This controller is based on the “six degrees of separation” idea, adapted to the WSN context.<\/p>\n<\/blockquote>\n
A detailed description of the controller and the results obtained in the demonstration tests are available at the following references:<\/p>\n
- \n
- Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks<\/a><\/li>\n
- Communication Range Dynamics and Performance Analysis for a Self-Adaptive Transmission Power Controller<\/a><\/li>\n<\/ul>\n
\nMarket demands<\/h4>\n
- \n
- The wireless sensor networks market is expected to reach almost 95 billion dollars by 2023, at a CAGR of 19%. Software solutions of these networks, including platforms and components that are key for applications such as data collection or remote monitoring, would grow at a even highest rate during this forecast period.<\/li>\n
- The deployment of wireless sensors in a context in which the permanent supply of energy is not possible requires adequate planning to extend the use of the batteries that power them. In these scenarios, a self-adaptive controller capable of autonomously adjusting the transmission power implies an improvement in energy consumption, and even in the capacity of communications by reducing possible interferences.<\/li>\n
- This controller has also the advantage of being agnostic to the rest of the uses of the sensors in which it is deployed. Thus, its use does not require special preparation, beyond deciding the desired number of neighbors for each sensor based on the number of devices deployed and their distribution.<\/li>\n<\/ul>\n
\nCompetitive advantages<\/h4>\n
- \n
- Ease of use.<\/li>\n
- Energy consumption improvement (an 11% improvement in energy consumption <\/strong>over the use of a fixed transmission power).<\/li>\n
- Communications improvement (message delivery rate greater than 99% once network reached a steady state).<\/li>\n
- Dynamic adjustment of the transmission power in a WSN without requiring to change the configuration whenever sensors are added to or removed from the WSN.<\/li>\n<\/ul>\n
\nPrevious references<\/h4>\n
- \n
- The self-adaptative controller was developed as part of the European research project DEMANES<\/a>. Several tests were carried out to demonstrate that it can achieve a significative energy consumption improvement. Moreover, some of the tests showed excelent packet delivery rates, being even better than when using a fixed transmission power.<\/li>\n
- This software has been released under a dual open license allowing both an academic and industrial use. It is available at https:\/\/github.com\/DEMANES\/Reasoning-Engine-for-SunSPOT<\/a>.<\/li>\n<\/ul>\n
<\/p>\n
\n
“In tests, the use of the self-adaptive transmission power controller obtained an 11% improvement in energy consumption <\/strong>over the use of a fixed transmission power, with a message delivery rate greater than 99%<\/strong> once network reached a steady state”<\/p>\n<\/blockquote>\n
\nIntellectual property<\/h4>\n
- \n
- Software registration M-007848\/2015<\/li>\n<\/ul>\n
\nDevelopment stage<\/h4>\n
- \n
- Concept<\/li>\n
- Research<\/li>\n
- Lab – prototype<\/strong><\/li>\n
- Industrial prototype<\/li>\n
- Production<\/li>\n<\/ul>\n
\n<\/p>\n
- This software has been released under a dual open license allowing both an academic and industrial use. It is available at https:\/\/github.com\/DEMANES\/Reasoning-Engine-for-SunSPOT<\/a>.<\/li>\n<\/ul>\n
- Communication Range Dynamics and Performance Analysis for a Self-Adaptive Transmission Power Controller<\/a><\/li>\n<\/ul>\n