#### DMCA

## Finite-horizon optimal transmission policies for energy harvesting sensors (2014)

Venue: | in International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE |

Citations: | 3 - 2 self |

### Citations

322 |
Energy scavenging for mobile and wireless electronics,”
- Paradise, Starner
- 2005
(Show Context)
Citation Context ...solar, heat or vibration energy. Due to the potential for energy harvesting nodes to significantly enhance the lifetime of a sensor network, there has been considerable interest in this paradigm; see =-=[1]-=-, [2] for surveys and examples. Since the amount of ambient energy available for the nodes to replenish their batteries can vary unpredictably, it is important for energy harvesting nodes to make judi... |

130 | Optimal energy management policies for energy harvesting sensor nodes,”
- Sharma, Mukherji, et al.
- 2010
(Show Context)
Citation Context ...[6]. Another recent paper [7] proposes computationally simple control policies based on heuristics that achieve near-optimal performance in the finitehorizon case with a finite battery. Finally, [8], =-=[9]-=- take a queue stability view of energy harvesting networks, using Lyapunov optimization techniques. Contributions: In the present paper, we derive optimal transmission policies for energy harvesting n... |

118 | Energy harvesting sensor nodes: survey and implications,”
- Sudevalayam, Kulkarni
- 2011
(Show Context)
Citation Context ..., heat or vibration energy. Due to the potential for energy harvesting nodes to significantly enhance the lifetime of a sensor network, there has been considerable interest in this paradigm; see [1], =-=[2]-=- for surveys and examples. Since the amount of ambient energy available for the nodes to replenish their batteries can vary unpredictably, it is important for energy harvesting nodes to make judicious... |

113 | Optimal energy allocation for wireless communications with energy harvesting constraints,”
- Ho, Zhang
- 2012
(Show Context)
Citation Context ...[5], the authors derive structural properties such as monotonicity for an infinite horizon discounted reward Markov decision process. Similar properties are established for the finite horizon case in =-=[6]-=-. Another recent paper [7] proposes computationally simple control policies based on heuristics that achieve near-optimal performance in the finitehorizon case with a finite battery. Finally, [8], [9]... |

28 | Optimal transmission scheduling over a fading channel with energy and deadline constraints
- Fu, Modiano, et al.
(Show Context)
Citation Context ...ion policy that maximizes the total utility obtained over a finite horizon, when the instantaneous utility is time varying, and the battery replenishes according to a random process. Related Work: In =-=[3]-=-, the authors consider the problem of maximizing the finite horizon throughput of a transmitter sending data over a time-varying channel under a total energy constraint (for example, a fixed battery).... |

24 | Utility optimal scheduling in energy harvesting networks
- Huang, Neely
- 2011
(Show Context)
Citation Context ...e in [6]. Another recent paper [7] proposes computationally simple control policies based on heuristics that achieve near-optimal performance in the finitehorizon case with a finite battery. Finally, =-=[8]-=-, [9] take a queue stability view of energy harvesting networks, using Lyapunov optimization techniques. Contributions: In the present paper, we derive optimal transmission policies for energy harvest... |

12 | On optimal transmission policies for energy harvesting devices
- Michelusi, Stamatiou, et al.
- 2012
(Show Context)
Citation Context ...ed in linear in the energy spent, the authors derive a closed-form optimal policy. For the energy harvesting case, maximizing a time-average utility function over an infinite horizon is considered in =-=[4]-=-. Under a Bernoulli energy arrival, and binary energy expenditure model, the authors show that the optimal policy is of the threshold form, with the threshold values being monotonically decreasing in ... |

9 |
Optimal power allocation for a renewable energy source
- Sinha, Chaporkar
- 2012
(Show Context)
Citation Context ... threshold form, with the threshold values being monotonically decreasing in the energy available. However, an explicit characterisation of the thresholds was not possible. In a closely related paper =-=[5]-=-, the authors derive structural properties such as monotonicity for an infinite horizon discounted reward Markov decision process. Similar properties are established for the finite horizon case in [6]... |

3 |
When simplicity meets optimality: Efficient transmission power control with stochastic energy harvesting
- Wang, Liu
(Show Context)
Citation Context ...ructural properties such as monotonicity for an infinite horizon discounted reward Markov decision process. Similar properties are established for the finite horizon case in [6]. Another recent paper =-=[7]-=- proposes computationally simple control policies based on heuristics that achieve near-optimal performance in the finitehorizon case with a finite battery. Finally, [8], [9] take a queue stability vi... |