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A New Algorithm Based on Discrete Fourier Transform to Improve the Lifetime of Underwater Wireless Sensor Networks Communications

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dc.contributor.author Elmannai, Wafa
dc.contributor.author Elleithy, Khaled M.
dc.contributor.author Shrestha, Ajay
dc.contributor.author Alshibli, Mohamed
dc.contributor.author Alattas, Reem
dc.date.accessioned 2015-07-20T16:10:40Z
dc.date.available 2015-07-20T16:10:40Z
dc.date.issued 2014-04
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1262
dc.description © ASEE 2014 en_US
dc.description.abstract Wireless Sensor Networks (WSNs) have become an important means of gathering environmental and physical information from a wide range of areas. WSNs could be used in underground, aboveground and underwater applications. In this paper, we focus on underwater transmission. One of the main limitations of WSNs is the power consumption and short lifetime of the sensors. In this paper, we propose a new solution for underwater Wireless Sensor Networks to overcome the problem that is caused by the ionized nature of seawater. This work presents a methodology to improve the lifetime of WSNs. The wireless sensors have three main functions: sensing, processing and transmitting. The first two factors consume very less power compared to the third. Thus, we need to guarantee the successful transmission of signal with nominal and efficient use of power to improve the lifetime of the sensors. Improving the lifetime of these sensors will improve the experience of the end user, as the information-gathering lifetime of the sensors increases. Based on the results presented in this paper, we can reduce the power consumption, thus improving the lifetime and the signal loss rate. en_US
dc.language.iso en_US en_US
dc.publisher ASEE
dc.subject Under water communication en_US
dc.subject Wireless sensor networks (WSN) en_US
dc.subject Frequency en_US
dc.subject Energy consumption en_US
dc.title A New Algorithm Based on Discrete Fourier Transform to Improve the Lifetime of Underwater Wireless Sensor Networks Communications en_US
dc.type Article en_US
dc.event.location Bridgeport, CT en_US
dc.event.name 2014 Zone 1 Conference of the American Society for Engineering Education en_US


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