Throughput optimization with fairness consideration for coexisting WBANs

Li, Ming; Liu, Jing; Ma, Zhichao; Yuan, Chongwei; Yuan, Bin

doi:10.1109/icc.2015.7249347

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…In this heuristic algorithm, the wireless resources were scheduled adaptively to meet the needs of the WBAN scheme. The algorithm was used for inter-and-intra body area network communication [15]. Although these algorithms have attempted to solve the issue around throughput and delay in WBAN, they did not consider the numerous network scenarios that have been adopted in body area networks.…”

Section: Throughput and Delay Analysismentioning

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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Section: Throughput and Delay Analysismentioning

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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“…In recent years various techniques were introduced to tackle the energy dissipation issue. The scheduling of WBAN is indicated as optimization problem and is non-linear in nature where obtaining the maximum throughput is main objective [1]. Also, the reduction of dimension in WBAN is indicated with the techniques like component reduction and extraction performed by component analysis mechanism.…”

Section: Methodsmentioning

confidence: 99%

“…The work in Li et www.ijacsa.thesai.org al. [1] details this problem by introducing a system called "Fairness-based Throughput Maximization Heuristic (FTMH)" which gives "suboptimal solution" with reduced complexity. Considering the WBAN system of linear equations, enhancement could likewise be performed using techniques, like Conjugate Gradient Algorithms.…”

Section:  Non-linear Optimization In Wbanmentioning

confidence: 99%

“…The use of neural networks for WBAN systems helps to enhance the system efficiency, signal prediction and artifact reduction. In order to describe the problem of energy dissipation in WBAN, An enhancement was done on the WBAN framework in view of the arrangement of the facilitator utilizing neural system strategies [1]. A learning algorithm was used with Kohonen neural system (KNN) to analyze and classify the biomedical signals in the WBAN framework [2].…”

Section: Introductionmentioning

confidence: 99%

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PCA based Optimization using Conjugate Gradient Descent Algorithm

Meti¹,

Sangam²

2017

ijacsa

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Abstract-The energy dissipation in Wireless Body Area Network (WBAN) systems is the biggest concern as it proportionally affects the system longevity. This energy dissipation in the WBAN system mainly takes place due to the signal interference from other networks causing reduction on the dimensionality. The data prediction in WBAN is also a considerable concern corresponding to misinterpretations and faults in the signals. In this paper a novel combination of Principle Component Analysis (PCA) pre-processing along with optimization using the conjugate gradient descent algorithm is proposed. Experimental observations show an improvement in the mean square error and the regression based correlation coefficient when compared to other standard techniques.

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“…In the case of inter-network interference, the authors reduce the complexity of the scheme and improve energy efficiency by solving nonlinear programming problems. At the same time, the fairness between networks is effectively resolved [25].…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization by Time Switching in Multipoint WBAN With Fairness Consideration

Liu

Yang

et al. 2020

IEEE Access

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In this paper, the average throughput maximization challenge with resources fairness consideration is proposed. In a multipoint wireless body area network (MP-WBAN), the time switching (TS) strategy and fairness algorithm are studied to improve system resources allocation performance. Under extreme circumstances, the sensors transfer command signals to the access point (AP) requesting the radio frequency (RF) energy from the source node. On the other hand, the sensors attached to the body surface transmit the perceived physiological information to the AP node. Owing to distance-dependent signal attenuation, the sensors near the AP node harvest more RF energy and time slots to achieve higher throughput. On the contrary, the sensors farther from the source node receive fewer RF energy and time slots to obtain lower throughput. Therefore, we design the common throughput maximization algorithm to allocate more time to farther sensors. At last, the effectiveness and accuracy of the studied fairness scheme are verified by simulation experimental data. INDEX TERMS MP-WBAN; convex optimization technique; TS protocol; common throughput maximization.

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Throughput optimization with fairness consideration for coexisting WBANs

Cited by 13 publications

References 14 publications

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

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

PCA based Optimization using Conjugate Gradient Descent Algorithm

Throughput Maximization by Time Switching in Multipoint WBAN With Fairness Consideration

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