: (include but not limited to)

Theory, Modeling, and Methodologies

• Mobile cloud computing models, architectures, infrastructures, and platforms
• Mobile intelligence theories, concepts, algorithms, and methodologies
• Mobile cloud data management
• Mobile cloud tools, middleware, and data centers
• Mobile intelligence as a service
• Mobile networking, protocols, and technologies
• Quality of service (QoS)
• Mobile intelligence security and privacy

Applications and Industry Practice

• Mobile intelligence for autonomous driving systems, V2X, intelligent transportation systems (ITS), telematics
• Mobile intelligence for robotics, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs)
• Mobile intelligence for sensor networks, Industrial IoT, industrial 4.0, and industry 5.0 
• Mobile intelligence for future wireless technologies, 5G/6G, WiFi, Satellite, etc.
• Mobile intelligence for aviation, airports, and railway
• Mobile intelligence for Augmented Reality/Virtual Reality (AR/VR)
• Mobile intelligence for computer vision and video analytics
• Mobile intelligence for surveillance and disaster management
• Mobile intelligence for healthcare
• Mobile intelligence for metaverse
• Mobile intelligence for smart city
• Mobile intelligence for mission-critical systems
• Mobile intelligence for community services and social networking
• Mobile intelligence computing for sustainable development

Important Dates (AoE)

• Full and work-in-progress papers submission: April 7th, 2024 , May 7th, 2024 
• Notification: May 15th, 2024 , May 31th, 2024
• Final manuscript submission and author registration: May 22nd, 2024
• Conference: July 15th-18th, 2024

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An Optimal Novel Approach for Dynamic Energy-Efficient Task Offloading in Mobile Edge-Cloud Computing Networks

• Original Research
• Published: 15 June 2024
• Volume 5 , article number  655 , ( 2024 )

Cite this article

• Avijit Mondal   ORCID: orcid.org/0009-0002-1016-2778 1 ,
• Pinaki Sankar Chatterjee   ORCID: orcid.org/0000-0002-5532-725X 1 &
• Niranjan K. Ray   ORCID: orcid.org/0000-0002-7197-4545 1  

The rapid evolution of mobile devices has greatly advanced secure medical image transmission, yet challenges persist due to resource limitations and security concerns inherent to these devices. In response, this paper introduces a Dynamic Energy-Efficient Offloading Algorithm (DEEO), seamlessly integrated into the Mobile Edge-Cloud Computing (MECC) environment. DEEO empowers mobile devices to efficiently offload computationally intensive secure image transmission tasks to the nearest edge server or fog access point. This integration optimizes resource utilization, minimizes energy consumption, and ensures the confidentiality and integrity of sensitive medical image data. Through rigorous evaluations and comparative analysis, our approach demonstrates clear superiority over existing solutions. This integrated framework is poised to significantly enhance healthcare applications, offering heightened efficiency, elevated security, and an overall improved user experience.

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Data Availability

The data that support the findings of this study include experimental results, processed data, and analytical scripts. These data are not publicly available due to privacy or ethical restrictions. However, detailed information about the methodology and results can be obtained from the corresponding author upon reasonable request.

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Mondal, A., Chatterjee, P.S. & Ray, N.K. An Optimal Novel Approach for Dynamic Energy-Efficient Task Offloading in Mobile Edge-Cloud Computing Networks. SN COMPUT. SCI. 5 , 655 (2024). https://doi.org/10.1007/s42979-024-02992-1

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Mobile Edge Computing

Submission Deadline:  1 December 2017

IEEE Access invites manuscript submissions in the area of Mobile Edge Computing.

Mobile edge computing is emerging as a promising computing architecture by pushing computation and storage closer to end users with both strategically deployed and opportunistic processing and storage resources. Such mechanism is essentially different from the traditional definition of cloud computing. It can provide solutions to problems faced by mobile cloud computing and agile support to a large number of different mobile and Internet of Things (IoT) applications and services, e.g., transport, smart grid, and healthcare. However, to maximize the resource utilization and user service experiences, it is envisioned that mobile edge computing and cloud computing should be designed and operated under a seamless integrated hierarchical architecture. Still, we can see many unprecedented technical challenges for applying mobile edge computing for the emerging mobile and IoT applications.

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Related IEEE Access Special Sections:

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Tamara Silbergleit Lehman earns IEEE Rising Star Service Award for advancing computing technologies

The Rising Star Service Award is presented annually to an individual who is 10 years or less into their career and has contributed to advancing computer science and technology. 

Lehman, who joined the Department of Electrical, Computer & Energy Engineering at CU Boulder in 2019, focuses on all aspects of computer security from the microarchitectural perspective and has led efforts to make computer architecture more inclusive. Her research interests span a wide array of topics at the intersection of computer architecture and security, aiming to design secure processors that are robust against numerous microarchitectural vulnerabilities.

“Receiving this award encourages me to continue doing the work to improve diversity and inclusion within the computer architecture community,” Lehman said. “I hope this service can help make improvements in the diversity of the community.”

Lehman organized the Career Workshop for Inclusion and Diversity in Computer Architecture (CWIDCA) for five years, which is the longest running workshop of its kind among the computer architecture community. The CWIDCA — in conjunction with MICRO, the top-tier conference in computer architecture research — has supported about 30 students annually for its ninth year in creating networks of diverse researchers across companies, universities and countries. She collaborated with fellow co-organizers, including Valentina Salapura of Google, Alan Bivens of IBM, Professor Hyeran Jeon from University of California Merced and Professor Elaheh Sadredini from University of California Riverside. 

As part of her nomination, Professor Yan Solihin from the University of Central Florida remarked, “Tamara goes above and beyond to ensure her role has an impact in the community. It is clear from her impressive record of service and leadership that she truly cares about the success of our community.”

 “I want to thank my friend and mentor Professor Iris Bahar for supporting me throughout the years,” said Lehman, “and Professor Yan Solihin for allowing me to serve in the organizing committee as the Travel Awards chair for the 50th Anniversary of the International Symposium on Computer Architecture.”

Lehman has earned numerous awards, including Outstanding Mentor for the Discovery Learning Apprenticeship and Outstanding Service for Inclusion and Diversity at CU Boulder, as well as the DARPA Risers award for her research that is advancing national security. In 2023, she was invited as a keynote speaker for the International Conference on Engineering Applications of Neural Networks in Spain.

She earned a PhD from Duke University in computer engineering. While completing her PhD, Lehman worked two consecutive summers at Intel Labs with the architectural security team in 2015 and 2016, which produced a patent titled, “Cryptographic Cache Lines for A Trusted Execution Environment.” She completed her master’s degree in computer engineering at Duke University and earned a bachelor’s of science from the University of Florida in industrial and systems engineering. Lehman holds a courtesy appointment in the Department of Computer Science and is a member of the Colorado Research Center for Democracy and Technology .

She has authored 11 publications for major conferences, including the Architectural Support for Programming Languages and Operating Systems, Parallel Architectures and Compilation Techniques and  Computer-Supported Cooperative Work. Additionally, she has  published in several journals, with one article winning the Best Paper award and another  receiving an honorable mention in Micro Top Picks.

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• Electrical, Computer & Energy Engineering
• Paul M. Rady Mechanical Engineering
• Applied Mathematics
• Biomedical Engineering
• Creative Technology & Design
• Engineering Education
• Engineering Management
• Engineering Physics
• Environmental Engineering
• Integrated Design Engineering
• Materials Science & Engineering

Affiliates & Partners

• ATLAS Institute
• BOLD Center
• Colorado Mesa University
• Colorado Space Grant Consortium
• Discovery Learning
• Engineering Honors
• Engineering Leadership
• Entrepreneurship
• Herbst Program for Engineering, Ethics & Society
• Integrated Teaching and Learning
• Global Engineering
• Mortenson Center for Global Engineering
• National Center for Women & Information Technology
• Western Colorado University