Energy Harvesting Aware Clustering and Opportunistic Transmission with Fuzzy Petri Net Reasoning

• Main Authors: Aya Mostafa, Khaled Hassan
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2015-09-01
• Series: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
• Subjects: energy harvesting; fuzzy petri nets reasoning; wireless sensor networks; clustering algorithms
• Online Access: https://eudl.eu/pdf/10.4108/eai.17-9-2015.150283

As a solution to the environmental and natural disaster monitoring and detection, we propose an energy efficient large-scale autonomous Wireless Sensor Networks (WSNs) that can withstand the limited battery lifetime problem. Hereto, an energy-harvesting (EH) aware clustering technique is introduced using aknowledge-based inference approach for selecting cluster heads using fuzzy petri nets with three level hierarchy. Our EH mechanism endorses the sensor nodes with hybrid sources EH giving a potential boost for the network life. The robustness of our WSN is addressed by introducing a primary and a secondarybackups for each level to reduce the frequency of reclustering. Finally, an opportunistic energy harvesting aware transmission technique is presented to enhance the network life-time. The performance of this scheme is evaluated against the famous clustering techniques, where the proposed algorithms extend the WSN field life-time significantly.