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| Title | Methods And Tools For Minimizing The Power Consumption Of Wireless Sensor Network |
|---|---|
| ID_Doc | 36905 |
| Authors | Yatsenko A.; Wolff C.; Parkhomenko A.; Tulenkov A. |
| Year | 2023 |
| Published | 2023 IEEE European Technology and Engineering Management Summit, E-TEMS 2023 - Conference Proceedings |
| DOI | http://dx.doi.org/10.1109/E-TEMS57541.2023.10424609 |
| Abstract | Nowadays, wireless sensor networks (WSN) are gaining more popularity, in particular for Smart City and Smart Building systems implementation. The ensuring of long-term uninterrupted operation of such networks can be solved on the basis of the integrated introduction of autonomous alternative power sources, energy-efficient modes of WSN components operation and modern data transfer protocols, as well as the development of software solutions to ensure reliable operation with data from sensors. As the studies have shown, data transmission in WSN is the part of the workflow which consumes a significant part of electricity. Thus, the algorithm of data collecting and transmitting based on fuzzy logic has been developed for analysis of devices' state, assessment of sensor data changes and the time of the last connection at each iteration. It allows setting the behavior of the endpoints, whether to send data to the router or save a certain time in local memory. In critical cases (low battery charge, volume of saved data is too large to transfer), a corresponding message will be sent to the router. The developed algorithm will minimize the number of connections of the endpoints to the network, which will significantly reduce the energy consumption of each device and WSN as a whole. In addition to energy saving, the proposed approach will improve the reliability of WSN, as it also predicts the state of the available routers to eliminate the case of data loss due to router failures. © 2023 IEEE. |
| Author Keywords | fuzzy logic; i-Beans; router; Wi-Fi module; wireless sensor network |
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