Battery Friendly Internet of Medical Media Things Networks

Ali Hassan Sodhro (1) , Aicha Sekhari (1) , Yacine Ouzrout (1) , Sandeep Pirbhulal (2)

1 DISP - Décision et Information pour les Systèmes de Production
2 SIAT - Shenzhen Institutes of Advanced Technology

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.

Mots clés: WBSNs; ON-OFF Medical Media; Battery Friendly; OBFA

Domaines: Système multi-agents [cs.MA]; Théorie de l'information [cs.IT]; Modélisation et simulation; Ingénierie assistée par ordinateur

Ali Hassan Sodhro, Aicha Sekhari, Yacine Ouzrout, Sandeep Pirbhulal. Battery Friendly Internet of Medical Media Things Networks. 3rd EAI International Conference on Interoperability in IoT (InterIoT 2017), Nov 2017, Valence, Spain. ⟨hal-01640987⟩