Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Wang, Lei | - |
dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/6414 | - |
dc.language | English | en_US |
dc.publisher | Hong Kong Polytechnic University | - |
dc.rights | All rights reserved | en_US |
dc.title | An efficient MAC protocol for underwater acoustic sensor networks | en_US |
dcterms.abstract | Underwater Acoustic Sensor Networks (UW-ASNs) is made up of hundreds to thousands of underwater sensors, which communicate with each other via acoustic links. However, it is accordingly confronted with some problems like long propagation delays, high transmission power consumption, and limited available bandwidth and so on. This particular situation makes it possible, that multiple packets concurrently propagate in the underwater acoustic channel and it will improve the overall throughput of the network if we dispose in order. Based on this, we propose an Efficient Transmission Scheduling (ETS) algorithm, which makes the UW-Sensor nodes to increase the possibility of concurrent transmissions and reduce packet collisions happening according to the information of themselves. Simulations further validate that ETS outperforms existing solutions and has a better performance with the consideration of fairness. | en_US |
dcterms.extent | viii, 68 leaves : ill. ; 30 cm. | en_US |
dcterms.isPartOf | PolyU Electronic Theses | en_US |
dcterms.issued | 2011 | en_US |
dcterms.educationalLevel | All Master | en_US |
dcterms.educationalLevel | M.Sc. | en_US |
dcterms.LCSH | Underwater acoustic telemetry. | en_US |
dcterms.LCSH | Wireless sensor networks. | en_US |
dcterms.LCSH | Wireless communication systems. | en_US |
dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
dcterms.accessRights | restricted access | en_US |
Files in This Item:
File | Description | Size | Format | |
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b24735887.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.2 MB | Adobe PDF | View/Open |
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