Scheduling schemes for interference suppression in healthcare sensor networks

Jamthe, Anagha; Mishra, Amitabh; Agrawal, Dharma P.

doi:10.1109/icc.2014.6883350

Cited by 23 publications

(17 citation statements)

References 7 publications

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“…Furthermore, channel scheduling at the MAC layer is exploited because it is regarded as the most effective technique for minimizing inter-WBAN interference in terms of system throughput. That is, inter-WBAN scheduling [21] focuses on WBAN traffic in coexistence scenarios; however, the dynamic environment is not considered and latency is increased. Other TDMA scheduling algorithms include dynamic resource allocation (DRA) [22] and adaptive internetwork interference mitigation (AIM) [23].…”

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%

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

Moh

2016

Sensors

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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.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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

Moh

2016

Sensors

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“…The research work of [17] solves the problem of inter-WBAN scheduling and interference by the adoption of a QoS based MAC preemptive priority scheduling approach. Whilst, researchers of [14] proposes a distributed interference detection and mitigation scheme through using adaptive channel hopping.…”

Section: Related Workmentioning

confidence: 99%

Interference avoidance algorithm (IAA) for multi-hop wireless body area network communication

Ali

Moungla

Mehaoua

2015

2015 17th International Conference on E-Health Networking, Application &Amp; Services (HealthCom)

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Abstract-In this paper, we propose a distributed multi-hop interference avoidance algorithm, namely, IAA to avoid co-channel interference inside a wireless body area network (WBAN). Our proposal adopts carrier sense multiple access with collision avoidance (CSMA/CA) between sources and relays and a flexible time division multiple access (FTDMA) between relays and coordinator. The proposed scheme enables low interfering nodes to transmit their messages using base channel. Depending on suitable situations, high interfering nodes double their contention windows (CW) and probably use switched orthogonal channel. Simulation results show that proposed scheme has far better minimum SINR (12dB improvement) and longer energy lifetime than other schemes (power control and opportunistic relaying). Additionally, we validate our proposal in a theoretical analysis and also propose a probabilistic approach to prove the outage probability can be effectively reduced to the minimal.

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“…There are also many system has been developed to control the congestion control in communication of these health care devices like Sara Ghanavati et al, [11] developed a congestion control schemes based on fuzzy logic in wireless body area network. Researchers in [12] developed a cross-layer fuzzy logic scheduling algorithm to provide a highly reliable energy saving body sensor network for healthcare. Although various system employing several technologies providing great applications has been developed already, but still there is always a need to provide a more efficient and an intelligent system because of the limitations of the above developed system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Real Time Patient Monitoring System based on Artificial Neural Fuzzy Inference System (ANFIS)

Singh¹,

Sharma²,

Aggarwal³

2016

IJCA

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Over the last few years there has been tremendous growth in the field of healthcare monitoring systems in hospitals and outside of it. Developing wireless health care monitoring devices employing various technologies has become a keen area of interest in India and as well as in other Nations. This proposed work aims to integrate artificial neural intelligence in domain of healthcare monitoring. Wireless body sensor devices have the ability to reach an advance level of human body monitoring utilizing various transmission and data analytics techniques. Implementation of Artificial Neural Fuzzy Inference Systems (ANFIS) would enable the system to work as a smart healthcare system that decides the priority by itself based on the collected psychological parameters from the sensor nodes. Proposed model describes an e-healthcare monitoring system developed for realizing integration of ANFIS in healthcare monitoring systems. The model consists of sensors to collect vital data from patient's body which is then transmitted by Wi-Fi to a central HUB where fuzzy logic converts the raw data in linguistic variable which is trained in ANFIS to get the status of patient. The developed system provides the reliable, accurate and real-time accessible data of patients continuously and transmits the vital information using a dedicated communication module in case of emergency. KeywordsPatient's vital signal monitoring; artificial neural fuzzy inference system (ANFIS); wireless transmission; GSM module.

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Scheduling schemes for interference suppression in healthcare sensor networks

Cited by 23 publications

References 7 publications

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

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

Interference avoidance algorithm (IAA) for multi-hop wireless body area network communication

A Real Time Patient Monitoring System based on Artificial Neural Fuzzy Inference System (ANFIS)

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