A survey on analytical models for dynamic resource management in wireless body area networks
Document Type
Article
Source of Publication
Ad Hoc Networks
Publication Date
10-1-2022
Abstract
Compared with typical wireless sensor networks, wireless body area networks (WBANs) have distinct features: on-body communication, a large amount of interference, and dynamic topology changes caused by gestures. Accordingly, the resource management algorithm in the medium access control (MAC) protocol should be dynamic, adaptive, and energy-efficient. Hence, recent studies tend to optimize the available resources by applying several types of analytical models. Although these models have been categorized in terms of their objectives, the major differences between their methodologies have not been emphasized and discussed. In this study, we classify the analytical models applicable to dynamic resource management, and clarify their characteristics and use cases. We present the basic principles, approach classification, comparison, and guidance for dynamic resource management, and investigate state-of-the-art resource management techniques according to the corresponding analytical models. Furthermore, research challenges on dynamic resource management in WBAN are identified to facilitate future research in this area.
DOI Link
ISSN
Publisher
Elsevier BV
Volume
135
Disciplines
Computer Sciences
Keywords
Adaptive decision-making, Body shadowing, Heterogeneous traffic flow, Inter-WBAN interference, Medium access control (MAC), Resource constraints, Resource optimization, Theoretical analysis
Scopus ID
Recommended Citation
Kim, Beom Su; Shah, Babar; He, Ting; and Kim, Ki Il, "A survey on analytical models for dynamic resource management in wireless body area networks" (2022). All Works. 5210.
https://zuscholars.zu.ac.ae/works/5210
Indexed in Scopus
yes
Open Access
no