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| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Python-Based TinyIPFIX in Wireless Sensor Networks |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Electronics |
| Publisher | MDPI Publishing |
| Geographical Reach | international |
| ISSN | 2079-9292 |
| Volume | 11 |
| Number | 3 |
| Page Range | 472 |
| Date | 2022 |
| Abstract Text | While wireless sensor networks (WSN) offer potential, their limited programmability and energy limitations determine operational challenges. Thus, a TinyIPFIX-based system was designed such that this application layer protocol is now used to exchange data in WSNs efficiently. The new prototype is based on the Espressif ESP32-WROOM-32D Internet-of-Things (IoT) platform, which is becoming famous, as it is inexpensive but powerful compared to older generations of IoT devices. The system implementation is provided in the programming language MicroPython, which provides a simple and efficient implementation, compared to a lower-level programming language. Therefore, this approach focuses on value creation rather than platform-specific implementation difficulties. The system is evaluated in smart home use cases and displays valuable overhead, reliability, and power efficiency. TinyIPFIX outperforms the data overhead of the type–length–value (TLV) paradigm by a factor of 7% when a TinyIPFIX data message carries only two records, and one TinyIPFIX template message is sent per three TinyIPFIX data messages. A further decrease in overhead is observed when the number of data records per message and the number of TinyIPFIX data messages sent per one TinyIPFIX template message increase to larger values. The message delivery between end devices and the application server resides at a very high level, close to 100%, when the transmission reliability is secured with acknowledgments and retransmissions. The energy efficiency resides at the limited level, as the experienced deep sleep power consumption of the ESP32 device resides at the milliwatt level. |
| Free access at | DOI |
| Official URL | https://doi.org/10.3390/electronics11030472 |
| Related URLs | |
| Digital Object Identifier | 10.3390/electronics11030472 |
| Other Identification Number | merlin-id:22131 |
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