Full metadata
Title
Distributed Consensus Algorithms for Wireless Sensor Networks
Description
A distributed wireless sensor network (WSN) is a network of a large number of lowcost,multi-functional sensors with power, bandwidth, and memory constraints, operating
in remote environments with sensing and communication capabilities. WSNs
are a source for a large amount of data and due to the inherent communication and
resource constraints, developing a distributed algorithms to perform statistical parameter
estimation and data analysis is necessary. In this work, consensus based
distributed algorithms are developed for distributed estimation and processing over
WSNs. Firstly, a distributed spectral clustering algorithm to group the sensors based
on the location attributes is developed. Next, a distributed max consensus algorithm
robust to additive noise in the network is designed. Furthermore, distributed spectral
radius estimation algorithms for analog, as well as, digital communication models
are developed. The proposed algorithms work for any connected graph topologies.
Theoretical bounds are derived and simulation results supporting the theory are also
presented.
Date Created
2021
Contributors
- Muniraju, Gowtham (Author)
- Tepedelenlioğlu, Cihan (Thesis advisor)
- Spanias, Andreas (Thesis advisor)
- Berisha, Visar (Committee member)
- Jayasuriya, Suren (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
118 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.161561
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: Ph.D., Arizona State University, 2021
Field of study: Electrical Engineering
System Created
- 2021-11-16 02:06:47
System Modified
- 2021-11-30 12:51:28
- 2 years 11 months ago
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