Energy-Aware Routing in Cluster-Based Sensor Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Energy-aware routing protocol for ad hoc wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Power management in energy harvesting sensor networks
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
An efficient routing scheme with optimal power control in wireless multi-hop sensor networks
Computer Communications
Estimating clock uncertainty for efficient duty-cycling in sensor networks
IEEE/ACM Transactions on Networking (TON)
Optimal sleep-wake policies for an energy harvesting sensor node
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimal energy management policies for energy harvesting sensor nodes
IEEE Transactions on Wireless Communications
Joint energy management and resource allocation in rechargeable sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Energy efficient transmission strategies for body sensor networks with energy harvesting
IEEE Transactions on Communications
Opportunistic routing in wireless sensor networks powered by ambient energy harvesting
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Wireless Communications
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Current power management mechanisms for energy harvesting wireless sensors typically rely on predicted information about the amount of energy that can be harvested in the future. However, such mechanisms suffer from inevitable prediction errors, which in turn degrade the overall performance in real implementations. To circumvent such problems, we propose a fundamental framework to efficiently manage the harvested energy in a prediction free manner. In particular, we theoretically derive a set of Budget Assigning Principles (BAPs) to maximize the amount of harvested energy that can be utilized by a sensor in the presence of battery energy storage inefficiencies, which in turn maximize the sensor's performance level in terms of the sensor's average duty cycle. A Prediction FREE Energy Neutral (P-FREEN) power management mechanism is then proposed to implement the BAPs based solely on current observed energy harvesting rate and battery residual energy level. The performance of P-FREEN is verified via theoretical analysis and extensive computer simulations using real life energy harvesting data sets.