| Autor: |
Hua, Xu Feng, Tian, Yun Chen, Chen, Cheng Xun, Xing, Ke Zhi |
| Zdroj: |
Applied Mechanics and Materials; January 2013, Vol. 278 Issue: 1 p974-977, 4p |
| Abstrakt: |
Intensive Aquaculture Wireless Sensor Network (WSN) for water quality monitoring has specific requirements such as limited energy availability, low memory. Ant Colony Optimization (ACO) routing algorithm can maximize the lifetime of the network. A modified routing algorithm for Intensive Aquaculture WSN based on the ACO meta-heuristic is presented in this paper. Functions of basic ACO-based algorithm are modified to update the pheromone trail. The performance of Intensive Aquaculture WSN is improved on reducing memory used in monitor nodes and energy spent with communications. The modified routing algorithm was simulated for Intensive Aquaculture WSN scenarios and the results show that it maximizes energy savings. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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