A NOVEL DESIGN OF A SOFTWARE-DEFINED ACOUSTIC ADAPTIVE UNDERWATER SENSOR NETWORK

Abstract

In this paper, a novel design of a software-defined acoustic adaptive underwater sensor network is implemented. Basically, to explore the ocean realm, underwater sensor network plays very important role. The main intent of using software defined network is to separate the data plane from control plane to build a programmable network infrastructure. Initially, the input data is given to sensor, and then sensor will filter the data. The filtered data will be translated using A/D translator. The main intent of SVC (Scalable Video Coding) encoder is to encode the video as one base layer and few enhancement layers. Because of this communication channel bandwidth will be adapted. Spatial resolutions, temporal resolutions and lower bits will be truncated as original bit streams by using SVC. Now this encoded data will be retransmitted and performs multiplexing by using SADR (Software-Defined Acoustic Radio system). The transmitted data will be received by SADR receiver after performing channel estimation. The obtained data will perform the SVC decoder operation. After that data is translated into D/A translator. At last the decision is made for video quality. Hence from results it can observe that the accuracy, quality, Bit error rate and computational time will improve the performance in very effective way.