# Routing with Renewable Energy Management in Wireless Sensor Networks
## 3 REBORN-Renewable Energy-Based Routing Algorithm
The results show that our proposed control mechanism can maintain a good cost/benefit relationship regarding the energy usage and the number of data packets sent. The results are very promising, but some advantages and limitations still need to be further explored in future works. For instance, we intend to improve the current energy model as well as our proposed solution so they can adapt to seasonal variations in sunlight and diurnal cycles and also take into consideration the weather forecast for the next few days to make better decisions on whether to save energy (on cloudy days) or to spend energy sending more data (on sunny days). Finally, as discussed in Section 3.3.2, we also intend to propose and evaluate the performance of different behavior curves in future work. All authors contributed equally to the conceptualization, methodology, investigation, and writing. [PERSON] and [PERSON] contributed equally on software and validation. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The authors would like to thank Sidia Institute of Science and Technology for support. The authors declare no conflict of interest. ## References

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