Elements of information theory
Elements of information theory
Vibration-to-electric energy conversion
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
A Compact, Wireless, Self-Powered Pushbutton Controller
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Ambient intelligence: industrial research on a visionary concept
Proceedings of the 2003 international symposium on Low power electronics and design
An environmental energy harvesting framework for sensor networks
Proceedings of the 2003 international symposium on Low power electronics and design
Dynamic node activation in networks of rechargeable sensors
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 4th international conference on Mobile systems, applications and services
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Power management in energy harvesting sensor networks
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
Control of wireless networks with rechargeable batteries
IEEE Transactions on Wireless 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
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As many sensor network applications require deployment in remote and hard-to-reach areas, it is critical to ensure that such networks are capable of operating unattended for long durations. Consequently, the concept of using nodes with energy replenishment capabilities has been gaining popularity. However, new techniques and protocols must be developed to maximize the performance of sensor networks with energy replenishment. Here, we analyze limits of the performance of sensor nodes with limited energy, being replenished at a variable rate. We provide a simple localized energy management scheme that achieves a performance close to that with an unlimited energy source and at the same time keeps the probability of complete battery discharge low. Based on the insights developed, we address the problem of energy management for energy-replenishing nodes with finite battery and finite data buffer capacities. To this end, we give an energy management scheme that achieves the optimal utility asymptotically while keeping both the battery discharge and data loss probabilities low.