Wireless Communications and Mobile Computing

Emerging Advanced Data Offloading Technologies for Urban Internet of Things 2022

Publishing date
01 Jan 2023
Submission deadline
19 Aug 2022

Lead Editor

1Dalian University of Technology, Dalian, China

2Rowan University, Glassboro, USA

3Northeastern University, Northeastern, China

4Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University, Jilin, China

This issue is now closed for submissions.

Emerging Advanced Data Offloading Technologies for Urban Internet of Things 2022

This issue is now closed for submissions.


Urban Internet of things (Urban IoT) will play a vital role in our daily lives to achieve the concepts of smart cities, urban brains, etc., by handling continuously generated data from sensors deployed in the city. However, the unprecedentedly large amount of sensing data generated also brings challenges for Urban IoT, i.e. how to offload these sensing data to suitable processing facilities and provide high-quality services.

Sensors and devices are usually resource-constrained and heterogeneous in that the communication, computing, storage, and battery capacities are differing and limited. Additionally, the architecture of urban IoT is also sophisticated in that the urban IoT service usually processes sensing data from different kinds of sensors and devices depending on its requirement and guaranteeing the quality of experiences, devices are equipped with different communication modules. To improve the quality of urban IoT services, many efforts have been made from both academia and industry to study frameworks, architectures, mechanisms, and algorithms for effective data offloading of urban IoT, such as integrating edge/fog computing frameworks, mobile crowdsourcing, next generation communication technologies (i.e. 5G, 6G, etc.), AI-enabled algorithms, human machine hybrid methods, and others. Nonetheless, there is still much progress to be made before deploying the concept of urban IoT in practice.

The goal of this Special Issue is to collate articles with a focus on challenging issues in the field of data offloading frameworks, technologies, algorithms, frameworks, architectures, and applications for urban IoT services. Both theoretical and experimental contributions containing novel applications with new insights and findings in the field of Urban IoT are welcome. Review articles which detail the current state of the art are also welcome.

Potential topics include but are not limited to the following:

  • Emerging advanced data offloading techniques, frameworks, and algorithms for urban IoT
  • Edge/fog computing framework for data offloading for urban IoT
  • Next generation wireless communication technologies for data offloading for urban IoT
  • Data collecting, communicating, and processing mechanisms/algorithms for urban IoT
  • Crowdsourcing-enabled data offloading techniques for urban IoT
  • Data offloading in heterogeneous network scenarios for urban IoT
  • AI-enabled techniques for data offloading for urban IoT
  • Human machine hybrid data offloading for urban IoT
  • Data offloading mechanisms for resource-constrained urban IoT
  • QoE-aware data offloading mechanisms for urban IoT services and applications
  • Other innovative techniques for urban IoT data offloading
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.