A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment Public Deposited

http://ir.library.oregonstate.edu/concern/articles/th83m326z

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  • The coexistence problem occurs when a single wireless body area network (WBAN) is located within a multiple-WBAN environment. This causes WBANs to suffer from severe channel interference that degrades the communication performance of each WBAN. Since a WBAN handles vital signs that affect human life, the detection or prediction of coexistence condition is needed to guarantee reliable communication for each sensor node of a WBAN. Therefore, this paper presents a learning-based algorithm to efficiently predict the coexistence condition in a multiple-WBAN environment. The proposed algorithm jointly applies PRR and SINR, which are commonly used in wireless communication as a way to measure the quality of wireless connections. Our extensive simulation study using Castalia 3.2 simulator based on the OMNet++ platform shows that the proposed algorithm provides more reliable and accurate prediction than existing methods for detecting the coexistence problem in a multiple-WBAN environment.
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  • Jin, Z., Han, Y., Cho, J., & Lee, B. (2015). A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment. International Journal of Distributed Sensor Networks, 2015, 386842. doi:10.1155/2015/386842
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  • description.provenance : Submitted by Erin Clark (erin.clark@oregonstate.edu) on 2015-05-20T23:09:22Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) LeeBenEECSPredictionAlgorithmCoexistence.pdf: 682406 bytes, checksum: 69da0bebb557d25177263917600b5acf (MD5)
  • description.provenance : Approved for entry into archive by Erin Clark(erin.clark@oregonstate.edu) on 2015-05-20T23:10:02Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) LeeBenEECSPredictionAlgorithmCoexistence.pdf: 682406 bytes, checksum: 69da0bebb557d25177263917600b5acf (MD5)
  • description.provenance : Made available in DSpace on 2015-05-20T23:10:02Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) LeeBenEECSPredictionAlgorithmCoexistence.pdf: 682406 bytes, checksum: 69da0bebb557d25177263917600b5acf (MD5) Previous issue date: 2015

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