A new hierarchal and scalable architecture for performance enhancement of large scale underwater sensor networks

The different characteristics of UWSN and trade off between UWSN and WSN, have been discussed in many researches. Here, we aim to propose a new architecture for very large scale underwater sensor network. In deployment part of sensors, topology plays a crucial role in issues like communication performance, power consumption, network reliability and fault tolerance capabilities. Hence, it is so critical and should be analyzed how we deploy sensors in targets environment. For instance, to improve reliability of our networks in harsh conditions, it is so important to avoid deploying underwater sensors with single point of failure and bottleneck. For this purpose, we present enhanced clustering algorithm to build a topological architecture and we try to set some topological features for our proposed model. Scalability is regarded as the main advantage of clustering algorithms. In this paper, we comprise the pyramidal architecture with our proposed architecture, for building scalable UWSN with capability of fault tolerance and end to end delay estimation. We tried to calculate optimized number of nodes for using maximum number of deployed sensors into the water. Tree of Wheels (ToWs) improved our work of finding enhanced results. To the best of our knowledge, there is no study addressing the organized architecture due to enhance communication in underwater sensor networks. For simulation, we developed some MATLAB codes. Performance results are obtained taking into consideration different number of levels and sensors in along with the future works are mentioned. We believe that such a scalable architecture presents information that helps network designers to choose proper protocol and clustering algorithms depending on network situation and deployment environments.