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- W1584768763 abstract "The availability and quality of information extracted from Wireless Sensor Networks (WSNs) revolutionised a wide range of application areas. The success of any WSN application is, nonetheless, determined by the ability to retrieve information with the required level of accuracy, within specified time constraints, and with minimum resource utilisation. This paper presents a new approach to localised information extraction that utilises theWatershed segmentation algorithm to dynamically group nodes into segments, which can be used as programming abstractions upon which different query operations can be performed. Watershed results in a set of well delimited areas, such that the number of necessary operations (communication and computation) to answer a query are minimised. This paper presents a fully asynchronous Watershed implementation, where nodes can compute their local data in parallel and independently from one another. The preliminary experimental results demonstrate that the proposed approach is able to significantly reduce the query processing cost and time without involving any loss of efficiency." @default.
- W1584768763 created "2016-06-24" @default.
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- W1584768763 date "2011-01-01" @default.
- W1584768763 modified "2023-09-25" @default.
- W1584768763 title "Building Programming Abstractions for Wireless Sensor Networks Using Watershed Segmentation" @default.
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- W1584768763 doi "https://doi.org/10.1007/978-3-642-22875-9_53" @default.
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