| Autor: |
Rao PR; National Institute of Technology Goa, Ponda 403401, Goa, India., Lipare A; Department of CSE, Indian Institute of Information Technology Pune, Pune 411041, Maharashtra, India., Edla DR; National Institute of Technology Goa, Ponda 403401, Goa, India., Parne SR; National Institute of Technology Goa, Ponda 403401, Goa, India. |
| Jazyk: |
angličtina |
| Zdroj: |
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Sep 25; Vol. 23 (19). Date of Electronic Publication: 2023 Sep 25. |
| DOI: |
10.3390/s23198074 |
| Abstrakt: |
Battery replacement or recharging is essential for sensor nodes because they are typically powered by batteries in wireless sensor network (WSN) applications. Therefore, creating an energy-efficient data transfer technique is required. The base station (BS) receives data from one sensor node and routes the data to another sensor node. As a result, an energy-efficient routing algorithm using fuzzy logic (EERF) represents a novel approach that is suggested in this study. One of the reasoning techniques utilized in scenarios where there is a lot of ambiguity is fuzzy logic. The remaining energy, the distance between the sensor node and the base station, and the total number of connected sensor nodes are all inputs given to the fuzzy system of the proposed EERF algorithm. The proposed EERF is contrasted with the current systems, like the energy-aware unequal clustering using fuzzy logic (EAUCF) and distributed unequal clustering using fuzzy logic (DUCF) algorithms, in terms of evaluation criteria, including energy consumption, the number of active sensor nodes for each round in the network, and network stability. EAUCF and DUCF were outperformed by EERF. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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