Effect of Sound Speed on Localization Algorithm for Underwater Sensor Networks

Autonomous Under Water Sensor Networks UWSNs form distributed amorphous computing environments. Efficient resolution for an unreachable UWSN which includes failure-prone nodes will require strategies that are as simple as possible in computations and local communications, to facilitate self-organization. Localization of Under Water Sensor Networks UWSNs is the most challenging and essential task. In this paper we propose a localization technique for UWSNs which is implemented using a self-organizing localizing algorithm. When acoustic waves propagate through a medium, it travels with varying speed. This change in speed of sound wave is highly influenced by ocean parameters. In our proposed work we study the effect of sound speed on localization algorithm for Underwater Sensor Networks. The results show that our proposed localization technique performs better.

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