000 | 03567nam a22005175i 4500 | ||
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001 | vtls000483656 | ||
003 | RU-ToGU | ||
005 | 20210922065630.0 | ||
007 | cr nn 008mamaa | ||
008 | 140715s2013 xxu| s |||| 0|eng d | ||
020 |
_a9781461449270 _9978-1-4614-4927-0 |
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024 | 7 |
_a10.1007/978-1-4614-4927-0 _2doi |
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035 | _ato000483656 | ||
040 |
_aSpringer _cSpringer _dRU-ToGU |
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050 | 4 | _aT385 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.P3 | |
072 | 7 |
_aUYQV _2bicssc |
|
072 | 7 |
_aCOM016000 _2bisacsh |
|
082 | 0 | 4 |
_a006.6 _223 |
100 | 1 |
_aBestehorn, Markus. _eauthor. _9413666 |
|
245 | 1 | 0 |
_aQuerying Moving Objects Detected by Sensor Networks _helectronic resource _cby Markus Bestehorn. |
260 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013. |
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300 |
_aXII, 71 p. 29 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
505 | 0 | _aIntroduction -- Applications for MOSD -- Background -- Generic Model of a Sensor Network -- Point Set Topology for Sensor Networks -- Deriving Predicate Results -- Spatio-Temporal Developments -- Spatio-Temporal Query Processing in SN -- Evaluation. | |
520 | _aDeclarative query interfaces to Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While rational approaches are well suited for data collection, research on Moving Object Databases (MOD) has shown that relational operators are unsuitable to express information needs on object movement, i.e., spatio-temporal queries. Querying Moving Objects Detected by Sensor Networks studies declarative access to SN that track moving objects. The properties of SN present a straightforward application of MOD, e.g., node failures, limited detection ranges and accuracy which vary over time etc. Furthermore, point sets used to model MOD-entities like regions assume the availability of very accurate knowledge regarding the spatial extend of these entities, assuming such knowledge is unrealistic for most SN. This book is the first that defines a complete set of spatio-temporal operators for SN while taking into account their properties. Based on these operators, we systematically investigate how to derive query results from object detections by SN. Finally, process spatio-temporal queries are shown in SN efficiently, i.e., reducing the communication between nodes. The evaluation shows that the measures reduce communication by 45%-89%. | ||
650 | 0 |
_aComputer Science. _9155490 |
|
650 | 0 |
_aArtificial intelligence. _9274099 |
|
650 | 0 |
_aComputer vision. _9274100 |
|
650 | 0 |
_aTelecommunication. _9566274 |
|
650 | 1 | 4 |
_aComputer Science. _9155490 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _9274101 |
650 | 2 | 4 |
_aArtificial Intelligence (incl. Robotics). _9274102 |
650 | 2 | 4 |
_aCommunications Engineering, Networks. _9566275 |
710 | 2 |
_aSpringerLink (Online service) _9143950 |
|
773 | 0 | _tSpringer eBooks | |
830 | 0 |
_aSpringerBriefs in Computer Science, _9412137 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4614-4927-0 |
912 | _aZDB-2-SCS | ||
999 | _c356277 |