New Paper Published: Self-Adaptive Strategy for Wireless Sensor Networks

I’m excited to announce that our latest paper has been published in Sensors! 🎉 This time, we’ve developed a self-adaptive strategy based on fuzzy control systems to improve the performance of wireless sensor networks (WSNs). Our approach aims to enhance communication reliability and reduce energy consumption, making WSNs more efficient for various applications (Hernández-Díaz et al., 2015).

Key Highlights

Fuzzy Control Systems: We used fuzzy logic to create a self-adaptive strategy that optimizes the performance of WSNs.
Improved Efficiency: Our strategy helps maintain communication reliability while minimizing energy consumption.
Real-World Deployment: We tested our approach in a real WSN deployment using SunSPOT nodes, and the results were very promising.

Authors: Vicente Hernández Díaz, José-Fernán Martínez Ortega, Néstor Lucas Martínez, and Raúl M. Del Toro.

Visual References

Control system design for self-adapting the Wireless Sensors Networks (WSN) nodes transmission power considering the number of neighbors and the battery level

Software components accomplishing the self-adaptive system improving the energy consumption while keeping the communication connectivity

On the left, the control system design for self-adapting the Wireless Sensors Networks (WSN) nodes transmission power considering the number of neighbors and the battery level. Right, the software components accomplishing the self-adaptive system improving the energy consumption while keeping the communication connectivity.

Evolution of the total charge per experiment, relative to the first value of each one

Evolution of the total transmission error rate per experiment

Round transmission error rate per experiment

On the left, the evolution of the total charge per experiment, relative to the first value of each one. Middle, the evolution of the total transmission error rate per experiment. Right, the round transmission error rate per experiment.

References

2015

Sensors
Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks

Vicente Hernández-Díaz, José-Fernán Martínez-Ortega, Néstor Lucas-Martínez, and Raúl M. Del Toro Matamoros

Sensors, Sep 2015

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The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Technological paradigms like Internet of Things (IoT) and Cyber-Physical Systems (CPS) are providing reference models, architectures, approaches and tools that are to support cross-domain solutions. Thus, CPS based solutions will be applied in different application domains like e-Health, Smart Grid, Smart Transportation and so on, to assure the expected response from a complex system that relies on the smooth interaction and cooperation of diverse networked physical systems. The Wireless Sensors Networks (WSN) are a well-known wireless technology that are part of large CPS. The WSN aims at monitoring a physical system, object, (e.g., the environmental condition of a cargo container), and relaying data to the targeted processing element. The WSN communication reliability, as well as a restrained energy consumption, are expected features in a WSN. This paper shows the results obtained in a real WSN deployment, based on SunSPOT nodes, which carries out a fuzzy based control strategy to improve energy consumption while keeping communication reliability and computational resources usage among boundaries.
@article{HernandezDiaz2015, title = {Self-{{Adaptive Strategy Based}} on {{Fuzzy Control Systems}} for {{Improving Performance}} in {{Wireless Sensors Networks}}}, author = {{Hern{\'a}ndez-D{\'i}az}, Vicente and {Mart{\'i}nez-Ortega}, Jos{\'e}-Fern{\'a}n and {Lucas-Mart{\'i}nez}, N{\'e}stor and Del Toro Matamoros, Ra{\'u}l M.}, year = {2015}, month = sep, date = {2015-09-18}, journal = {Sensors}, volume = {15}, number = {9}, pages = {24125--24142}, issn = {1424-8220}, doi = {10.3390/s150924125}, urldate = {2022-11-03}, copyright = {CC BY 4.0}, langid = {english}, dimensions = {true}, google_scholar_id = {zYLM7Y9cAGgC}, }