@inproceedings{eec9752405d845699cca3862526b621a,
title = "Ideal Number of Computers for Real-Time Underwater Computing Systems",
abstract = "Underwater Wireless Sensor Networks (UWSNs) suffer from low bandwidth and high propagation delay especially when heavily data (big data) to be transmitted. As a consequence, end to end delay and power consumption are high in such systems. Group of researchers at the University of Connecticut came up with a noval idea for minimzing the end to end delay and power consumption in Underwater Wireless Sensor Networks. They plant a computer in the deepest layer for processing collected data. Then, the beneficial information gets transmitted from that computer to a surface gateway. In this paper, we discuss the idea of deploying more than one computer and come up with a framework that helps us determining the ideal number of computers needed. Therefore, We propose three different topologies to fulfill the requirements. A framework is proposed to find the ideal number of computers needed. We conduct simulations to show the merits of our system.",
keywords = "clustering algorithms, deployment, topologies, Underwater wireless sensor networks",
author = "Mohammad Alsulami and Raafat Elfouly and Reda Ammar and Huda Aldosari and Abdullah Alenizi",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019 ; Conference date: 10-12-2019 Through 12-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ISSPIT47144.2019.9001761",
language = "English",
series = "2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019",
address = "United States",
}