A Self-Organized Dynamic Clustering Method and Its Multiple Access Mechanism for Multiple WBANs

Mu, Jiasong; Stewart, Robert W.; Han, Liang; Crawford, David

doi:10.1109/jiot.2018.2869829

Cited by 23 publications

(12 citation statements)

References 33 publications

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“…In ref. [5], the author has utilised a genetic algorithm for the affective utilisation in routing. However, the algorithm has limited application for WBAN applications.…”

Section: Literature Studymentioning

confidence: 99%

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Energy efficiency based lifetime improvement for wireless body area network

Guo

Syed

2022

IET Communications

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The efficient selection of cluster head nodes for the transmission of the data to the sink node is the major requirement of the wireless body area network. The present work deals with the efficient selection of the cluster head node and uniform rotation of the cluster head based on the four important parameters, i.e. residual energy of the node, mean value of the Euclidean distance, priority level based on data sensitivity, and device physical capability. The proposed energy‐efficient Bayesian clustering algorithm uses naïve Bayesian approach for the appropriate selection of the cluster head node. The selected cluster head node collects the data from the sensor nodes in each round. The collected data is first aggregated and then transmitted to the base station. In the steady‐state phase, the proposed algorithm follows energy‐analysed‐TDMA based energy‐efficient data transmission method which further reduces the energy consumption as compared to the standard LEACH protocol. The performance of the proposed protocol is compared to the existing protocol on the MATLAB simulator. The proposed scheme increases the overall lifetime of the network by approximately 1.5 times and also reduces the average energy consumption of the network.

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“…In ref. [5], the author has utilised a genetic algorithm for the affective utilisation in routing. However, the algorithm has limited application for WBAN applications.…”

Section: Literature Studymentioning

confidence: 99%

“…The Internet of Things (IoT) and wireless body area network (WBAN) based healthcare monitoring applications are the centre of focus for researchers for the last few decades [1][2][3][4][5]. In WBAN application, the sensor nodes (SN's) sense the data from the body for various parameters.…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency based lifetime improvement for wireless body area network

Guo

Syed

2022

IET Communications

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“…Self-organizations are the most studied problem by researchers [18]. One of them is based on the creation of a backbone to optimize the diffusion of information.…”

Section: B Cluster-based Routingmentioning

confidence: 99%

Wireless Body Area Sensor Networks for Wearable Health Monitoring: Technology Trends and Future Research Opportunities

Alrashidi¹,

Nasri²

2021

IJACSA

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Today, there is an emerging interest in Wireless Body Area Sensor Networks (WBASNs) for the real-time monitoring of patients and early chronic disease detection. In this context, this paper presents a synopsis survey of healthcare monitoring via the IEEE 802.15.6 (UWB) protocol. We intend to propose a survey of the current issues of wearable physiological monitoring signals and devices, application areas, and reliability in WBASNs. To help elderly and disabled people, it would be beneficial to use a wireless transportable gadget at home to gather useful data in traditional human activities. This will manage regular hospital and emergency department appointments and will monitor crucial physiological signals realtime. This paper will also present a study on new wireless technologies intended for body area sensor networks, including signal processing problems, spectral allocation, security, and future research challenges of WBASNs.

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“…In WBAN, body‐to‐body communication becomes emerging due to its need in real‐time scenarios. A data transmission mechanism for the multiple‐WBAN environment was presented with cluster formation method 21 . The major objective of this work was to improve the QoS in the WBAN environment.…”

Section: Related Workmentioning

confidence: 99%

Quality of Service‐aware clustered triad layer architecture for critical data transmission in multi‐body area network environment

İbrahim

2021

Engineering Reports

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Wireless Body Area Network (WBAN) is an important element of future smart healthcare services in smart cities. For this reason, many research works have been undergone in WBAN. The significant research issue in the WBAN environment is Quality of Service (QoS) provisioning. In literature, some of the works have been focused on QoS aspect of WBAN. However, they have only marginal impact due to ineffective network design and the usage of a single sink node. Also, most of the research works have been tested within a single BAN and present intra‐BAN communication. In practical, an effective multi‐BAN communication system is emerging due to the need of large‐scale healthcare system. This paper addresses these issues and designs a novel QoS‐aware Clustered Triad Layer (QC‐TriL) architecture for multi‐BAN environment. The novel QC‐TriL uses dual sink nodes in each BAN and both sinks are deployed in the optimal positions. To determine the optimal position, Type‐II Fuzzy Logic (T2FL) is proposed with different criteria. Next, we form clusters based on the positions of dual sink nodes. QC‐TriL adopts criticality‐aware routing by presenting Delay‐aware One‐Hop Transmission and Fused Rank Scheme (FuRank) for critical data and normal data routing respectively. The data transmission is organized by a novel 1D‐Dragonfly topology‐based Priority Dual TDMA (PD‐TDMA) scheduling protocol. Finally, multi‐BAN communication is enabled with an optimal route selected by QoS‐aware Emperor Penguin Colony (QoS‐EPC) algorithm. The QC‐TriL multi‐BAN environment is modeled in OMNeT++ simulator and evaluated in terms of energy consumption, packet delivery ratio, throughput, and delay. The experiments show promising results for the multi‐BAN environment.

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A Self-Organized Dynamic Clustering Method and Its Multiple Access Mechanism for Multiple WBANs

Cited by 23 publications

References 33 publications

Energy efficiency based lifetime improvement for wireless body area network

Energy efficiency based lifetime improvement for wireless body area network

Wireless Body Area Sensor Networks for Wearable Health Monitoring: Technology Trends and Future Research Opportunities

Quality of Service‐aware clustered triad layer architecture for critical data transmission in multi‐body area network environment

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