Maximizing the System Value while Satisfying Time and Energy Constraints
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Everlast: long-life, supercapacitor-operated wireless sensor node
Proceedings of the 3rd international conference on Embedded networked sensor systems
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Multi-version scheduling in rechargeable energy-aware real-time systems
Journal of Embedded Computing - Real-Time Systems (Euromicro RTS-03)
Power management in energy harvesting sensor networks
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
Robust and low complexity rate control for solar powered sensors
Proceedings of the conference on Design, automation and test in Europe
Reward Maximization for Embedded Systems with Renewable Energies
RTCSA '08 Proceedings of the 2008 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Steady and fair rate allocation for rechargeable sensors in perpetual sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Minimum Variance Energy Allocation for a Solar-Powered Sensor System
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Power management in energy harvesting embedded systems with discrete service levels
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
A Practical Flow Control Scheme Considering Optimal Energy Allocation in Solar-Powered WSNs
ICCCN '09 Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Adaptive Power Management for Environmentally Powered Systems
IEEE Transactions on Computers
Joint energy management and resource allocation in rechargeable sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Energy management for time-critical energy harvesting wireless sensor networks
SSS'10 Proceedings of the 12th international conference on Stabilization, safety, and security of distributed systems
Towards optimal rate allocation for data aggregation in wireless sensor networks
MobiHoc '11 Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
Migrating operator placement for compositional stream graphs
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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There is currently tremendous interest in deploying energy harvesting wireless sensor networks. Engineering such systems requires striking a careful balance between sensing performance and energy management. Our work addresses this problem through the design and analysis of a harvesting aware utility-based sensing rate allocation algorithm. Based on a network utility formulation, we show that our algorithm is optimal in terms of assigning rates to individual nodes to maximize overall utility, while ensuring energy-neutral operation. To our knowledge, our work is the first optimal solution that maximizes network utility through rate assignments for tree-structured energy harvesting sensor networks. Our algorithm is fast and efficient with running time O(N3), where N is the number of nodes. We evaluate the performance, scalability, and overhead of our algorithm for various utility functions and network sizes, underlining its significant advantages.