Semantic Annotation of IoT Resource with ontology orchestration

Chikkamannur, Ajeet A.

doi:10.1109/icaecc50550.2020.9339490

Cited by 7 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on ranking, the most pertinent devices from the device repository matching the user query are returned. IoT Resource features are extracted from vendor specification as carried out in our previous work [5]. Section 2 details the literature survey carried out in this field; Section 3 discusses the proposed IoT resource discovery and ranking model with multi criteria decision making methodology.…”

Section: Introductionmentioning

confidence: 99%

MULTI CRITERIA DECISION BASED RANKED DISCOVERY FRAMEWORK FOR IoT RESOURCESN

Chikkamannur¹

2021

INDJCSE

View full text Add to dashboard Cite

The growth rate of Internet of Things (IoT) ecosystem has led to an enormous pool of heterogeneous IoT resources with similar capabilities. Providing the right IoT resource at the right time is an indispensible requirement for user application performance. In this paper, we propose a framework for returning the most pertinent IoT resource based on ranking, as the user query response. Proposed Multi Criteria Decision making framework computes the weights of the various criteria based on fuzzy logic user preference and entropy based objective weight. This computed weights for the criteria are applied on approach Technique for Order Preference by Similarity to Ideal solution (TOPSIS). Effectiveness of the proposed approach is compared with current state of work. Also real time testbed experiment based study is carried out to demonstrate the effectiveness and robustness of proposed approach.

show abstract

Section: Introductionmentioning

confidence: 99%