Work place: Departement of Electrical Engineering - Graduate Program, Mercu Buana University, Jakarta, Indonesia
E-mail: irawan.ekasurya@gmail.com
Website:
Research Interests: Network Security, Data Mining, Data Structures and Algorithms, Analysis of Algorithms
Biography
Irawan Ekasurya was born in 1974 in Indonesia. He received Bachleor degree in information technology from STMIK Jayakarta, Indonesia and a Master student at electrical engineering, Mercu Buana University, Jakarta, Indonesia. His research interests are Wireless Sensor Network, Internet of Things, Data Mining, Big Data, eHealthcare.
By Beny Nugraha Irawan Ekasurya Gunawan Osman Mudrik Alaydrus
DOI: https://doi.org/10.5815/ijitcs.2017.05.05, Pub. Date: 8 May 2017
Nowadays, various Wireless Health Monitoring Systems use Internet of Things to transmit patient's data over Wireless Sensor Network and then the data is stored and processed via Cloud Computing, however, the use of different kind of Wireless Sensor on each system leads to power efficiency problem. This paper analyses and compares the consumption of power on six Wireless Health Monitoring Systems, which are invented to monitor the patient's condition and transfer the data using Wireless Sensor Network. Three different techniques are analyzed, namely GPRS/UMTS (used in one WHMS), Wi-Fi (used in one WHMS), and Bluetooth (used in four WHMS). This paper concludes that the systems that use Bluetooth as their transmission medium are more effective in reducing power consumption than the other systems that use GPRS/UMTS or Wi-Fi.
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