Performance Analysis of Priority Queuing Model for Low Power Wireless Body Area Networks (WBANs)

Iftikhar, Mohsin; Elaiwi, Nada Al; Aksoy, Mehmet Sabih

doi:10.1016/j.procs.2014.07.060

Cited by 20 publications

(14 citation statements)

References 6 publications

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“…The third domain is energy efficiency. Some studies were focused on 'higher energy efficiency and robust data transmission' by reducing energy consumption and prolonging network lifetime by increasing the predictability of a system [54,[66][67][68][69]. The last study introduced green-cloud-assisted healthcare services on WBANs [70].…”

Section: Sensor Based (Tier 1)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisionmaking theory to address the current problems in the prioritisation of patients with MCDs.

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Section: Sensor Based (Tier 1)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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“…These nodes can be placed either on the patient's skin or inside their body through an implantation, and their main function is sensing the body's changing health signs and sending the collected medical data through to the sink node on the patient's body or somewhere adjacent. 23 Verner and Butvinik 24 authors presented an analysis of the blood glucose-level sensors, suggesting a machine learning algorithm for detecting deliberate as well as unintended modifying intrusions associated with such sensors particularly. By using Otsu's Thresholding Method and measures of statistics, certain characteristics are created for estimating averages, boundaries, deviations, and patterns of sensor data.…”

Section: Related Workmentioning

confidence: 99%

“…The work of Alshaheen and Rizk 22 introduced RLNC (Random Linear Network Coding) for optimizing power effectiveness in biosensor nodes within the WBSN bottleneck zone, mainly through the combination of power‐saving and successful data‐delivering in case of a deficit in one of the transmitting connections. These nodes can be placed either on the patient's skin or inside their body through an implantation, and their main function is sensing the body's changing health signs and sending the collected medical data through to the sink node on the patient's body or somewhere adjacent 23 …”

Section: Related Workmentioning

confidence: 99%

Adaptive rate energy‐saving data collecting technique for health monitoring in wireless body sensor networks

Jaber

Idrees

2020

Int J Communication

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SummaryOne of the best and cheapest solutions for continuous and remote monitoring and evaluation of patient health is to use the WBSNs (wireless body sensor networks) due to its great role in decreasing the expenses of the health care system. In this type of network, the sensed vital signs are gathered by biosensor devices then transmitted to the coordinator for further processing and fusion. Since the limited resources for biosensor devices (energy, memory, and processing) in addition to the periodic transmission for the large volume of data, it is essential to optimize the data transmission to save energy while keeping the data accuracy at the coordinator. This work suggests an AREDaCoT (adaptive rate energy‐saving data collecting technique) which aims to energy‐efficient patient health monitoring in periodic WBSNs. The AREDaCoT works in terms of so‐called periods. Each period has two stages: removing redundancy and adapting the sampling rate. The first stage uses improved LED to remove the redundancy in measurement of vital signs, whereas the second stage applies two techniques, assesses the risk score according to the risk level of the patient and the CSr (calibrate sampling rate) fittingly with different ranges of risk level for the sensor sampling ratio to be adapted. The performance of AREDaCoT has been evaluated in light of multiple series of simulations on real health datasets being compared to an existing approach. The acquired results illustrate how AREDaCoT decreases the volume of gathered data; thus, a significant energy saving has been made whilst preserving data accuracy and integrity. Moreover, the percentage results of data reduction over the original data set and the score differences between them are both acceptable.

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“…Considering that each WBAN performed information transfer in a single pathway, then the coordinator broadcasts the new paths for the sensor points on the beacon signal. In case the new pathway is occupied by the broadcaster before channel sensing, then channel collision can occur when another WBAN select the same channel [6]. Presently, WBANs uses a single channel MAC approach for the intra-WBAN communication.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of packet loss with end-to-end delay in wireless body area network applications

Oleiwi¹,

Mohammed²,

Al_Barazanchi

2022

IJECE

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The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.

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Performance Analysis of Priority Queuing Model for Low Power Wireless Body Area Networks (WBANs)

Cited by 20 publications

References 6 publications

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Adaptive rate energy‐saving data collecting technique for health monitoring in wireless body sensor networks

Mitigation of packet loss with end-to-end delay in wireless body area network applications

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