Harmandeep Singh Sangha ¹, Harsh Sohal ²

Affiliations
1 Department of Electronics and Communication Engineering, Global Institute of Management and Emerging Technologies, Amritsar, Punjab - 143501, IN
2 Chitkara University Research and Innovation Network (CURIN), Chitkara University, Chandigarh-Patiala National Highway (NH-64) - 140 401, Punjab, IN

Abstract

Objectives: This survey of energy harvesting techniques is carried out with an aim to select the best combination of energy harvesting techniques in Wireless Body Area Networks (WBAN). In this paper the scope and demands of WBAN in mobile health and the power requirements is discussed. Methods: The modern and future trends in healthcare have been reviewed to conclude that the Wireless body area network has become a leading solution in mobile health. The prominent use of wireless sensor networks and miniaturization of electronic and electrical devices on a regular basis has authorized the progress of wireless body area networks. Findings: These devices are used to provide a health monitoring on a continuous basis and real time feedback to the user and medical personnel. As these devices are wireless in nature and wide variety of sensors are available so it offers many innovative ways to improve systems involved in healthcare and quality of life. The biggest challenge in use of WBAN is the battery power requirement. Scavenging of energy in human environment has been focused on locating new tremendous ways to charge body nodes in human environment. In such networks the quality of service by considering various parameters like latency, throughput and packet loss is most important. Application/ Improvements: It has been concluded that various energy harvesting techniques are to be incorporated into the nodes at the time of node designing. The intelligent energy optimizing algorithms are to be used. The harvesting technique most suitable for healthcare monitoring applications is piezoelectric harvester as it provides significant power to miniaturizing electronic devices while being small and efficient.

Keywords

Ehealth, Human Energy Harvesting, Mhealth, Telehealth.

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Harkinder Kaur ¹, Amanpreet Kaur ², Harsh Sohal ², Isha Gupta ², Swati Singh ², Surbhi Nagpal ³

Affiliations
1 Department of Computer Science & Engineering, Chitkara University Institute of Engineering & Technology, Chitkara University, IN
2 Department of Electronics & Communication Engineering, Chitkara University Institute of Engineering & Technology, Chitkara University, IN
3 Techno planet labs Pvt Ltd, Faridabad - 121003, Haryana, IN

Abstract

In the following work RAM_Write_Control module has been designed and its performance has been analyzed in terms of utilization of power and energy in order to make it energy and power efficient. The main idea behind this unit is to control the data write operation to the core which is used for saving the raw data in impedance measurement module of Electrical Impedance Tomography (EIT) system, KHU Mark 2.5. The performance of the unit is analyzed using 14.2 version of Xilinx software at Virtex-5 FPGA chip. The total power consumption of 3 logic families HSTL (High Speed Transceiver Logic), LVCMOS (Low Voltage Metal Oxide Semiconductor) and LVTTL (Low Voltage Transistor-Transistor Logic) at different I/O Standards have been compared in order to excrete out the most energy efficient logic family. Frequency scaling technique has also been applied by varying the frequencies at a scale of 100 Hz i.e., from 400MHz to 500 MHz to 600 MHz to 700 MHz in a way to find out the most power efficient frequency. It has been observed minimum power consumption occurs in case if we use LVCOMS15 I/O standard of LVCMOS logic family in comparison to other IO standards of other 2 logic families. And this maximum power savage occurs at a lowest frequency of 400 MHz.

Keywords

Energy Efficiency, EIT RAM, FPGA, System, WRITE CONTROL, Xilinx.

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