Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications

作者: Mahdi Zareei , Cesar Vargas-Rosales , Mohammad Hossein Anisi , Leila Musavian , Rafaela Villalpando-Hernandez

DOI: 10.3390/EN12142794

关键词:

摘要: Fast development in hardware miniaturization and massive production of sensors make them cost efficient vastly available to be used various applications our daily life more specially environment monitoring applications. However, energy consumption is still one the barriers slowing down several Slow battery technology, makes harvesting (EH) as a prime candidate eliminate sensor’s barrier. EH can solution enabling future that would extremely costly using conventional battery-powered sensors. In this paper, we analyze performance improvement evaluation situations. A network model developed allow us examine different scenarios. We borrow clustering concept, proven method improve efficiency sensor brought it networks study its effect on Moreover, dynamic distributed transmission power management for proposed evaluated both networks, with without clustering, balancing end-to-end performance. The simulation results indicate that, by adjustment, efficiently, which result improving terms packet delivery ratio 20%, 10% higher lifetime having alive nodes also achieving lower delay reducing hop-count.

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