Record Details
A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment
ScholarsArchive at Oregon State University
| Field | Value |
|---|---|
| Title | A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment |
| Names |
Jin, Zilong
(creator) Han, Yoonjeong (creator) Cho, Jinsung (creator) Lee, Ben (creator) |
| Date Issued | 2015 (iso8601) |
| Note | This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by the Hindawi Publishing Corporation. The published article can be found at: http://www.hindawi.com/journals/ijdsn/. |
| Abstract | 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. |
| Genre | Article |
| Access Condition | http://creativecommons.org/licenses/by/3.0/us/ |
| Identifier | 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 |
