Abstract
Recently, Wireless Body Area Networks (WBANs) have become an emerging technology in healthcare, where patients are equipped withwearable and implantable body sensor nodes to gather sensory information for remote monitoring. The increasing development of coordinator devices on patients enables the internetworking of WBANs in heterogeneous wireless networks to deliver physiological information that is collected at remote terminals in a timely fashion. However, in this type of network, providing a seamless handover with a guaranteed Quality of Service (QoS), especially emergency services, is a challenging task. In this paper, we proposed an effective Multi-Attribute Decision-Making (MADM) handover algorithm that guarantees seamless connectivity. A patient’s mobile devices automatically connect to the best network that fulfills the QoS requirements of different types of applications. Additionally, we integrated a Content-Centric Networking (CCN) processing module into different wireless networks to reduce packet loss, enhance QoS and avoid unnecessary handovers by leveraging in-network caching to achieve efficient content dissemination for ubiquitous healthcare. Simulation results proved that our proposed approach forthe model with CCN outperforms the model without CCN and Received Signal Strength Vertical Handoff (RSS-VHD) in terms of the number of handovers, enhancing QoS, packet loss, and energy efficiency.
Highlights
Over the past decade, Wireless Sensor Networks (WSNs) have attracted a large amount of attention from both a theoretical and applied point of view
To investigate the effectiveness of our proposed approach (MADM with Centric Networking (CCN)) as well as to underline its advantages, the simulations are conducted in comparison with those without CCN and Received Signal Strength Vertical Handoff (RSS-vertical handoff (VHD)) in terms of the number of handovers, enhancing the Quality of Service (QoS), the packet loss, and the energy efficiency
This result demonstrates the effectiveness of our approach in the selection of the best network for each application type, even when the QoS requirements change over time
Summary
Wireless Sensor Networks (WSNs) have attracted a large amount of attention from both a theoretical and applied point of view. Based on the profits in the field of portable medical sensors, WSNs have been applied and adopted in ubiquitous healthcare, interactive gaming and entertainment applications (called WBAN) [1]. In a WBAN, various sensor nodes are equipped on the patient that continuously send patient information (such as electrocardiogram (ECG), electroencephalogram (EEG), electromyography (EMG), heartbeat, blood pressure, body temperature, etc.) to a remote server or physician via a PDA (Personal Digital Assistant), laptop or Smartphone. With their ubiquitous functions in healthcare, WBANs help to monitor the status of patients over the long term without restricting daily activities.
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