Meta-Computing for Collaborative Intelligence in Smart Cities

Submission Deadline: 31 March 2025 View: 185 Submit to Special Issue

Guest Editors

Dr. Muhammad Adil

Email: muhammad.adil@ieee.org

Affiliation: Department of Computer Science and Engineering, University at Buffalo, The USA

Homepage:

Research Interests: networking, cybersecurity, IoT, cyber physical systems, wireless sensor network, smart cities

Dr. Ahmed Farouk

Email: ahmedfarouk@ieee.org

Affiliation: South Valley University, UoT, Post-Doc at Wilfrid Laurier and CRL Ryerson, Egypt

Homepage:

Research Interests: information security, cybersecurity quantum communication and cryptography, blockchain

Summary

In the fast-paced evolution of smart city technologies, Meta-Computing for Collaborative Intelligence is indeed a revolutionary concept where devices evolve from simple data-gathering entities into key components of a highly connected intelligence network. The vision presented is of a dynamic urban environment where devices not only collect and analyze data but also communicate and cooperate to improve their functionality and efficiency. This vision also gives rise to highly complex challenges of coordination, particularly within environments where devices must be capable of acting without a centralized management system.

Meta-computing refers to the organization of computing resources, which are distributed across heterogeneous environments for their optimization. Thus, meta-computing in smart cities empowers urban devices beyond their functions. Thereby contributing to higher decision-making processes through information and resource sharing. In such a model, each device is self-interested to work independently for the betterment of the network.

Therefore, this special issue aims to bring researchers together to discuss the practical developments in using meta-computing to support collaborative intelligence in smart cities. It will showcase the wide spectrum of theories and real-world problems of the challenges in the implementation process. Discussions will focus on how to take the isolated device operations into integrated, decentralized decision-making processes to bring about a new era in smart city development. Nowadays, devices in urban environments can cooperate without the presence of a central controller by facilitating each other's capabilities to achieve higher efficiency and productivity.

Such deep analysis is likely to provide granular insights into the subject and form a very strong foundation for further research in centralized and decentralized smart city systems and innovations in times to come. The topics of interest include, but are not limited to, the following:

Designing algorithms for decentralized information sharing in smart cities

The development of a cross-device learning framework for smart cities

Protocols for dynamic resource management in decentralized smart cities systems.

Collaborative learning architecture for Meta-Computing in smart cities

Security challenges in meta-computing architecture for smart cities 

Collaborative communication protocols Meta-computing systems.

Hardware and Software challenges in Meta-Computing infrastructure of smart cities.

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