Leveraging Discrete Fourier Transform to Reduce Power Consumption in Underwater Wireless Sensor Network Communications
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Authors
Elmannai, Wafa
Shrestha, Ajay
Elleithy, Khaled M.
Issue Date
2014-03-28
Type
Presentation
Language
en_US
Keywords
Engineering , Faculty research day , Discrete fourier transform , Wireless sensor networks (WSN)
Alternative Title
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 work, we propose a new solution for underwater Wireless Sensor Networks to overcome the problem 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 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. Our validated results showed reduction in the power consumption, thus improving the lifetime and the signal loss rate.