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http://hdl.handle.net/11375/9286Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Todd, Terence D. | en_US |
| dc.contributor.author | Shariatmadari, Sayed-Ali | en_US |
| dc.date.accessioned | 2014-06-18T16:46:29Z | - |
| dc.date.available | 2014-06-18T16:46:29Z | - |
| dc.date.created | 2011-06-02 | en_US |
| dc.date.issued | 2010-08 | en_US |
| dc.identifier.other | opendissertations/4422 | en_US |
| dc.identifier.other | 5441 | en_US |
| dc.identifier.other | 2043063 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/9286 | - |
| dc.description | <p> <p>Sensor nodes are often used in outdoor locations where they can be operated using solar power. When such a network is deployed, there are usually restrictions in the way that the nodes can be positioned, and this results in a node-dependent attenuation of the usable solar energy. This effect must be taken into account when placing the basestations used to communicate with the sensor nodes. In this thesis we consider the minimum-cost placement of data collecting basestation nodes so that outage-free operation of the sensor nodes is obtained. This is done by minimizing the number of basestations required when taking into account the energy costs of sensor node traffic relaying. An optimization is first formulated which gives a lower bound on the number of basestations that are required. Because of the complexity of the problem, two algorithms are proposed which can be used to do placements for practical problem sizes. These algorithms use the result from an iterated local search as a starting point, and then use an energy aware local optimization to obtain feasible basestation placements. Results are presented which show that the algorithms perform well for a variety of network scenarios.</p> </p> | en_US |
| dc.description.abstract | en_US | |
| dc.subject | Electrical and Computer Engineering | en_US |
| dc.subject | Electrical and Computer Engineering | en_US |
| dc.title | Energy Aware Basestation Placement in Solar Powered Sensor Networks | en_US |
| dc.type | thesis | en_US |
| dc.contributor.department | Electrical and Computer Engineering | en_US |
| dc.description.degree | Master of Applied Science (MASc) | en_US |
| Appears in Collections: | Open Access Dissertations and Theses | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| fulltext.pdf | 2.25 MB | Adobe PDF | View/Open |
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