dc.contributor.advisor | Körpeoğlu, İbrahim | |
dc.contributor.author | Aslan, Yunus Emre | |
dc.date.accessioned | 2016-01-08T18:14:14Z | |
dc.date.available | 2016-01-08T18:14:14Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://hdl.handle.net/11693/15150 | |
dc.description | Ankara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2010. | en_US |
dc.description | Thesis (Master's) -- Bilkent University, 2010. | en_US |
dc.description | Includes bibliographical references leaves 70-72. | en_US |
dc.description.abstract | Wireless sensor networks have a broad range of applications in the category of
environmental monitoring. In this thesis, we consider the problem of forest re
detection and monitoring as a possible application area of wireless sensor networks.
Forest res are one of the main causes of environmental degradation
nowadays. The current surveillance systems for forest res lack in supporting
real-time monitoring of every point of the region at all time and early detection
of the re threats. Solutions using wireless sensor networks, on the other hand,
can gather temperature and humidity values from all points of eld continuously,
day and night, and, provide fresh and accurate data to the re ghter center
quickly. However, sensor networks and nodes face serious obstacles like limited
energy resources and high vulnerability to harsh environmental conditions, that
have to be considered carefully.
In our study, we propose a comprehensive framework for the use of wireless
sensor networks for forest re detection and monitoring. Our framework includes
proposals for the wireless sensor network architecture, clustering and communication
protocols, and environment/season-aware activity-rate selection schemes
to detect the re threat as early as possible and yet consider the energy consumption
of the sensor nodes and the physical conditions that may hinder the activity
of the network. We also implemented a simulator to validate and evaluate our
proposed framework, which is using an external re simulator library. We did
extensive simulation experiments and observed that our framework can provide
fast reaction to forest res while also consuming energy e ciently. | en_US |
dc.description.statementofresponsibility | Aslan, Yunus Emre | en_US |
dc.format.extent | xiv, 72 leaves, illustrations | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Wireless sensor networks | en_US |
dc.subject | Forest re detection | en_US |
dc.subject | Re forecast | en_US |
dc.subject.lcc | TK7872.D48 A75 2010 | en_US |
dc.subject.lcsh | Wireless sensor networks. | en_US |
dc.subject.lcsh | Sensor networks. | en_US |
dc.subject.lcsh | Forest fires--Detection. | en_US |
dc.subject.lcsh | Forest fire forecasting. | en_US |
dc.title | A framework for the use of wireless sensor networks in forest fire detection and monitoring | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | M.S. | en_US |
dc.identifier.itemid | B122809 | |