Next Generation Wearable Devices: Smart Health Monitoring Device and Smart Sousveillance Hat using D2D Communications in LTE Assisted Networks

Next Generation Wearable Devices: Smart Health Monitoring Device and Smart Sousveillance Hat using D2D Communications in LTE Assisted Networks

Niraj Shakhakarmi (Department of Electronics & Computer Engineering, Navajo Technical University, Crownpoint, NM, USA)
DOI: 10.4018/ijitn.2014040102
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Abstract

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.
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Review Of Literature

Body Area Sensor Networks (BASN) consists of multiple interconnected sensor nodes on, near, or within a human body, which together provide sensing, processing, and communication capabilities. BASN includes the physiological sensors, bio-kinetic sensors and ambient sensors to collect the different medical data, provide to the body aggregator to execute a multitude of functions, including sensing and data fusion, serving as a user interface, and linking BASNs to higher-level infrastructures (Hanson et al., 2009). The drawback of BASN includes the restriction of fewer sensor nodes, limited data range and bandwidth, limited redundancy and scalability, lack of cooperative Qos management and heterogeneous networks access. These are addressed by the smart health monitoring device which can connect with different body sensors or implanted sensors and isolated devices, collect massive video and medical data and execute sensor fusion, data mining, data exchange through D2D communications or LTE infrastructures and cloud storage.

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