Optimizing Design and Performance of Underwater Acoustic Sensor Networks with 3D Topology SCIE SCOPUS

Cited 5 time in WEB OF SCIENCE Cited 5 time in Scopus
Title
Optimizing Design and Performance of Underwater Acoustic Sensor Networks with 3D Topology
Author(s)
Song Y.; Kong P.-Y.
Publication Year
2020-07
Abstract
This study aims to optimize the design and performance of three-dimensional (3D) underwater acoustic sensor networks (UASNs). First, we develop an analytical model to quantify network performances in terms of the packet queueing delay and packet error probability for sensors in a 3D UASN. The model considers the retransmission delay due to packet transmission errors and packet collisions when calculating the packet queueing delay. The packet queueing delay depends on the choice of medium access control (MAC) protocol. We consider two different MAC protocols: slotted ALOHA and Request-to-Send and Clear-to-Send (RTS/CTS)-based MAC, which are the representative random access-based and handshake-based MAC protocols for UASNs, respectively. Based on the model, we further determine the smallest data sink density required to meet the desired packet error probability requirement for underwater sensor density, which can help network operators to design and build UASNs in a cost-effective way. To do this, we formulate a simple optimization problem that aims to minimize the data sink density while guaranteeing an upper bound for packet error probability. Using extensive numerical evaluations, network operation strategies are then presented to achieve the desired performance requirements in 3D UASNs.
ISSN
1536-1233
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38606
DOI
10.1109/TMC.2019.2911940
Bibliographic Citation
IEEE TRANSACTIONS ON MOBILE COMPUTING, v.19, no.7, pp.1689 - 1701, 2020
Publisher
IEEE COMPUTER SOC
Keywords
Three-dimensional displays; Delays; Media Access Protocol; Error probability; Underwater acoustics; Throughput; Packet queueing delay; packet error probability; network design and operation; 3D underwater acoustic sensor network
Type
Article
Language
English
Document Type
Article
Publisher
IEEE COMPUTER SOC
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse