A Clique-based WBAN Scheduling for Mobile Wireless Body Area Networks

Xie, Zhijun; Huang, Guangyan; He, Jing; Zhang, Yanchun

doi:10.1016/j.procs.2014.05.364

Cited by 28 publications

(12 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The position required for the consecutive iteration is updated by the following equation as given below: (17) Where,  updated position along the conjugate direction.…”

Section:  Conjugate Gradient Descent Of Non-linearitymentioning

confidence: 99%

PCA based Optimization using Conjugate Gradient Descent Algorithm

Meti¹,

Sangam²

2017

ijacsa

View full text Add to dashboard Cite

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.

show abstract

“…The position required for the consecutive iteration is updated by the following equation as given below: (17) Where,  updated position along the conjugate direction.…”

Section:  Conjugate Gradient Descent Of Non-linearitymentioning

confidence: 99%

PCA based Optimization using Conjugate Gradient Descent Algorithm

Meti¹,

Sangam²

2017

ijacsa

View full text Add to dashboard Cite

show abstract

“…In reference [26], the interfered WBANs are grouped as a cluster, and then a coloring technique is applied to achieve better performance. In clique-based WBAN scheduling (CBWS) [27], the clique-based graph among the interfered WBANs is introduced and the random coloring algorithm is applied for scheduling. In this scheme, the WBAN sensors are formed for several cliques, and then the sensor nodes can be allocated into timeslots by the random coloring algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…The existing link scheduling algorithms for WBANs only focus on the interference at each WBAN and on the channel status [21,24,25,27]. However, it is necessary to consider the number of interfered nodes as well as the number of interfering WBANs because the interfered nodes cause data loss at the coordinator.…”

Section: Related Workmentioning

confidence: 99%

“…However, it is necessary to consider the number of interfered nodes as well as the number of interfering WBANs because the interfered nodes cause data loss at the coordinator. Some works have focused on shifting or scheduling the transmission time without taking the traffic priority into consideration [21,24,25,26,27]. In fact, the traffic priority of sensor nodes is important because different on-body sensor nodes collect different types of data.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Interference-Aware Traffic-Priority-Based Link Scheduling Algorithm for Interference Mitigation in Multiple Wireless Body Area Networks

Moh

2016

Sensors

View full text Add to dashboard Cite

Currently, wireless body area networks (WBANs) are effectively used for health monitoring services. However, in cases where WBANs are densely deployed, interference among WBANs can cause serious degradation of network performance and reliability. Inter-WBAN interference can be reduced by scheduling the communication links of interfering WBANs. In this paper, we propose an interference-aware traffic-priority-based link scheduling (ITLS) algorithm to overcome inter-WBAN interference in densely deployed WBANs. First, we model a network with multiple WBANs as an interference graph where node-level interference and traffic priority are taken into account. Second, we formulate link scheduling for multiple WBANs as an optimization model where the objective is to maximize the throughput of the entire network while ensuring the traffic priority of sensor nodes. Finally, we propose the ITLS algorithm for multiple WBANs on the basis of the optimization model. High spatial reuse is also achieved in the proposed ITLS algorithm. The proposed ITLS achieves high spatial reuse while considering traffic priority, packet length, and the number of interfered sensor nodes. Our simulation results show that the proposed ITLS significantly increases spatial reuse and network throughput with lower delay by mitigating inter-WBAN interference.

show abstract

“…Others focus their efforts on ultra-wideband interference mitigation [25] [26][27] [28]. An interesting Clique-based scheduling algorithm is introduced in [29], where the sensors are clustered into different groups to avoid interference. Zhang et al [30] presented an intriguing method, which suggested to consider the social nature of Wireless Body Area Networks (WBANs).…”

Section: Related Workmentioning

confidence: 99%

Throughput Assurance for Multiple Body Sensor Networks

Ren

Zhou

et al. 2016

IEEE Trans. Parallel Distrib. Syst.

View full text Add to dashboard Cite

Existing research has demonstrated that inter-body sensor network (inter-BSN) information sharing among coexisting BSNs can enhance applications' performance and save energy. However, how to achieve effective inter-BSN information sharing through wireless communication is a challenging task. On one hand, a BSN should be able to discover neighboring BSNs and establish inter-BSN links with Quality of Service (QoS) assurances. On the other hand, a BSN should be able to prevent the QoS of intraand inter-BSN links from being degraded by multiple BSNs' mutual interference. In this paper, we propose BuddyQoS, a framework that provides network throughput assurances for coexisting and shared buddy BSNs. In particular, BuddyQoS accurately estimates and adaptively schedules wireless resources to meet the throughput requirements of all inter-and intra-BSN links. Our trace-driven experiment results demonstrate that BuddyQoS outperforms the default CSMA solution in the standard TinyOS-2.x releases in terms of providing throughput assurances.

show abstract

A Clique-based WBAN Scheduling for Mobile Wireless Body Area Networks

Cited by 28 publications

References 22 publications

PCA based Optimization using Conjugate Gradient Descent Algorithm

PCA based Optimization using Conjugate Gradient Descent Algorithm

An Interference-Aware Traffic-Priority-Based Link Scheduling Algorithm for Interference Mitigation in Multiple Wireless Body Area Networks

Throughput Assurance for Multiple Body Sensor Networks

Contact Info

Product

Resources

About