Information capacity of energy harvesting sensor nodes

@article{Rajesh2011InformationCO,
  title={Information capacity of energy harvesting sensor nodes},
  author={Ramachandran Rajesh and Vinod Sharma and Pramod Viswanath},
  journal={2011 IEEE International Symposium on Information Theory Proceedings},
  year={2011},
  pages={2363-2367}
}
Sensor nodes with energy harvesting sources are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supporting ‘green communication’. We study such a sensor node with an energy harvesting source and compare various architectures by which the harvested energy is used. We find its Shannon capacity when it is transmitting its observations over an AWGN channel and show that the capacity achieving energy management policies are related to the… 

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References

SHOWING 1-10 OF 30 REFERENCES
Optimal energy management policies for energy harvesting sensor nodes
TLDR
A greedy policy is identified which, in low SNR regime, is throughput optimal and also minimizes mean delay and two energy management policies which minimize the mean delay in the queue are obtained.
Efficient energy management policies for networks with energy harvesting sensor nodes
TLDR
This work studies sensor networks with energy harvesting nodes and develops efficient energy management policies that are throughput optimal, i.e., the data queue stays stable for the largest possible data rate.
Studying the feasibility of energy harvesting in a mobile sensor network
TLDR
The problem of uneven energy consumption is characterized, energy harvesting is suggested as a possible solution, and a simple analytical framework is provided to evaluate energy consumption and the scheme.
An environmental energy harvesting framework for sensor networks
TLDR
This work presents a distributed framework for the sensor network to adaptively learn its energy environment and gives localized algorithms to use this information for task sharing among nodes, which allows the system to exploit its energy resources more efficiently, thus increasing its lifetime.
Wireless sensor networks with energy harvesting technologies: a game-theoretic approach to optimal energy management
TLDR
This article presents an optimal energy management policy for a solar-powered sensor node that uses a sleep and wakeup strategy for energy conservation and uses the Nash equilibrium as the solution of this game.
Power management in energy harvesting sensor networks
Power management is an important concern in sensor networks, because a tethered energy infrastructure is usually not available and an obvious concern is to use the available battery energy
Optimal Sleep-Wake Policies for an Energy Harvesting Sensor Node
TLDR
The Throughput Optimal policy developed in the previous work is extended to sensors with two modes and can increase the throughput substantially and stabilize the data queue by allowing the node to sleep in some slots and to drop some generated packets.
Information-theoretic analysis of an energy harvesting communication system
  • Omur Ozel, S. Ulukus
  • Computer Science
    2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops
  • 2010
TLDR
This work studies the coding problem with random energy arrivals at the transmitter of the classical additive white Gaussian noise channel model and derives the optimal offline power allocation for maximum average throughput and provides an algorithm that finds the optimal power allocation.
Emerging techniques for long lived wireless sensor networks
TLDR
Recent advances in energy-aware platforms for information processing and communication protocols for sensor collaboration are described and emerging, hitherto largely unexplored techniques, such as the use of environmental energy harvesting and the optimization of the energy consumed during sensing are looked at.
Energy-constrained modulation optimization
TLDR
It is shown that up to 80% energy savings is achievable over nonoptimized systems and that the benefit of coding varies with the transmission distance and the underlying modulation schemes.
...
...