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Special Issue Call for Papers
Theme
The primary source of submissions for this special issue will be the refined versions of selected papers originally presented at the 11th Asian Conference on Pattern Languages of Programs, People & Practices (AsianPLoP 2025). AsianPLoP, the Asian edition of PLoP, is a premier event for pattern enthusiasts to gather, discuss, and learn. Focused initially on software-related patterns and pattern languages, PLoP has expanded into all aspects of the built world anything designed and made by people, including organizations, culture, and individual practice. The recent, wide-ranging developments led the Hillside Group to rename PLoP to Pattern Languages of Programs, People & Practices starting in 2024.
Now, we are at another juncture where patterns and pattern languages can help make a difference. Artificial intelligence (AI) has developed rapidly recently, especially with large language models (LLMs) permeating various fields. An important research direction will be to utilize pattern languages to describe the design of AI and LLM-based applications across different domains. Therefore, the central theme of AsianPLoP 2025 will focus on AI Patterns and related issues. We hope to bring together researchers from Asia and other regions of the world come together to explore this new direction. Of course, submissions on the more traditional patterns and pattern languages are welcome, too. This special issue also welcomes submissions from authors beyond those participating in the conference. Scope
This special issue solicits manuscripts on patterns and patterns languages and experiences reports on applying them. The topics include patterns and pattern languages related to software development and artificial intelligence but are not limited to the following themes:
Author’s Guidelines
Submissions must adhere to the formatting guidelines outlined by the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-25aplPublication Schedule
Manuscript Submission Deadline: June 30, 2025Authors Notification Date: December 31, 2025 Camera-ready Version Due: January 31, 2025 Tentative Publication Date: May 1, 2026 Guest Editors
Aim
The special issues on Connected Intelligence Technologies for a Sustainable Future address the latest developments and applications related to the challenges of securing clean and sustainable energy sources for the 21st century to protect the environment. It is based on the Internaonal Conference on Green Energy, Compung and Intelligent Technology (GEn-CITy 2024), which will be held virtually between 11th December 2024 to 13th December 2024 (htps://gencity.southamptonmalaysia.edu.my/). The special issues include the selected extended best papers of GEn-CITy 2024 after going through the rigorous review process.
Scope
Papers are beseeched on the most recent findings from the newest developments in technologies and applications of Green Computing, Communications and Networks, Green Energy and Power Systems and Smart Grid, Intelligent Systems and Sensors, Green Materials, Aerospace, Aeronautical and Astronautical engineering. Topics include, but not limited to:
Author’s Guidelines
The submited manuscript should be an extended version of the one submited to the GEn-CITy 2024 conference. It must contain a significant amount, at least 30%, of new findings. In addition, in the extended version of the submited paper, the original conference paper should be cited. Further, the extended paper should have a new title, abstract, experimental or simulaon results with more detail discussions and analysis.
In particular, a new title, abstract, experimental or simulation results with more detail discussion and analysis should be added.
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-24gecPublication Schedule
Manuscript Submission Deadline: June 30, 2025Notification of acceptance: September 31, 2025 Camera-ready Version Due: December 31, 2025 Tentative Publication Date: March 1, 2026 Guest Editors
Aim
Artificial Intelligence (AI) is at the forefront of transforming organizations by enabling them to handle increasingly massive and complex datasets, providing critical insights and decision support. As the volume of information grows, AI research is tackling the challenge of turning data overload into strategic opportunities, pushing the boundaries of automated learning, prediction, and adaptive technologies that benefit a wide range of domains. Advanced AI applications require robust and interactive visual tools, algorithms, and innovative techniques that bridge computer science, engineering, and business, ultimately synthesizing data into actionable knowledge.
This special issue seeks submissions that advance the theoretical, technical, and applied facets of AI in information science, showcasing novel interdisciplinary approaches and groundbreaking applications.
This Special Issue is organized with the 13th World Conference on Information Systems and Technologies (WorldCist25) (http://www.worldcist.org/index.php), promoting cutting-edge AI research and innovation in a globally competitive context. The conference provides a platform for identifying future directions in AI and fosters collaboration between researchers and practitioners through a rigorous, peer-reviewed program of technical sessions and workshops.
This special issue will feature selected, extended papers from WorldCist25, further refined through a comprehensive review process. Scope
Submissions are invited on innovative research in Information Science and Artificial Intelligence. Topics of interest include, but are not limited to:
Author’s Guidelines
The manuscript must be an extended version of the one submitted to the conference. It must contain a significant amount, at least 30%, of new material. In addition, it must cite the conference paper.
In particular, a new title, abstract, experimental or simulation results with more detail discussion and analysis should be added.
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-25cistPublication Schedule
Manuscript Submission Deadline: August 31, 2025Notification of acceptance: November 30, 2025 Camera-ready Version Due: December 31, 2025 Tentative Publication Date: March 1, 2026 Guest Editors
Aim and Scope
Autonomous underwater vehicles may travel underwater without the need for human assistance. With their sophisticated sensors, cameras, and mapping systems, they give academics a plethora of data regarding the ocean environment. Unmanned underwater vehicles are extensively employed in underwater scientific, commercial, and military purposes are certain uses necessitate precise positioning and control of the course. The main focus of research and development for these vehicles is still on modelling, system identification, and control. AUV hulls are often constructed from composite materials or metal alloys like titanium and aluminium alloy. The advantages of composite materials, such as their light weight, resistance to corrosion, and design freedom, are well known. Underwater vehicles that can function underwater without a human occupant are identified as unmanned underwater vehicles, sometimes referred to as underwater drones and uncrewed underwater vehicles. These vehicles can be separated into two groups are autonomous underwater vehicles and remotely operated underwater vehicles.
AUVs can be deployed in difficult littoral waters for surveying, classifying, and mapping purposes, with the goal of obtaining useful data. By using the sonar images they collect, operators can reduce danger and save time by making more informed decisions. The development of autonomous vehicle technology, which attempts to lessen traffic, energy use, pollution, and collisions while also improving accessibility for transportation, is now a possibility thanks to these technologies. Increased safety is the first advantage that an autonomous future would bring. If autonomous vehicles were to become widely deployed, it is likely that the number of crashes resulting from careless and unexpected driving would drastically decline. This reduces the risk that drivers of vehicles face when travelling to various locations. AUVs are very beneficial for carrying out challenging activities in the water. An AUV primary benefit is that it can operate without a human operator. As a result, it costs less than a vehicle driven by a human and can perform tasks that would be too risky for a human to perform. Propellers or accelerators are powered by onboard electrical sources in fully autonomous operations, which allow the vehicle to move through the water. The weight of an AUV can vary greatly, weighing anything from a few hundred to several thousand kilograms. They could glide from the ocean surface to its depths and return, or they could come to a standstill, hover, and then take off into the air like blimps or aircraft. Power is carried onboard by fully autonomous operations. Devices can wirelessly link to a cloud system thanks to the Internet of Things. For example, the vehicle is connected to an Internet of Things based technological system that transmits data on the road the vehicle is travelling on as well as the vehicle itself while it is in motion. The development of autonomous vehicle technology, which attempts to lessen traffic, energy use, pollution, and collisions while also improving accessibility for transportation, is now a possibility thanks to these technologies. It may be possible for autonomous cars to lower the amount of accidents brought on by human mistake. Contributions are invited from a range of disciplines and perspectives, including, but not restricted to: Role of IoT in Enhancing Autonomous Underwater Vehicle (AUV) Operations for Marine Research. Topics
Potential topics include but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-auvPublication Schedule
Manuscript Submission Deadline: April 25, 2025Notification of Acceptance/Rejection/Revision: September 30, 2025 Final Manuscript Due: October 30, 2025 Tentative Publication Date: March 1, 2026 Guest Editors
Aim and Scope
Real-time video surveillance systems have created pattern recognition, a crucial feature in today's security infrastructure. These systems can quickly collect and analyse video data to identify and anticipate unusual behaviour or possible safety threats using soft computing approaches. The increasing interest in enhanced security in both public and private areas has led to a significant demand for advanced video surveillance systems. Traditional methods often fail in two domains such as large data sets and changing situations. Soft computing approaches are perfect for real-time surveillance applications because they are flexible, robust, and have the capacity to learn from data. Integrating pattern recognition in video surveillance for enhancing video quality and filtering noise through preprocessing, capturing video footage with cameras, finding relevant features from the video frames, and utilizing algorithms to detect patterns and anomalies.
Advanced technologies are used by video surveillance systems to effectively recognize things and identify patterns. They use support vector machines to classify objects, genetic algorithms to improve detection accuracy, and fuzzy logic to handle uncertainty in video data. For optimal performance, several systems combine these techniques. Convolutional neural networks (CNNs), is a type of deep learning model, utilized for tasks including object detection in motion pictures and facial recognition. Edge computing reduces latency and internet consumption by processing data closer to its source. YOLO and Faster R-CNN are two examples of innovative neural network designs that have improved object detection capabilities significantly. The combination of Internet of Things (IoT) devices and video surveillance has improved monitoring capabilities, increasing the effectiveness and responsiveness of surveillance. Future developments in AI and machine learning, such as more efficient real-time analytics algorithms, increased accuracy with less false positives, and the development of fully autonomous surveillance systems that make decisions without the need for human intervention, may be facilitated by pattern recognition in video surveillance. Despite its potential, it has several challenges include ensuring data privacy, handling massive amounts of data and large-scale deployments, and adapting to various conditions. To overcome these challenges, advanced encryption is required to protect data, creating scalable and flexible modular systems, and incorporating adaptive algorithms to learn continuously and evolve with new data. However, the field of security is being revolutionized by pattern recognition in real-time video surveillance systems using soft computing. We accept submissions from a variety of fields and viewpoints, such as but not limited to: Pattern Recognition in Real-Time Video Surveillance Systems Using Soft Computing. Topics
Potential topics include but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-prvPublication Schedule
Manuscript Submission Deadline: April 25, 2025Notification of Acceptance/Rejection/Revision: September 30, 2025 Final Manuscript Due: October 30, 2025 Tentative Publication Date: March 1, 2026 Guest Editors
Information Centric Wireless Communication (ICWC) with Edge Fog Computing for 5G and beyond IoT Applications
Aim and Scope
With the growing number of connected devices and the increasing volume of data generated by IoT applications, traditional network architectures are unable to handle the data traffic efficiently. Edge fog computing provides a distributed computing infrastructure at the edge of the network, enabling data to be processed and analyzed closer to the source, reducing latency and improving network performance. Additionally, ICWC allows for content-centric communication, enabling more efficient data distribution and reducing network congestion, making it a critical technology for enabling the success of 5G and beyond IoT applications. The combination of ICWC and edge fog computing is particularly suited for IoT applications, where data is generated and consumed at the edge of the network. For example, in smart homes, sensors generate data that needs to be processed and analyzed in real-time to enable automation and control. With ICWC and edge fog computing, the processing and analysis can be done at the edge of the network, reducing the need for data to be transmitted to a centralized server, which can be slow and unreliable.
On the other hand, ICWC and edge fog computing also offer several benefits for 5G applications, such as ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC). In URLLC applications, such as remote surgery and autonomous vehicles, low latency is critical for ensuring real-time communication and decision-making. With edge fog computing, data can be processed and analyzed closer to the source, reducing latency and improving network performance. Similarly, in mMTC applications, such as smart cities and industrial automation, ICWC can enable efficient data distribution and reduce network congestion. One of the challenges of implementing ICWC with edge fog computing is the need for a new network architecture that supports content-centric communication. This requires new protocols and standards for data naming, caching, and distribution, as well as a distributed computing infrastructure at the edge of the network. Additionally, privacy and security concerns must be addressed to ensure that data is protected and only accessed by authorized parties. This special issue on Information Centric Wireless Communication with Edge Fog Computing for 5G and beyond IoT applications aims to provide a platform for researchers and practitioners to share their latest findings, innovations, and challenges related to the development, deployment, and evaluation of Information Centric Wireless Communication with Edge Fog Computing for 5G and beyond IoT applications. The special issue welcomes contributions that focus on novel protocols, architectures, algorithms, and use cases related to ICWC and edge fog computing, and encourages interdisciplinary research that addresses the technical, social, economic, and environmental aspects of the technology. The goal is to advance the state-of-the-art in ICWC and edge fog computing, and to facilitate the integration of these technologies into practical applications and systems that can benefit society and the industry. Topics
Potential topics include but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-icwPublication Schedule
Manuscript Submission Deadline: April 5, 2025Notification of Acceptance/Rejection/Revision: August 31, 2025 Final Manuscript Due: September 30, 2025 Tentative Publication Date: January 1, 2025 Guest Editors
Theme
With the advent of new technology and satellites that can provide high-quality, daily updated imagery, we are moving into a new era in automated data acquisition and analysis of satellite imagery. Satellite imagery has become an important tool for managing environmental and climate change risks, but it is costly and time-consuming to collect. New Era is a disruptive technology that automates satellite imagery collection, processing, and analysis. This enables businesses to reduce costs and gain intelligence more quickly. The possibility to capture and process large amounts of data from Earth observation satellites, even though it is difficult to store and archive, has opened up new opportunities to create a range of applications that use remote sensing data and products. In recent years, several attempts have been made to develop automated methods for satellite image acquisition and analysis. Data acquisition is performed employing an automated system that can be deployed in any location where there is direct access to a satellite antenna. The system receives information on the latitude, longitude and elevation of the single locations where it is deployed so that the position of each source pixel may be determined automatically using photogrammetric methods. Automatic image analysis systems allow users to extract information from satellite images. Still, they are difficult to program because they require complex algorithms along with multiple parameters related to the physical characteristics of the area being analyzed.
Current systems are inadequate to acquire, analyze and disseminate local Earth observations. These systems demand high levels of availability and security, which drives up the costs of space operation. Satellite images may provide information on crop conditions, soil moisture, and other parameters which can be used to predict drought. The current research methods need to be standardized for reproducible results, especially automated methods of data acquisition and analysis. Therefore new research is needed to improve automated data acquisition and analysis of satellite imagery so that we can access information faster and cheaper. There is a need for systematic and standardized methods of automated data acquisition and analysis of satellite imagery. More research is needed on assessing the quality of remotely sensed data, improving methods of extracting information from remote sensing datasets, better understanding object detection algorithms, and improving evaluation methods to develop a more accurate assessment for crop yield and quality estimations. The advent of modern satellites, coupled with machine learning algorithms, has spawned a new era in remote sensing. This special issue aims to explore this new era in satellite image analysis and demonstrate its impact on our understanding of Earth processes such as land use/land cover change, social-ecological systems, and water quality monitoring. We welcome research papers on any aspect related to this theme that can further our understanding of how remote sensing data can complement traditional fieldwork methodologies. Scope
Potential topics include but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/surl/jise-dsiPublication Schedule
Manuscript Submission Deadline: August 25, 2024Notification of Acceptance/Rejection/Revision: January, 2025 Final Manuscript Due: February 28, 2025 Tentative Publication Date: September 1, 2025 Guest Editors
Special Issue on Emerging Trends of Software Development and Application Technologies: Bridging Education and Practice
Theme
The primary source of submissions for this special issue will be the refined versions of selected papers originally presented at the 20th Taiwan Conference on Software Engineering (TCSE 2024). Themed "Retrospective and Prospective Look: 20 Years of Software Engineering Development in Taiwan," the conference will convene in Taipei, Taiwan. Since its establishment in 2005, TCSE has served as a platform for researchers to share their findings in software engineering. This special issue also welcomes submissions from authors beyond those participating in the conference.
This special issue aims to explore the dynamic landscape of software development and application technologies, focusing on the latest trends and innovations shaping the industry. In today’s rapidly evolving digital ecosystem, keeping abreast of emerging technologies and their applications is crucial for both practitioners and educators in the field of software engineering. This special issue invites contributions that delve into various aspects of software development and application technologies, including but not limited to programming languages, development methodologies, software architecture, DevOps practices, and emerging paradigms. Authors are encouraged to explore how these technologies are transforming the way software is developed, deployed, and utilized across different domains. Furthermore, this special issue warmly welcomes submissions that examine the intersection of education and practice in the realm of software development and application technologies. Authors are invited to share insights on innovative educational approaches, curricular innovations, industry-academia collaborations, and experiential learning initiatives aimed at preparing students and professionals for the demands of the modern software industry.
Scope
The major topics of interest are outlined below but are not restricted to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
For inquiries regarding this special issue, please contact the guest editors. All submitted papers will undergo rigorous peer review by a minimum of three reviewers, assessed for originality, significance, relevance, and clarity. Manuscripts should be prepared according to the JISE Word (or LaTeX) standard and converted into a PDF for submission. Electronic submissions should be submitted to SI_Auto_Submit_System at closePublication Schedule
Manuscript Submission Deadline: October 31, 2024Notification of Acceptance/Rejection/Revision: March 31, 2025 Final Manuscript Due: April 30, 2025 Tentative Publication Date: September, 2025 Guest Editors
Aim
The special issues on Combinatorial Mathematics and Computation Theory cover the various
aspects of evolving algorithms related to Combinatorial Mathematics. It is based on the 41st Symposium on Combinatorial Mathematics and Computation Theory (CMCT2024) which will be held at University of Taipei, Taipei on May 17-18, 2024 (CMCT 2024) (). The main purpose of this symposium is to provide an opportunity for the experts of combinatorics, discrete mathematics, computational theory, algorithm, network computing, bioinformatics, and other research fields to gather together to discuss their recent research and promote other academic exchange.
The special issues include the selected extended best papers of CMCT2024 after going through the review process.Scope
Papers are solicited on the latest results from the recent advancement in technologies and applications of combinatorics, discrete mathematics, computational theory, algorithm, network computing, and bioinformatics. Topics include, but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
Any questions regarding this special issue should be sent to the guest editor, Dr. Ling-Ju Hung. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The manuscript should be prepared in JISE Word (or Latex) standard and converted into a PDF for auto-submission system. Electronic paper should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/url/jise-24cmtPublication Schedule
Manuscript Submission Deadline: November 30, 2024Notification of Acceptance/Rejection/Revision: February 28, 2025 Final Manuscript Due: March 31, 2025 Tentative Publication Date: July, 2025 Guest Editors
Theme
The International Conference on Intelligent Science and Sustainable Development (ISASD 2024) is one of the international conferences in the area of multimedia, communication, education, and systems. The ISASD was first organized in Japan since 2023; it provides consistently a forum for the presentation of the latest research results in Intelligent Science and Sustainable Development. ISASD 2024 will provide an open platform to exchange each other’s research results and experience in the topics from Intelligent Science and Sustainable Development and other related fields. This conference features all recent advances in an integral concept that highlights the trends in advanced theory, systems and applications in Intelligent Science and Sustainable Development. The special issue includes excellent papers presented on ISASD 2024. This special issue also welcomes the original contribution that addresses on technologies and applications of AI and Sustainable Development. All interested researchers are invited to contribute to this special issue. All articles will be thoroughly refereed according to the high standards of Journal of Information Science and Engineering.
Topics of interest include, but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
Any questions regarding this special issue should be sent to the guest editors. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The manuscript should be prepared in JISE Word (or Latex) standard and converted into a PDF for auto-submission system. Electronic paper should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/url/jise-isdPublication Schedule
Manuscript Submission Deadline: August 1, 2024Notification of Acceptance/Rejection/Revision: October 31, 2024 Final Manuscript Due: December 31, 2024 Tentative Publication Date: May, 2025 Guest Editors
Aims and Scopes
With the rapid advent of various expanding research on wireless mobile networks, such as MANETs，VANETs, CCNs, WSNs, and IoT etc., more and more smart mobile devices (e.g. smart phones, smart-watches, smart-glasses, personal wearable communication devices and wearable healthcare devices, etc.) have been designed to adapt to the development of wireless mobile networks, which indicates that we are entering an era of smart society. By leveraging the wireless mobile networks, smart mobile devices can communicate with each other and exchange information to perform the optimal control or display necessary information anytime and anywhere. Although there have been large numbers of research efforts relevant to this area, it is still necessary to address many challenges of wireless mobile networks by utilizing ongoing works. On one hand, the efficient resource utilization in terms of energy consumption, radio resource allocation, routing selection etc., is still a big challenge in wireless mobile networks. On the other hand, the deployment of exiting wireless mobile networks lacks appropriate monitoring, response mechanisms and cognitive ability etc. Therefore, building “advanced” wireless mobile networks with the features of intelligent and cooperative communication, cross-layer optimization, and security-guarantee etc. has become an utmost important and urgent task to be solved.
The aim of this special issue is to motivate researchers to publish their latest research, up-to-date issues, and challenges in the field of wireless mobile networks. Proposed submissions should be original and unpublished.
Potential topics include, but are not limited to:
Author’s Guidelines
The submissions should follow the formatting guidelines of the Journal of Information Science and Engineering (https://jise.iis.sinica.edu.tw/pages/authors/manuscripts.html).
Any questions regarding this special issue should be sent to the guest editors. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The manuscript should be prepared in JISE Word (or Latex) standard and converted into a PDF for auto-submission system. Electronic paper should be submitted to SI_Auto_Submit_System at https://journal.iis.sinica.edu.tw/url/jise-ncsPublication Schedule
Manuscript Submission Deadline: September 30, 2025Notification of Acceptance/Rejection/Revision: December 31, 2025 Final Manuscript Due: January 31, 2026 Tentative Publication Date: March, 2026 Guest Editors
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