Multifaceted infrastructure for self-adaptive IoT systems

  title={Multifaceted infrastructure for self-adaptive IoT systems},
  author={Rossana M. de Castro Andrade and Belmondo Rodrigues Arag{\~a}o Junior and Pedro Oliveira and Marcio E. F. Maia and Windson Viana and Tales Paiva Nogueira},
  journal={Inf. Softw. Technol.},
A Self-Adaptive IoT-based Approach for Improving the Decision Making of Active Surgical Robots in Hospitals
  • Alina Saduova, Eyhab Al-Masri
  • Medicine
    2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
  • 2021
An IoT-based self-adaptive approach that uses multi-criteria decision analysis methods (MCDA) for enhancing the decision making of operations involving surgical robots is proposed.
Towards an IoHT Platform to Monitor QoL Indicators
The proposal to use the Internet of Health Things (IoHT) to collect data from smart environments and apply machine learning techniques to infer QoL measures is discussed and an IoHT platform inspired by the MAPE-K loop is designed.


SUCCEEd: Support Mechanism for Creating and Executing Workflows for Decoupled SAS in IoT
A decoupled support mechanism, called SUCCEEd, that allows the creation and execution of a sequence of actions in an IoT environment and the number of steps needed to adapt is minimal in a matter of time.
A Reference Model for Internet of Things Middleware
It is concluded that middleware plays a crucial role in IoT solutions and the proposed architectural approach can be used as a reference model for IoT middleware.
A Scalable and Self-Configuring Architecture for Service Discovery in the Internet of Things
This work proposes a scalable and self-configuring peer-to-peer (P2P)-based architecture for large-scale IoT networks, aiming at providing automated service and resource discovery mechanisms, which require no human intervention for their configuration.
Mobile Digcovery: A Global Service Discovery for the Internet of Things
This work presents a way to interact with the IoT through a homogeneous and suitable mechanism for the global resource discovery of devices and sensors on different scenarios, and presents how to use the smartphone capabilities, in terms of identification, geo-location and context-awareness, to access and interaction with the available resources that are surrounding us.
A context-aware search system for Internet of Things based on hierarchical context model
This paper constructs a hierarchical context model based on ontology to represent the IoT objects and their contextual relationships and executes searches with consideration of users’ context that is recognized by a context-aware hidden Markov model.
Middleware for Internet of Things: A Survey
This paper outlines a set of requirements for IoT middleware, and presents a comprehensive review of the existing middleware solutions against those requirements, and open research issues, challenges, and future research directions are highlighted.
Context Aware Computing for The Internet of Things: A Survey
This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Past, Present and Future of the ContextNet IoMT Middleware
This paper summarizes seven years of research and development on the ContextNet middle ware aimed at IoMT, discusses what they achieved and what they have learned so far, and shares the vision of possible future challenges and developments in the Internet of Mobile Things.
Model-Based Software Engineering to Tame the IoT Jungle
The ThingML (Internet of Things Modeling Language) approach, which was inspired by UML, integrates concepts targeted at the IoT in a model-driven, generative approach.
LOCCAM - loosely coupled context acquisition middleware
This paper presents a context management middleware called LoCCAM (Loosely Coupled Context Acquisition Middeware) to provide self-adaptive acquisition of contextual information that offers a lower coupling among applications and the context acquisition layer.