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: Mobile crowdsensing
  name:
    name part: Borcea, Cristian
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Talasila, Manoop
    role:
      role term: author.
  name:
    name part: Curtmola, Reza
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors' extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms.
  table of contents: 1. Introduction -- 2. Mobile sensing -- 3. Crowdsourcing -- 4. What is mobile crowdsensing? -- 5. Systems and platforms -- 6. General design principles and example of prototype -- 7. Incentive mechanisms for participants -- 8. Security issues and solutions -- 9. Privacy concerns and solutions -- 10. Conclusions and future directions.
  target audience: College Audience CRC Press LLC.
  target audience: adult
  note: Cristian Borcea, Manoop Talasila, and Reza Curtmola.
  note: Includes bibliographical references and index.
  subject:
    topic: Sensor networks
  subject:
    topic: Multisensor data fusion
  subject:
    topic: Data mining
  subject:
    topic: Mobile communication systems
  subject:
    topic: Data Mining
  subject:
    topic: Réseaux de capteurs
  subject:
    topic: Fusion multicapteurs
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Radiocommunications mobiles
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Technical & Manufacturing Industries & Trades
  subject:
    topic: Data mining
  subject:
    topic: Mobile communication systems
  subject:
    topic: Multisensor data fusion
  subject:
    topic: Sensor networks
  classification: TK7872.D48 B67 2017eb
  classification: 681.2 B726
  related item:
    title info:
      title: Mobile crowdsensing
    name:
      name part: Borcea, Cristian.
    origin info:
      publisher: Boca Raton : Taylor & Francis, CRC Press, [2017]
    identifier: (DLC) 2016032621
    identifier: (OCoLC)953738528
  identifier: 1498738451
  identifier: 9781498738453
  identifier: 9781315369419
  identifier: 1315369419
  identifier: 9781315333366
  identifier: 1315333368
  identifier: 9781498738446
  identifier: 1498738443
  identifier: KE33376 00004766
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: COO
    record creation date: 160803
    record change date: 20241108165617.6
    record identifier: in00005521734
    language of cataloging:
      language term: eng