Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jin Hee | - |
dc.contributor.author | Shin, Byeong Seok | - |
dc.date.accessioned | 2018-02-05T04:12:00Z | - |
dc.date.available | 2018-02-05T04:12:00Z | - |
dc.date.created | 2018-01-18 | - |
dc.date.issued | 2017-12 | - |
dc.identifier.issn | 2192-1962 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/5622 | - |
dc.description.abstract | In order to estimate the location of the user, the previous studies introduced many sensor deployment methods applying the sensor network. The important issues to consider when placing the sensors are a configuration cost and detection area of a sensor network. In other words, the sensors consisting the network should be optimally deployed by taking into account the coverage and connectivity of them. In this paper, a sensor signal is modeled as the Gaussian distribution based signal points group, and signal points in overlapping region between two different sensors are classified by e-SVM (support vector machine) method as each sensor group. In addition, a trilateration technique is used for estimating the position of a moving object. At this time, we efficiently deploy the sensors with f-Apriori method to maintain the connectivity between the sensors as well as to apply the trilateration. The proposed method can be utilized for optimal placement of sensors if we know a detection range of one sensor. In this paper, we introduce more effective and adaptive deployment method to consist the sensor network as taking into account the cost and the situation. © The Author(s) 2017 | - |
dc.language | English | - |
dc.publisher | Springer Science + Business Media | - |
dc.title | SensDeploy: efficient sensor deployment strategy for real-time localization | - |
dc.type | Article | - |
dc.identifier.doi | 10.1186/s13673-017-0117-2 | - |
dc.identifier.scopusid | 2-s2.0-85042862239 | - |
dc.identifier.bibliographicCitation | Human-centric Computing and Information Sciences, v.7, no.1 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | Sensor network | - |
dc.subject.keywordAuthor | Sensor deployment | - |
dc.subject.keywordAuthor | Localization | - |
dc.subject.keywordAuthor | Machine learning | - |
dc.subject.keywordPlus | NETWORKS | - |
dc.subject.keywordPlus | COVERAGE | - |
dc.citation.number | 1 | - |
dc.citation.title | Human-centric Computing and Information Sciences | - |
dc.citation.volume | 7 | - |