Application of a New Energy-Efficient Protocol for MAC Layer for E-Health
Mohammed Yusuf Agetegba, Pascal Lorenz · 2016
The formula E = Pt still hold true as we forge ahead in our unending quest to extend power lifetime in e-Health wireless sensors. Our research work proposes predictive MAC manipulation and intelligent node clustering with associated algorithms to further lower the energy consumption of e-Health devices equipped with wireless sensors. Predictive manipulation of MAC involves powering on and off the wireless radio at predetermined intervals for maximum energy utilization, coupled with the ability of each node to predictively send messages only to predetermined nodes. Our approach equally utilizes a central gateway server to periodically optimize, and reprogram nodes' predictive behavior. This approach is similar to an orchestra conductor, predictively directing which instrument or tenor should be played and for how long. Our predictive MAC manipulation equally reduces channel contention rates amongst related nodes, since the channel is available only to the sending node within each cluster.