| Autor: |
Aya Mostafa, Khaled Hassan |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 2, Iss 5 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
2410-0218 |
| Popis: |
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 a knowledge-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 secondary backups 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
