A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

Cwalina, Krzysztof; Ambroziak, Slawomir J.; Rajchowski, Piotr; Sadowski, Jarosław; Stefański, Jacek

doi:10.3390/app8071209

Cited by 7 publications

(11 citation statements)

References 29 publications

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“…The MN and RN, regardless of the function, have nearly identical hardware structure. The devices were described by the authors in [22][23][24] so in this section only a general information are recalled. In the Figure 5 the block diagram of the MN and RN is presented.…”

Section: The Structure Of the Mobile And Reference Nodesmentioning

confidence: 99%

“…The organization of the data exchange in both radio interfaces is independent of the geometrical placement of all nodes. In the developed software a control logic was implemented, also with self-discovery logic and routing organization [2,24]. The concept of the radio network is strongly based on the idea of flexible and mobile network for special applications.…”

Section: Simulation Studies Of Tracking Efectiveness Using the Proposmentioning

confidence: 99%

“…The two cases represent the availability of a various number of the reference nodes. In Figure 6A the final position estimates (blue color) were calculated in a fusion Kalman filtration process [2,21,24] on the basis of the following positional data: position estimates from simulated inertial navigation system (red color) and position estimates obtained on the basis of simulated RDMs using the Foy algorithm. The main goal of the simulation studies was to investigate the operation of the proposed method when results of the RDMs were available to less than three reference nodes and a typical radiolocalization algorithms cannot be used.…”

Section: Simulation Studies Of Tracking Efectiveness Using the Proposmentioning

confidence: 99%

See 2 more Smart Citations

Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes

Rajchowski

Stefański

Sadowski

et al. 2020

Sensors

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In this article a novel method of positional data integration in an indoor hybrid localization system combining inertial navigation with radio distance measurements is presented. A point of interest is the situation when the positional data and the radio distance measurements are obtained from less than thee reference nodes and it is impossible to unambiguously localize the moving person due to undetermined set of positional equations. The presented method allows to continuously provide localization service even in areas with disturbed propagation of the radio signals. Authors performed simulation and measurement studies of the proposed method to verify the precision of position estimation of a moving person in an indoor environment. It is worth noting that to determine the simulation parameters and realize the experimental studies the hybrid localization system demonstrator was developed, combining inertial navigation and radio distance measurements. In the proposed solution, results of distance measurements taken to less than three reference nodes are used to compensate the drift of the position estimated using the inertial sensor. In the obtained simulation and experimental results it was possible to reduce the localization error by nearly 50% regarding the case when only inertial navigation was used, additionally keeping the long term root mean square error at the level of ca. 0.50 m. That gives a degradation of localization precision below 0.1 m with respect to the fusion Kalman filtration when four reference nodes are present.

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Section: The Structure Of the Mobile And Reference Nodesmentioning

confidence: 99%

Section: Simulation Studies Of Tracking Efectiveness Using the Proposmentioning

confidence: 99%

Section: Simulation Studies Of Tracking Efectiveness Using the Proposmentioning

confidence: 99%

See 1 more Smart Citation

Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes

Rajchowski

Stefański

Sadowski

et al. 2020

Sensors

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“…The proposed scheme of user association improved the performance of the network. A bit-rate adoption method was proposed by the authors of [10] for body area HetNets. Their scheme showed the promise of increasing the efficiency of packet transmission regardless of placement of the node.…”

Section: A Related Workmentioning

confidence: 99%

Power Allocation and User Assignment Scheme for beyond 5G Heterogeneous Networks

Bakht

Jameel

Ali

et al. 2019

Wireless Communications and Mobile Computing

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The issue of spectrum scarcity in wireless networks is becoming prominent and critical with each passing year. Although several promising solutions have been proposed to provide a solution to spectrum scarcity, most of them have many associated tradeoffs. In this context, one of the emerging ideas relates to the utilization of cognitive radios (CR) for future heterogeneous networks (HetNets). This paper provides a marriage of two promising candidates (i.e., CR and HetNets) for beyond fifth generation (5G) wireless networks. More specifically, a joint power allocation and user assignment solution for the multi-user underlay CR-based HetNets has been proposed and evaluated. To counter the limiting factors in these networks, the individual power of transmitting nodes and interference temperature protection constraints of the primary networks have been considered. An efficient solution is designed from the dual decomposition approach, where the optimal user assignment is obtained for the optimized power allocation at each node. The simulation results validate the superiority of the proposed optimization scheme against conventional baseline techniques.

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“…In such systems, operating in an indoor environment, due to, e.g., high time of flight measurement resolution, UWB (Ultra-Wideband) radio interfaces are widely used. They are characterized also by a higher robustness to the multipath propagation effect than narrowband radio interfaces and allow obtaining even centimeter localization accuracy [2,3]. One such radio interface is the well-known DecaWave DWM1000 radio module, which was also used in this study [4].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks

Cwalina

Rajchowski

Blaszkiewicz

et al. 2019

Sensors

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In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on the basis of the measurement data for dynamic scenarios in an indoor environment. The obtained results clearly prove the validity of the proposed DL approach in the UWB WBANs and high (over 98.6% for most cases) efficiency for LOS and NLOS conditions classification.

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A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

Cited by 7 publications

References 29 publications

Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes

Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes

Power Allocation and User Assignment Scheme for beyond 5G Heterogeneous Networks

Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks

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