Improved Connectivity Using Differential Priority Assignments in Military Network

Katre, Sunita; Goswami, Aakansha; Mishra, Prashant; Bapat, Jyotsna; Das, Debabrata

doi:10.1109/pdgc.2018.8745890

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…We consider various domains of IoT applications such as Multimedia, Industrial IoT, Military, Healthcare and Transportation applications. QoS metrics of these applications are listed as the followings : jitter [100], [101], [102], latency [100], [103], packet loss [100], [104], [101], [105], [106], [107], [108], throughput [104], [101], [109], [103], [110], [106], [107], [111], [108], [112], [102], delay [113], [114], [104], [109], [105], [106], [107], [111], [108], [112], [102], reliability [114], [115], [110], [116], [112], [117], [118], availability [113], [116], [118], scalability [115], energy [109],…”

Section: A Qos Metrics and Iot Applicationsmentioning

confidence: 99%

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

et al. 2022

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Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging in the market and competing to offer their services. Many IoT applications utilize these services in an integrated manner with different Quality-of-Service (QoS) requirements. Thus, the provisioning of end-to-end QoS is getting more indispensable for IoT platforms. However, provisioning the system by using only QoS metrics without considering user experiences is not sufficient. Recently, Quality of Experience (QoE) model has become a promising approach to quantify actual user experiences of services. A holistic design approach that considers constraints of various QoS/QoE metrics together is needed to satisfy requirements of these applications and services. Besides, IoT services may operate in environments with limited resources. Therefore, effective management of services and system resources is essential for QoS/QoE support. This paper provides a comprehensive survey for the state-of-the-art studies on IoT services with QoS/QoE perspective. Our contributions are threefold: (1) QoEdriven architecture is demonstrated by classifying vital components according to QoE-related functions in prior studies, (2) QoE metrics and QoE optimization objectives are classified by corresponding system and resource control problems in the architecture, and (3) QoE-aware resource management e.g., QoE-aware offloading, placement and data caching policies with recent Machine Learning approaches are extensively reviewed. INDEX TERMSInternet of Things, Quality of Service, Quality of Experience, IoT services, IoT applications, QoS for IoT services, QoS metrics, QoE metrics, IoT architecture Recently, emerging IoT architectures with multi-layers, e.g., Mobile Edge Computing (MEC), Fog Computing and Cloud Computing, have been proposed to improve user experiences.

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