Pervasive, secure access to a hierarchical sensor-based healthcare monitoring architecture in wireless heterogeneous networks

Huang, Yueh‐Min; Hsieh, Meng-Yen; Chao, Han Chieh; Hung, Shih-Han; Park, J.H.

doi:10.1109/jsac.2009.090505

Cited by 207 publications

(106 citation statements)

References 23 publications

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“…Along this line, a three-tier network architecture is proposed in [33], for the remote monitoring of elderly or chronic patients in their residence. The lower tier consists of two systems: i) a patient-worn fabric belt, which integrates the medical sensors and is equipped with a Bluetooth transceiver; and ii) the ambient wireless sensors that form a ZigBee network and are deployed in the patient's surroundings (e.g., in the patient's home or a nursing house).…”

Section: B Testbed Implementation Of M2m Solutionsmentioning

confidence: 99%

Machine-to-machine (M2M) communications for e-health applications

Kartsakli

Lalos

Antonopoulos

et al. 2015

Machine-to-Machine (M2M) Communications

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The emerging technology of Machine-to-Machine (M2M) communications is bringing a paradigm shift in healthcare delivery. A broad range of e-Health applications can be conceived, with considerable benefits for both patients and healthcare providers. Many technological challenges have to be met, however, to ensure the widespread adoption of e-Health solutions in the future. In this context, we aim to provide a comprehensive overview on M2M systems for e-Health applications from a wireless communication perspective. We provide an overview of the candidate wireless technologies that are suitable for different parts of the M2M system architecture and then show how these technologies are seamlessly integrated to provide an end-to-end e-Health solution. In particular, we discuss end-toend solution designs and testbed implementations, we present the key security and privacy challenges associated with the sensitive nature of medical data and we summarize the most recent research projects dedicated to e-Health applications. Index TermsMachine-to-Machine (M2M), e-Health, WBAN, M2M Area Network, M2M Communications Network, IEEE 802.15.6, end-to-end communications

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Section: B Testbed Implementation Of M2m Solutionsmentioning

confidence: 99%

Machine-to-machine (M2M) communications for e-health applications

Kartsakli

Lalos

Antonopoulos

et al. 2015

Machine-to-Machine (M2M) Communications

View full text Add to dashboard Cite

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“…In comparison to decentralized framework, the centralized framework is scalable as fewer overheads are imposed on the system, and hence, a lot of applications have existed, e.g., see [26]. However, the centralized framework has lower reliability since the load balancing algorithms may be dysfunctional due to the failure of the resource manager [25].…”

Section: A System Overviewmentioning

confidence: 99%

Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System

Lin

Chin

Deng

2014

IEEE Systems Journal

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Abstract-Consider a centralized hierarchical cloud-based multimedia system (CMS) consisting of a resource manager, cluster heads, and server clusters, in which the resource manager assigns clients' requests for multimedia service tasks to server clusters according to the task characteristics, and then each cluster head distributes the assigned task to the servers within its server cluster. For such a complicated CMS, however, it is a research challenge to design an effective load balancing algorithm which spreads the multimedia service task load on servers with the minimal cost for transmitting multimedia data between server clusters and clients, while the maximal load limit of each server cluster is not violated. Different from previous works, this paper takes into account a more practical dynamic multi-service scenario in which each server cluster only handles a specific type of multimedia tasks, and each client requests a different type of multimedia services at different time. Such a scenario can be modelled as an integer linear programming problem, which is computationally intractable in general. As a consequence, this paper further solves the problem by an efficient genetic algorithm with immigrant scheme, which has been shown to be suitable for dynamic problems. Simulation results demonstrate that the proposed genetic algorithm can efficiently cope with dynamic multi-service load balancing in CMS.

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“…WSN enjoys wider range of applicable areas such as environment monitoring to detect temperature, healthcare monitoring, sensing battle fields, monitoring weather conditions and target tracking [1][2][3]. Hence WSN involves many surveillance applications, which intends to track a target.…”

Section: Introductionmentioning

confidence: 99%

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Jehan¹,

Punithavathani²

2016

IJIES

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Abstract:This article intends to present a Cluster based Trustable Target Detection and Tracking Scheme (CTTDTS) for Wireless Sensor Network (WSN). The entire network area is segregated into numerous equal sized grids and each grid acts as a cluster. All the grids are populated with equal count of nodes. A predominant node is elected for each grid by means of trust degree, which is computed by the Dempster Shafer theory. The predominant node fixes the minimal count of active nodes per grid and controls the activity of the nodes. The predominant node along with the active nodes detects and tracks the target. Besides this, the predominant node alerts the neighborhood clusters through which the target may traverse. The network lifetime is considerably enhanced by employing job cycle scheduling and clustering technique. The experimental results prove the efficacy of the proposed approach in terms of detection accuracy, energy consumption and network lifetime.

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Pervasive, secure access to a hierarchical sensor-based healthcare monitoring architecture in wireless heterogeneous networks

Cited by 207 publications

References 23 publications

Machine-to-machine (M2M) communications for e-health applications

Machine-to-machine (M2M) communications for e-health applications

Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

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