Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
arxiv(2024)
摘要
The adoption of the Internet of Things (IoT) deployments has led to a sharp
increase in network traffic as a vast number of IoT devices communicate with
each other and IoT services through the IoT-edge-cloud continuum. This network
traffic increase poses a major challenge to the global communications
infrastructure since it hinders communication performance and also puts
significant strain on the energy consumption of IoT devices. To address these
issues, efficient and collaborative IoT solutions which enable information
exchange while reducing the transmitted data and associated network traffic are
crucial. This survey provides a comprehensive overview of the communication
technologies and protocols as well as data reduction strategies that contribute
to this goal. First, we present a comparative analysis of prevalent
communication technologies in the IoT domain, highlighting their unique
characteristics and exploring the potential for protocol composition and joint
usage to enhance overall communication efficiency within the IoT-edge-cloud
continuum. Next, we investigate various data traffic reduction techniques
tailored to the IoT-edge-cloud context and evaluate their applicability and
effectiveness on resource-constrained and devices. Finally, we investigate the
emerging concepts that have the potential to further reduce the communication
overhead in the IoT-edge-cloud continuum, including cross-layer optimization
strategies and Edge AI techniques for IoT data reduction. The paper offers a
comprehensive roadmap for developing efficient and scalable solutions across
the layers of the IoT-edge-cloud continuum that are beneficial for real-time
processing to alleviate network congestion in complex IoT environments.
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