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Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1632 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22041632 ;PMID: 35214533

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  • Title:
    Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware
  • Author: Jagarlamudi, Kanaka Sai ; Zaslavsky, Arkady ; Loke, Seng W ; Hassani, Alireza ; Medvedev, Alexey
  • Subjects: Consumers ; Context ; context management platforms ; Internet of Things ; IoT ecosystems ; Metadata ; Middleware ; Modelling ; quality of context ; quality of experience ; Quality of service ; quality-aware selection ; Reference systems ; Surveys and Questionnaires ; Usability
  • Is Part Of: Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1632
  • Description: Satisfying a context consumer's quality of context (QoC) requirements is important to context management platforms (CMPs) in order to have credibility. QoC indicates the contextual information's quality metrics (e.g., accuracy, timeliness, completeness). The outcomes of these metrics depend on the functional and quality characteristics associated with all actors (context consumers (or) context-aware applications, CMPs, and context providers (or) IoT-data providers) in context-aware IoT environments. This survey identifies and studies such characteristics and highlights the limitations in actors' current functionalities and QoC modelling approaches to obtain adequate QoC and improve context consumers' quality of experience (QoE). We propose a novel concept system based on our critical analysis; this system addresses the functional limitations in existing QoC modelling approaches. Moreover, we highlight those QoC metrics affected by quality of service (QoS) metrics in CMPs. These recommendations provide CMP developers with a reference system they could incorporate, functionalities and QoS metrics to maintain in order to deliver an adequate QoC.
  • Publisher: Switzerland: MDPI AG
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s22041632
    PMID: 35214533
  • Source: Open Access: DOAJ Directory of Open Access Journals
    Freely Accessible Journals
    Open Access: PubMed Central
    AUTh Library subscriptions: ProQuest Central
    MEDLINE
    ROAD: Directory of Open Access Scholarly Resources
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