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   https://doi.org/10.1109/MC.2020.3023887  

   Christie V, Samuel H. ; Smirnova, Daria ; Chopra, Amit K. ; Singh, Munindar P. ( December 2020 , Computer)
2. Circularity in Energy Harvesting Computational "Things"

   https://doi.org/10.1145/3560905.3568106  

   Arora, Nivedita ; Iyer, Vikram ; Oh, Hyunjoo ; Abowd, Gregory D. ; Hester, Josiah D. ( November 2022 , 10th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems (ENSSys’22))

   We have witnessed explosive growth in computing devices at all scales, in particular with small wireless devices that can permeate most of our physical world. The IoT industry is helping to fuel this insatiable desire for more and more data. We have to balance this growth with an understanding of its environmental impact. Indeed, the ENSsys community must take leadership in putting sustainability up front as a primary design principle for the future of IoT and related areas, expanding the research mandate beyond the intricacies of the computing systems in isolation to encompass and integrate the materials, new applications, and circular lifecycle of electronics in the IoT. Our call to action is seeded with a circularity-focused computing agenda that demands a cross-stack research program for energy-harvesting computational things. 

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3. Design patterns for the industrial Internet of Things

   https://doi.org/10.1109/WFCS.2018.8402353  

   Bloom, Gedare ; Alsulami, Bassma ; Nwafor, Ebelechukwu ; Bertolotti, Ivan Cibrario ( June 2018 , 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS))

   The Internet of Things (IoT) is a vast collection of interconnected sensors, devices, and services that share data and information over the Internet with the objective of leveraging multiple information sources to optimize related systems. The technologies associated with the IoT have significantly improved the quality of many existing applications by reducing costs, improving functionality, increasing access to resources, and enhancing automation. The adoption of IoT by industries has led to the next industrial revolution: Industry 4.0. The rise of the Industrial IoT (IIoT) promises to enhance factory management, process optimization, worker safety, and more. However, the rollout of the IIoT is not without significant issues, and many of these act as major barriers that prevent fully achieving the vision of Industry 4.0. One major area of concern is the security and privacy of the massive datasets that are captured and stored, which may leak information about intellectual property, trade secrets, and other competitive knowledge. As a way forward toward solving security and privacy concerns, we aim in this paper to identify common input-output (I/O) design patterns that exist in applications of the IIoT. These design patterns enable constructing an abstract model representation of data flow semantics used by such applications, and therefore better understand how to secure the information related to IIoT operations. In this paper, we describe communication protocols and identify common I/O design patterns for IIoT applications with an emphasis on data flow in edge devices, which, in the industrial control system (ICS) setting, are most often involved in process control or monitoring. 

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4. Fusion of Named Data Networking and Blockchain for Resilient Internet-of-Battlefield-Things

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   Doku, Ronald ; Rawat, Danda B. ; Garuba, Moses ; Njilla, Laurent ( January 2020 , 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC))
5. Good Things Come to Those Who Wait: Optimizing Job Waiting in the Cloud

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   Ambati, Pradeep ; Bashir, Noman ; Irwin, David ; Shenoy, Prashant ( November 2021 , Proceedings of the ACM Symposium on Cloud Computing (SoCC))