网页2004年3月3日Query processing in sensor networks Abstract: Smart sensors are small wireless computing devices that sense information such as light and humidity at extremely high resolutions. A smart sensor query-processing architecture using database
Contact网页Recently as efficient processing of aggregate queries for fetching desired data from sensors has been recognized as a crucial part, in-network aggregate query processing techniques are studied inte Aggregate
Contact网页2002年9月1日One such example is a sensor network consisting of a large number of sensor nodes that combine physical sensing capabilities such as temperature, light, or
Contact网页2011年2月1日In-network Aggregation is utilized in the distributed system where part of the computation is pushed inside the sensor network and this significantly extend the
Contact网页2004年3月3日Query processing in sensor networks. Abstract: Smart sensors are small wireless computing devices that sense information such as light and humidity at
Contact网页2011年1月28日By way of example while simple queries, such as select and aggregate queries, in sensor networks have been addressed in the literature, the processing of
Contact网页1 Introduction Wireless sensor networks have been widely used in manyenvironmental monitoring applications [1]. In most of theseapplications, aggregate queries, such as
Contact网页2015年3月10日In addition, when the sensing areas of sensor nodes are disjoint, the coordinator of each sensor becomes itself and we perform traditional aggregate
Contact网页Figure 1. Architecture of a sensornetwork query processor. Numbers indicate the sequence of steps involved in processing a query. Our query-processing-based approachcan
Contact网页Abstract. Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring for plant growth and abnormal event detection of industrial
Contact网页2004年3月3日A smart sensor query-processing architecture using database technology can facilitate deployment of sensor networks. Smart-sensor technology enables a broad range of ubiquitous computing applications. Their low cost, small size, and untethered nature lets them sense information at previously unobtainable resolutions. We discuss about
Contact网页2002年9月1日Given a user query, a query optimizer generates an efficient query plan for in-network query processing, which can vastly reduce resource usage and thus extend the lifetime of a sensor network.
Contact网页2015年3月10日Introduction A wireless sensor network (WSN) consists of spatially distributed autonomous devices with various sensors, and a powered base station which serves as an access point for users to pose ad hoc queries.
Contact网页2015年3月10日In WSNs with such sensors, an object may be detected by several sensor nodes and processing of aggregate queries (such as COUNT, SUM and AVERAGE) becomes problematic since an identical object can be considered redundantly.
Contact网页1 Introduction Wireless sensor networks have been widely used in manyenvironmental monitoring applications [1]. In most of theseapplications, aggregate queries, such as SUM, COUNT,AVERAGE (AVG), MIN and MAX, are often used
Contact网页2008年4月1日Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these applications, aggregate queries, such as SUM, COUNT, AVERAGE, MIN and MAX are often used to collect statistical data.
Contact网页query processing that emphasize moving queries to data. In contrast, we present acquisitional query processing (ACQP), where we focus on the significant new query processing opportunity that arises in sensor networks: the fact that smart sensors have control over where, when, and how often data is physically acquired (i.e. sampled) and de-
Contact网页Wireless sensor networks have been widely used in many environmental monitoring applications [].In most of these applications, aggregate queries, such as SUM, COUNT, AVERAGE (AVG), MIN and MAX, are often used as statistics collected from sensors [12, 13, 22].However, it is known that data collected from sensors are often noisy for various
Contact网页2008年8月12日Wireless sensor networks are used in a large array of applications to capture, collect, and analyze physical environmental data. Many existing sensor systems instruct sensor nodes to report their measurements to central repositories outside the network, which is expensive in energy cost. Recent technological advances in flash
Contact网页2003年1月1日The value of aggregate function for disjoint subsets can be calculated by factorable functions and Two other systems, COUGAR [8] and TinyDB [9] deal with query processing in sensor networks.
Contact网页2004年3月3日A smart sensor query-processing architecture using database technology can facilitate deployment of sensor networks. Smart-sensor technology enables a broad range of ubiquitous computing applications. Their low cost, small size, and untethered nature lets them sense information at previously unobtainable resolutions. We discuss about
Contact网页2002年9月1日Given a user query, a query optimizer generates an efficient query plan for in-network query processing, which can vastly reduce resource usage and thus extend the lifetime of a sensor network.
Contact网页2015年3月10日In WSNs with such sensors, an object may be detected by several sensor nodes and processing of aggregate queries (such as COUNT, SUM and AVERAGE) becomes problematic since an identical object can be considered redundantly.
Contact网页Depending on different objectives and model, similar cost models can be derived. Centralized Optimization. Most of the existing work on optimizing sensor network queries are based on a centralized optimizer, i.e., the optimizer at the base station determines the query plan [3,10].There are two dimensions in which query processing can be optimized.
Contact网页2013年10月22日Many deal with techniques for efficient processing of aggregate queries [1–3]. Other proposals deal with energy-efficient methods to reduce energy consumption during query processing [4–6]. The general strategies for join query processing in sensor networks can be classified depending on the location of the join region in the sensor
Contact网页query processing that emphasize moving queries to data. In contrast, we present acquisitional query processing (ACQP), where we focus on the significant new query processing opportunity that arises in sensor networks: the fact that smart sensors have control over where, when, and how often data is physically acquired (i.e. sampled) and de-
Contact网页1.1 Query answering in sensor networks Sensor networks answer queries by finding the nodes which collect the relevant information and by combining their observations. This requires that data has to be propagated to the node, which will produce the answer. A sensor network is a pervasive computing environment, which has to manage its resources.
Contact网页Wireless sensor networks have been widely used in many environmental monitoring applications [].In most of these applications, aggregate queries, such as SUM, COUNT, AVERAGE (AVG), MIN and MAX, are often used as statistics collected from sensors [12, 13, 22].However, it is known that data collected from sensors are often noisy for various
Contact网页2008年8月12日Abstract Wireless sensor networks are used in a large array of applications to capture, collect, and analyze physical environmental data. Many existing sensor systems instruct sensor nodes to report their measurements to central repositories outside the network, which is expensive in energy cost.
Contact网页2003年1月1日Query Processing Query Processing in Sensor Networks. Authors: Yong Yao Johannes Gehrke Request full-text No full-text available Request full-text PDF Citations (704) For instance,...
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