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A New Hierarchal and Scalable Architecture for Performance Enhancement of Large Scale Underwater Sensor Networks

Hamidzadeh, Majid | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 41055 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Movaghar, Ali
  7. Abstract:
  8. Underwater Sensor Network (UWSN) is new branch of Wireless Sensor Network (WSN). UWSNs are considerably different from ground base or terrestrial sensor networks in many aspects. These new features bring many challenges to the network architecture or protocol design of UWSNs. This kind of sensor networks has been proposed to detection, monitoring, protecting the oceans as oceanographic data collector, pollution monitoring, offshore exploration, disaster prevention, assisted navigation and tactical surveillance applications. 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 such as 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 it is so important to avoid deploying underwater sensors with single point of failure and bottleneck to improve reliability of our networks in harsh conditions. 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. Given scalability is regarded as the main advantage of clustering algorithms. In this report 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. Genetic algorithm improved our method for 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 the simulation purpose we have developed some MATLAB code. Performance results are obtained taking into consideration different number of level and number of sensors and the future works are mentioned. We believe such a scalable architecture presents information that help network designers to choose proper protocol and clustering algorithms depending on network situation and deployment environments. Results show us for unpredictable environments, flexible and scalable architecture are more efficient and practical than other randomly deployment or other related architectures
  9. Keywords:
  10. Wireless Sensor Network ; Underwater Sensor Network ; Network Topology ; Network Architecture

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