New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
This work addresses critical problems for IoT developers and researchers by highlighting open challenges, but it is incremental as it synthesizes existing knowledge without presenting new experimental results.
The paper identifies unique challenges in IoT systems, such as resource constraints and heterogeneity, and explores how advancements in areas like 5G and machine learning can address these issues to improve reliability, security, and privacy.
The field of IoT has blossomed and is positively influencing many application domains. In this paper, we bring out the unique challenges this field poses to research in computer systems and networking. The unique challenges arise from the unique characteristics of IoT systems such as the diversity of application domains where they are used and the increasingly demanding protocols they are being called upon to run (such as, video and LIDAR processing) on constrained resources (on-node and network). We show how these open challenges can benefit from foundations laid in other areas, such as, 5G cellular protocols, ML model reduction, and device-edge-cloud offloading. We then discuss the unique challenges for reliability, security, and privacy posed by IoT systems due to their salient characteristics which include heterogeneity of devices and protocols, dependence on the physical environment, and the close coupling with humans. We again show how the open research challenges benefit from reliability, security, and privacy advancements in other areas. We conclude by providing a vision for a desirable end state for IoT systems.