Sayedsepehr Mosavat

@inproceedings{mosavat2023experience,

title = {Experience: ARISTOTLE: wAke-up ReceIver-based, STar tOpology baTteryLEss sensor network},

author = {Sayedsepehr Mosavat and Matteo Zella and Marcus Handte and Alexander Julian Golkowski and Pedro José Marrón},

doi = {10.1145/3583120.3586961},

isbn = {979-8-4007-0118-4},

year  = {2023},

date = {2023-05-09},

booktitle = {Proceedings of the 22nd International Conference on Information Processing in Sensor Networks},

publisher = {ACM Digital Library},

abstract = {A truly ubiquitous, planet-wide Internet of Things requires ultra-low-power, long-lasting sensor nodes at its core so that it can be practically utilized in real-world scenarios without prohibitively high maintenance efforts. Recent advances in energy harvesting and low-power electronics have provided a solid foundation for the design of such sensor nodes. However, the issue of reliable two-way communication among such devices is still an active research undertaking due to the high energy footprint of traditional wireless transceivers. Although approaches such as radio duty cycling have proved beneficial for reducing the overall energy consumption of wireless sensor nodes, they come with trade-offs such as increased communication latency and complex protocols. To address these limitations, we propose ARISTOTLE, an ultra-low-power, wake-up receiver-based sensor node design employing a star network topology. We have deployed ARISTOTLE in two different venues for carrying out the task of weather data collection. In addition to reporting the results of the two deployments, we also evaluate several performance aspects of our proposed solution. ARISTOTLE has a mean power consumption of 236.67 uW while it is in sleep mode and monitoring the radio channel for incoming wake-up signals. Utilizing various sizes of supercapacitors, ARISTOTLE was able to reach system availabilities between 47.83% and 97.36% during our real-world deployments.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{mosavat2022prognoes,

title = {PROGNOES: Prediction of haRvestable sOlar enerGy based on suN irradiatiOn and wEather conditionS},

author = {Sayedsepehr Mosavat and Pedram Golkar and Matteo Zella and Pedro José Marrón},

doi = {10.1145/3560905.3568107},

isbn = {978-1-4503-9886-2/22/11},

year  = {2022},

date = {2022-11-06},

urldate = {2022-11-06},

booktitle = {Proceedings of 10th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ENSsys ’22)},

publisher = {ACM Digital Library},

abstract = {Energy harvesting, batteryless devices can mitigate many shortcomings of battery-operated devices in the coming years, particularly in the area of the Internet of Things. Solar energy is an accessible and effective source of power for such devices. However, the uncontrollable nature of solar energy makes the task of designing and evaluating energy harvesting devices a challenging one. In this work, we propose PROGNOES, a tool that allows the user to forecast the harvestable solar energy by a particular solar cell at a specific time and location. To carry out the forecasts, various algorithms and models are used not only to provide the theoretical solar irradiation but also to provide the weather condition data corresponding to the time and location of the forecasting. PROGNOES can generate forecasts in the form of IV curves, similar to those generated by physical solar cells. Such IV curves can then be emulated with suitable tools to provide energy traces to the energy harvesting devices at design time, therefore facilitating the task of designing robust, reliable energy harvesting, batteryless devices. In our experiments, we find that the energy forecasts carried out by PROGNOES can reach a mean absolute error of 7.16 mW.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{mosavat2021socraetes,

title = {Demo: SOCRAETES: SOlar Cells Recorded And EmulaTed EaSily},

author = {Sayedsepehr Mosavat and Matteo Zella and Pedro José Marrón},

url = {Download Page: https://ewsn2021.ewi.tudelft.nl/posters-and-demos

Pitch Video: https://youtu.be/-QIIKtjDPKE

Repository: https://github.com/SepehrMosavat/SOCRAETES},

isbn = {978-0-9949886-5-2},

year  = {2021},

date = {2021-02-17},

urldate = {2021-02-17},

booktitle = {Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks (EWSN)},

pages = {183-184},

publisher = {ACM Digital Library},

abstract = {We propose SOCRAETES, a simple to replicate tool used for recording and emulation of energy harvesting environments. SOCRAETES aims at aiding with repeatable experimentations during the design and evaluation of energy harvesting devices. The tool is particularly designed with the goal of avoiding complex hardware circuitry. This will allow researchers and hobbyists with little prior experience in electronics to replicate the work, and by doing so benefit from the insights such a tool provides for the design and evaluation of energy harvesting systems. The current implementation of SOCRAETES can measure and emulate solar cell voltages and currents in the range of 0-6.5 V and 0.5-55 mA, respectively. Moreover, the range of measurement and emulation can be modified for specific energy environments and harvesters by utilizing different passive components. This will, in turn, result in higher overall achievable accuracy.},

note = {Best Video Award for the Posters and Demos Track},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}