SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks

SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks

Bibliographic Details
Main Author: SUBRAMANIAN, VINOD
Language:English
Published: University of Cincinnati / OhioLINK 2003
Subjects:
sensor networks
wireless networks
complex systems
adaptation
large scale networks
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037989018
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin10379890182021-08-03T06:09:02Z SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks SUBRAMANIAN, VINOD sensor networks wireless networks complex systems adaptation large scale networks Large-scale sensor networks (LSSN's) are formed when very large numbers of miniaturized sensor nodes with wireless communication capability are deployed randomly over an extended region, e.g., scattered from the air or embedded in material. Systems such as smart matter, smart paint and smart dust imply the existence of LSSN's, but they can also be used in applications involving large geographical regions such as environmental monitoring or disaster relief. Our contention is that, given their scale and random structure, LSSN's should be treated as complex systems rather than as standard wireless networks. Approaches from wireless networks typically have difficulty scaling up to large numbers of nodes, especially when the nodes have limited capabilities and are deployed over a region much larger than their communication range. We explore how a system comprising of very large number of randomly distributed sensor nodes can organize itself to communicate information. To keep the system realistic, we assume that nodes in our system are unreliable, have limited energy resources and have minimal on-board computational capabilities. Our focus is on the efficient routing of messages in such a system, specifically on the network algorithms aspect, rather than on issues such as hardware, signal processing and communication. The goal is to develop a system that scales effectively and is robust to node failures. The approach we propose is to limit the usage of bandwidth and energy while tapping the inherent parallelism of simple flooding to achieve robustness. Simulation results show significant improvement in performance compared to simple flooding algorithms. 2003-01-09 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037989018 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037989018 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic sensor networks
wireless networks
complex systems
adaptation
large scale networks
spellingShingle sensor networks
wireless networks
complex systems
adaptation
large scale networks
SUBRAMANIAN, VINOD
SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
author SUBRAMANIAN, VINOD
author_facet SUBRAMANIAN, VINOD
author_sort SUBRAMANIAN, VINOD
title SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
title_short SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
title_full SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
title_fullStr SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
title_full_unstemmed SOCRATES: Self-Organized Corridor Routing and Adaptive Transmission in Extended Sensor Networks
title_sort socrates: self-organized corridor routing and adaptive transmission in extended sensor networks
publisher University of Cincinnati / OhioLINK
publishDate 2003
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037989018
work_keys_str_mv AT subramanianvinod socratesselforganizedcorridorroutingandadaptivetransmissioninextendedsensornetworks
_version_ 1719431708929949696

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