Battery Friendly Internet of Medical Media Things Networks
文献类型：会议论文
| 作者 | Sandeep Pirbhulal; Ali Hassan Sodhro; Aicha Sekhari; Yacine Ouzrout; Wanqing Wu |
| 出版日期 | 2017 |
| 会议日期 | 2017 |
| 英文摘要 | The problem is motivated by the observation that most of the mobile and wearable healthcare devices used for wireless communication are battery-operated, and cannot be used indiscriminately because of limited energy sources and has to be regularly recharged from a power supply. We, therefore, design ON-OFF Battery Friendly Algorithm (OBFA) to prolong the life time of battery-operated devices by minimizing battery charge consumption. We select human vital sign signal Electrocardiogram (ECG) data from World’s larger database, i.e., PhysioNet and tested with our proposed OBFA for further transmission over joint IoT and Wireless Body Sensor Networks (WBSNs). Experimental results reveal that battery charge consumption is minimized and lifetime is extended in comparison with conventional baseline algorithm. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12176]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Sandeep Pirbhulal,Ali Hassan Sodhro,Aicha Sekhari,et al. Battery Friendly Internet of Medical Media Things Networks[C]. 见:. 2017. |
入库方式： OAI收割
来源：深圳先进技术研究院
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