Optimal routing method Internet of underwater thing based on software-based networks

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Optimal routing method Internet of underwater thing based on software-based networks

ارائه دهنده: Provider: Nastaran Rezaei

اساتید راهنما: Supervisors: Reza Mohamadi and Mohamad Nasiri

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Hatam Abdoli and Moharam Mansorizade

زمان و تاریخ ارائه: Time and date of presentation: 2023

مکان ارائه: Place of presentation: 27th class of copmuter engineering

چکیده: Abstract: Underwater sensor networks play an important role in ocean exploration and monitoring by collecting information and routing it to land stations. And efficient and appropriate routing ensures the delivery of strong and reliable data from the source nodes to the destination nodes. slow Setting up a network in the water and sea environment compared to the land environment, due to the different nature of these environments, has challenges such as the way of communication between different components, the issue of energy consumption, the challenge of environmental design and architecture, and the different speed. All these and other cases such as salinity, turbidity, different and non-uniform temperature and variable water depth also add to these challenges. Based on these challenges, appropriate solutions are proposed to overcome them and appropriate parameters are also evaluated. Such as network lifetime, energy consumption, network overhead, routing, delay, packet loss, first node death. So far, various criteria have been introduced to realize routing in sensor networks and the Internet of Things, but the common point of many routing protocols can be summed up in the three headings of energy aggregation or data redundancy and the delay in information reaching the user. Software-oriented networks, due to the separation of the data part from the control part and applications, create an abstract vision and high flexibility, which causes better energy management in the underwater Internet of Things. to be In the proposed method, it has been tried to use smart algorithms for network clustering so that the connections in these networks can be reduced and then energy consumption can be optimized. The decision-making process related to clustering is the responsibility of the network controller, which acted as a sink node in underwater networks, and in general, the controller's task is to calculate and install intra-cluster routing and It is inter-cluster. Finally, the simulation results show that by using the proposed method and by using chaining between cluster heads and optimal routing, delay reduction and increase of node energy due to reduction of sending and receiving frequency, reduction of network traffic and probability of loss. The closing of the packages is observed

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