som-based dynamic power management (sdpm) framework for wireless sensor networks
Energy is one of the most precious resources for wireless sensor networks. Dynamic power management (DPM) is an efficient technique to reduce the energy consumption and increase the lifetime of wireless sensor networks. DPM for the event-driven applications in wireless sensor networks has been studied extensively, but power saving for the time-driven applications has not been studied deeply. This paper proposes two novel DPM schemes for the time-driven applications in wireless sensor networks. In the proposed two schemes, sensor nodes reduce redundant data reporting and hence save energy based on neighbor distance and data mining information, respectively. The power saving performance and effectiveness of the proposed schemes are evaluated by confirmed numerical analysis and simulation.
dynamic power management sensor networks self-organizing map data extraction