Wireless sensor networks are pervasive networks
Wireless sensor networks are pervasive networks, that energy consuming is the most challenging problem in these networks. In order to properly use of energy consumption and solve some stringent constraints by acoustic waves, so in this research we introduced a method which is the hybridization between SBGA and Frog algorithms under fuzzy conditions for routing of the underwater wireless sensor networks (UWSNs) under the conditions of improve energy, decrease cost and increase packet time delivery.
In this research, is new and innovative from the point of view: we provided an overview of underwater wireless sensor networks and compare it with GPS. And we discussed the applications, components, ways contact and topologies of UWSN. As well as we discussed challenges in acoustic waves and UWSN. From another point of view we introduced a method which is the combination of frog algorithm, fuzzy logic system, and SBGA algorithm for choice the best path.
We use the environment is 3D, and sensors are mobile, in frog algorithm the process of selecting relay nodes, where that the sensor nodes that are located in bad place enter sleep mode for the purpose of saving energy. We also consider parameters the quality and load balance of sensor nodes besides residual energy as inputs are used for fuzzy logic to estimate the best for choice the node. Frog-fuzzy method may fall into the loop so the algorithm will not terminate. The proposed method uses from SBGA if the Frog-Fuzzy algorithm falls into a trap. We tested the performance of proposed method on different acoustic frequency length of sensor nodes and compared it with the state that fuzzy is not applied. Experimental results show that proposed method has well and remarkable performance.
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