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UNDERSTANDING AND EXPLOITING THE ACOUSTIC PROPAGATION
DELAY IN UNDERWATER SENSOR NETWORKS
by
Affan Ahmed Syed
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
August 2009
Copyright 2009 Affan Ahmed Syed
Object Description
| Title | Understanding and exploiting the acoustic propagation delay in underwater sensor networks |
| Author | Syed, Affan Ahmed |
| Author email | affan.syed.usc@gmail.com; asyed@isi.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science (Computer Networks) |
| School | Viterbi School of Engineering |
| Date defended/completed | 2009-02-22 |
| Date submitted | 2009 |
| Restricted until | Unrestricted |
| Date published | 2009-06-16 |
| Advisor (committee chair) | Heidemann, John |
| Advisor (committee member) |
Ye, Wei Krishnamachari, Bhaskar Neely, Michael |
| Abstract | An understanding of the key areas of difference in acoustic underwater sensor networks and their impact on network design is essential for a rapid deployment of aquatic sensornets. Such an understanding will allow system designers to harvest the vast literature of research present in RF sensornets and focus on just those key aspects that are different for acoustic sensornets. Most complexities at the physical layer will eventually be handled either by assuming short ranges or with technology advancements making complex algorithms both cost and power efficient. However, the impact of large latency and the resulting magnification of multipath will remain a great impediment for developing robust sensor networks. This thesis contributes towards an understanding of, and solutions to, the impact of latency on sensornet migration to an underwater acoustic environment.; The thesis of this dissertation is that Latency-awareness allows both migration of existing terrestrial sensornet protocols and design of new underwater protocols that can overcome and exploit the large propagation delay inherent to acoustic underwater networks. We present four studies that contribute to this thesis. First, we formalize the impact of large propagation delay on networking protocols in the concept of space-time uncertainty. Second, we use the understanding developed from this concept to design the first high-latency aware time synchronization protocol for acoustic sensor networks that is able to overcome an error source unique to the underwater environment. Third, we exploit the space-time volume during medium access to propose T-Lohi, a new class of energy and throughput efficient medium access control (MAC) protocols. Last, with our protocol implementations we are able to indicate the importance of a different type of multipath which we call self-multipath. This self-multipath adversely affects the throughput of T-Lohi MAC, and to overcome this affect we develop a novel Bayesian learning algorithm that can learn-and-ignore such multipath. |
| Keyword | underwater; acoustic; networks; sensor networks; latency-aware |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m2301 |
| Rights | Syed, Affan Ahmed |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Syed-2948 |
| Archival file | uscthesesreloadpub_Volume55/etd-Syed-2948.pdf |
Description
| Title | Page 1 |
| Full text | UNDERSTANDING AND EXPLOITING THE ACOUSTIC PROPAGATION DELAY IN UNDERWATER SENSOR NETWORKS by Affan Ahmed Syed A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) August 2009 Copyright 2009 Affan Ahmed Syed |
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