Software defined healthcare networks

Hu, Long; Qiu, Meikang; Song, Jeungeun; Hossain, M. Shamim; Ghoneim, Ahmed

doi:10.1109/mwc.2015.7368826

Cited by 114 publications

(51 citation statements)

References 15 publications

(14 reference statements)

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“…In recent years, several SDN protocols have been proposed in the literature that implement SDN networks in different scenarios, such as healthcare [34] and traffic [35] applications. One of the most widely used SDN protocols is OpenFlow.…”

Section: Related Workmentioning

confidence: 99%

Distributed SDN Deployment in Backbone Networks for Low-Delay and High-Reliability Applications

Alenazi¹

2019

IJACSA

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Internet applications, such as video streaming, critical-mission, and health applications, require real-time or near real-time data delivery. In this context, Software Defined Networking (SDN) has been introduced to simplify the network management providing a more dynamic and flexible configuration based on centralizing the network intelligence. One of the main challenges in SDN applications consists of selecting the number of deployed SDN controllers, and their locations, towards improving the network performance in terms of low delay and high reliability. Traditional k-center and k-median methods have been fairly successful in reducing propagation latency, but ignore other important network aspects such as reliability. This paper proposes a new approach for controller placement that addresses both network reliability and reducing network delay. The proposed heuristic algorithm focuses on four different robustness functions, viz, algebraic connectivity (AC), network criticality (NC), load centrality (LC), and communicability, and has been applied in four different real-world physical networks, for performance evaluation based on degree-, closeness-, and betweenness-based centrality-based attacks. Experimental results show that the proposed controller selection algorithms based on AC, NC, LC, and communicability, achieve a high network resilience and low C2C delays, outperforming the latest, widely-used baseline methods, such as k-median and k-center ones, especially when using the NC method.

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Section: Related Workmentioning

confidence: 99%

Distributed SDN Deployment in Backbone Networks for Low-Delay and High-Reliability Applications

Alenazi¹

2019

IJACSA

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“…Thanks to the rapid development of 5G communication network, SDN [5] and MEC [6], these emerging technologies are expected to boost the advancement of urban-traffic management. Introducing the 5G and SDN technologies into vehicular network, the new SDN-based heterogeneous vehicular network shall offer high-bandwidth communication service with flexibility and programmability [7].…”

Section:  Traffic Prediction and Real-time Responsivenessmentioning

confidence: 99%

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

et al. 2017

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Abstract:With the increasing number of vehicle and traffic jams, the urban-traffic management is becoming a serious issue. In this article, we propose novel four-tier architecture for urban-traffic management with the convergence of vehicle ad hoc networks (VANETs), 5G wireless network, software-defined network (SDN), and mobile-edge computing (MEC) technologies. The proposed architecture provides better communication and rapider responsive speed in a more distributed and dynamic manner. The practical case of rapid accident rescue can significantly cut down the time for rescue. Key technologies with respect to vehicle localization, data pre-fetching, traffic lights control, and traffic prediction are also discussed. Obviously, the novel architecture shows noteworthy potential for alleviating the traffic congestion and improving the efficiency of urban-traffic management.

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“…Application based architecture of WBAN is static in nature. The infrastructure and the application are closely coupled [6]. Any changes required in the application intelligence, would require changes in the sensor platform, gateway and server.…”

Section: Limitations Of Current Wbanmentioning

confidence: 99%

“…Therefore, from and infrastructural standpoint, SDN could be used to prioritize various types of data in WBAN. The SDN controller is capable of reserving bandwidth for delay sensitive applications to ensure guaranteed transmission [6].…”

Section: Benefits Of Sdn On Wbanmentioning

confidence: 99%

“…With the help of SDN controller, traffic management, resource allocation and Quality of Service (QoS) can be achieved efficiently with a lower energy overhead [21]. Since SDN can provide an overall view of the network, controller can dynamically activate and deactivate the sensors, customize the policies to satisfy application demands and meanwhile reduce the energy consumption [6].…”

Section: Mobility and Accuracy Of Location Tracking-mentioning

confidence: 99%

See 1 more Smart Citation

A Novel Framework for Software Defined Wireless Body Area Network

Hasan

Biswas

et al. 2018

2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

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Software Defined Networking (SDN) has gained huge popularity in replacing traditional network by offering flexible and dynamic network management. It has drawn significant attention of the researchers from both academia and industries. Particularly, incorporating SDN in Wireless Body Area Network (WBAN) applications indicates promising benefits in terms of dealing with challenges like traffic management, authentication, energy efficiency etc. while enhancing administrative control. This paper presents a novel framework for Software Defined WBAN (SDWBAN), which brings the concept of SDN technology into WBAN applications. By decoupling the control plane from data plane and having more programmatic control would assist to overcome the current lacking and challenges of WBAN. Therefore, we provide a conceptual framework for SDWBAN with packet flow model and a future direction of research pertaining to SDWBAN.

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Software defined healthcare networks

Cited by 114 publications

References 15 publications

Distributed SDN Deployment in Backbone Networks for Low-Delay and High-Reliability Applications

Distributed SDN Deployment in Backbone Networks for Low-Delay and High-Reliability Applications

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

A Novel Framework for Software Defined Wireless Body Area Network

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