SOM-based dynamic power management (SDPM) framework for wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Dynamic Power Management with Scheduled Switching Modes
Computer Communications
Dynamic Power Management for Sensor Node in WSN Using Average Reward MDP
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Information Sciences: an International Journal
Improved dynamic power management in wireless sensor networks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
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We design a "two-layered" dynamic power management strategy in our sensor node to reduce the power consumption. There are many factors such as the probability of event generation, the battery status, the coverage problem, and the communication situations in our consideration. In network communication, we propose an asynchronous awakening scheme so that each node is free to power on or off its components based on the observed event statistics, and make a trade-off between communication and power consumption. The deepest sleep state period is determined by taking account of the residual power. Combining with these methods, the lifetime of the sensor node can be extended as longer as possible without influencing the system performance.