Name
Abstract | ||
|---|---|---|
Currently, medical media technologies have become a center of attention due to emerging trends in miniaturized wearable devices from factories to health corner stores everywhere. Due to the power-constrained nature of these portable devices, it is challenging to adopt them during critical medical operations and diagnoses. Maximizing energy efficiency and, hence, extending the battery life is vital. In addition, conventional approaches with constant transmission power are inappropriate option for green and smart healthcare. Thus, this paper first proposes a transmission power control (TPC)-based energy efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. Second, a hardware platform was developed on the Intel Galileo board to test and compare the proposed EEA and conventional adaptive TPC (ATPC) in terms of energy and channel reliability or packet loss ratio (PLR). Experimental results revealed that the proposed EEA obtained energy savings of 42.5% with an acceptable PLR compared with that of the traditional ATPC method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2859205 | IEEE ACCESS |
Keywords | Field | DocType |
Healthcare systems,medical media,energy-efficient,adaptive,power control | Wireless,Efficient energy use,Computer science,Power control,Computer network,Packet loss,Real-time computing,Intel Galileo,Wearable technology,Wireless sensor network,Channel reliability | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 4 |
PageRank | References | Authors |
0.40 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Hassan Sodhro | 1 | 112 | 10.16 |
| sandeep pirbhulal | 2 | 165 | 17.59 |
| Marwa Qaraqe | 3 | 17 | 12.45 |
| Sonia Lohano | 4 | 19 | 1.02 |
| Gul Hassan Sodhro | 5 | 8 | 1.81 |
| Naveed Ur Rehman Junejo | 6 | 5 | 1.52 |
| Zongwei Luo | 7 | 296 | 37.69 |