Investigation on Constraints and Recommended Context Aware Elicitation for IoT Runtime Workflow

Authors

  • V. Suresh Kumar Professor, Department of Information Technology, Vel Tech Multi Tech Engineering College, Chennai, India
  • Sanjeev Kulkarni Associate Professor, Department of Information Science & Engineering, Yenepoya Institute of Technolog, Mangaluru, Karnataka
  • Naveen Mukkapati Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation- 522302
  • Abhinav Singhal Assistant professor, School of Sciences, Christ (Deemed to be University) Delhi NCR, Ghaziabad-201003, Uttar Pradesh, India.
  • Mohit Tiwari Assistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, Delhi
  • D. Stalin David Associate Professor, Department of Information Technology, Vel, Tech Multi Tech Engineering College, Chennai, India

Keywords:

Ontology, Semantic methods, QoS aware, Context aware, Run-time workflow, Interoperability, Things Mark-up Language

Abstract

Various technological and application challenges arise in the advancement of Internet of Things. Apart from Design and Deployment, Security also falls as a primary challenge to overcome. Device Management is becoming more complex as numerous network services to be handled. Inter-device communication for technical aspects appears to be underappreciated. There is a critical necessity to include this area's requirements and challenges. By abstracting data models and operations and expressing them using semantics, M2Mcommunication and interoperability and may be made simple. A thorough investigation of the foregoing is preparing the way for various approaches. Along with Semantics, a high-level language construct is suggested that can enable run-time workflow construction. Things Markup Language is the name of the concept (TML).

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Published

04.11.2023

How to Cite

Kumar, V. S. ., Kulkarni, S. ., Mukkapati , N. ., Singhal, A. ., Tiwari, M. ., & David, D. S. . (2023). Investigation on Constraints and Recommended Context Aware Elicitation for IoT Runtime Workflow. International Journal of Intelligent Systems and Applications in Engineering, 12(3s), 96–105. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3666

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Research Article