rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Robust clock synchronization methods for wireless sensor networks
  name:
    name part: Lee, Jae Han.
    role:
      role term: creator
  name:
    name part: Serpedin, Erchin
    role:
      role term: thesis advisor.
  name:
    name part: Qaraqe, Khalid A.
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Wireless sensor networks (WSNs) have received huge attention during the recent years due to their applications in a large number of areas such as environmental monitoring, health and traffic monitoring, surveillance and tracking, and monitoring and control of factories and home appliances. Also, the rapid developments in the micro electro-mechanical systems (MEMS) technology and circuit design lead to a faster spread and adoption of WSNs. Wireless sensor networks consist of a number of nodes featured in general with energy-limited sensors capable of collecting, processing and transmitting information across short distances. Clock synchronization plays an important role in designing, implementing, and operating wireless sensor networks, and it is essential in ensuring a meaningful information processing order for the data collected by the nodes. Because the timing message exchanges between different nodes are affected by unknown possibly time-varying network delay distributions, the estimation of clock offset parameters represents a challenge. This dissertation presents several robust estimation approaches of the clock offset parameters necessary for time synchronization of WSNs via the two-way message exchange mechanism. In this dissertation the main emphasis will be put on building clock phase offset estimators robust with respect to the unknown network delay distributions. Under the assumption that the delay characteristics of the uplink and the downlink are asymmetric, the clock offset estimation method using the bootstrap bias correction approach is derived. Also, the clock offset estimator using the robust Mestimation technique is presented assuming that one underlying delay distribution is mixed with another delay distribution. Next, although computationally complex, several novel, efficient, and robust estimators of clock offset based on the particle filtering technique are proposed to cope with the Gaussian or non-Gaussian delay characteristics of the underl…
  note: by Jae Han Lee.
  note: "Major Subject: Electrical Engineering"
  note: Title from author supplied metadata (automated record created 2011-11-01 09:04:20).
  note: Electronic resource.
  note: Doctor of Philosophy Texas A&M University 2010 http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8318
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major electrical engineering
  subject:
    topic: GMKPF
  subject:
    topic: Wireless Sensor Networks
  subject:
    topic: M-estimation
  subject:
    topic: Clock Synchronization
  subject:
    topic: Bootstrap
  subject:
    topic: IGMKPF
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8318
  record info:
    record content source: TXA
    record creation date: 111107
    record change date: 20151202144020.0
    record identifier: in00002729263