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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
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In a WSN users often submit a spatial range aggregation query to obtain statistical information of an area in the network such as the average temperature and the maximum humidity of an area in a forest Sensor nodes are battery powered having limited energy and in many cases their replacements of battery are difficult
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Abstract In network data aggregation has been recently proposed as an eective means to reduce the number of messages exchanged in wireless sensor networks Nodes of the network form an
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We now briefly describe the data aggregation process in sensor networks when 100% accuracy ignoring network delays or lost messages is desired in the querying node and when utilizing the TAG [2] model to synchronize the transmission of data values by the sensor nodes
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energy constraint imposed on such a network it is a great challenge to perform aggregate queries efficiently In this paper we consider the aggregate query evaluation problem in wireless sensor networks with an objective to prolong the network lifetime To do so we first introduce a node capability concept which balances the residual
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Supporting Aggregate Queries Over Ad Hoc Wireless Sensor Networks Samuel Madden UC Berkeley With Robert
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CiteSeerX Document Details Isaac Councill Lee Giles Pradeep Teregowda Abstract A wireless sensor network WSN has a wide range of important applications such as remote environment monitoring target tracking etc This has been enabled by the availability of sensors that are smaller cheaper and intelligent These sensor nodes are equipped with wireless interfaces with which they can
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Query processing architecture Sensor networks provide a surpris ingly challenging programming and computing environment the devices are small and crash prone and the operat ing system running on them provides no benefits such as fault isolation to help mitigate such failures Debugging is usu ally done via a few LEDs on the device
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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
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In wireless sensor networks node failures occur frequently The effects of these failures can be reduced by using aggregated values of small groups of sensors instead of the values of individual sensors However most existing works have focused on computing the aggrega tion of all the nodes without grouping Only a few approaches proposed the processing of grouped aggregate queries However
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and empirical sensor data collected from an operational Motes based sensor testbed Finally Section 6 concludes the paper 2 Related work Recent work on data management in sensor networks has focused primarily on techniques for either in network aggregation of sensor data or exploitation of the spatio temporal correlation among sensor data
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It is preferable to perform In Network Processing in side sensor network to reduce the transmission cost between neighboring nodes This concept is proposed by several sys tems such as TinyDB [16] and Cougar [19] Cougar project applies a database system concept to sensor networks It uses the declarative queries that are similar to SQL to query
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In summary we have showed how aggregate queries are and Hong W The design of an acquisitional efficiently executed over wireless sensor networks in a query processor for sensor networks In SIG distributed manner We have proved that our in network MOD 03 Proceedings of the 2024 ACM SIG distributed approach performed better in terms of
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In network data aggregation techniques [1 2] were proposed for resource constraint wireless sensor networks WSNs to minimise the number of messages forwarded by each sensor node in the network To achieve data aggregation task sensor nodes communicate their values to a node called the aggregating node AN or the cluster head CH Each AN then aggregates the data based on the aggregate
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However these aggregate query processing techniques have problems such as high energy consumption in sensor nodes low accuracy of query processing results and long query processing time In order to solve these problems and to enhance the efficiency of aggregate query processing in wireless sensor networks this paper proposes Bucket based Parallel Aggregation BPA
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KNN query processing problem which implements data dissemination and aggregation via query message forwarded to the robots located in a geographical proximity specified by a given query point and a sample size k Then the list of k nearest robots is obtained Specifically in this thesis KNN query processing problem in
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Fault Tolerance in Spatial Query Keywords Processing Data aggregation fault tolerance trustworthiness Wireless The core involvement of this paper is the intention of an energy multimedia sensor networks efficient fault tolerant mechanism for in network spatial query handling in WSN Query propagation avoids failed nodes by 1
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However these aggregate query processing techniques have problems such as high energy consumption in sensor nodes low accuracy of query processing results and long query processing time In order to solve these problems and to enhance the efficiency of aggregate query processing in wireless sensor networks this paper proposes Bucket based
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indicates that the energy consumption of a sensor node is mainly affected by radio transmission and reception Therefore this metric could re flect the most dominate part of energy consumption Moreover when there are multiple queries in a sensor network most network traf fic consists query results to the sink Thus this metric could be a reasonable metric to evaluate the performance of
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Sensor Networks A sensor network consists of a large number of sensor nodes [27] Individual sensor nodes or short nodes are connected to other nodes in their vicinity through a wireless network and they use a multihop routing protocol to communicate with nodes that are spatially distant Sensor nodes also have limited computation
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Processing approximate aggregate queries in wireless sensor networks
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The base station of the network sends queries to the child nodes and the sensor nodes that received the queries will collect the information following the request of the query The data acquired by sensor nodes will be transmitted to the base station with multihop transmission scheme Obviously the energy consumption of transmission will affect the life cycle of the sensor nodes dramatically
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anonymization and aggregate query processing over anonymized locations In the first module trusted wireless sensor nodes collaborate with each other to anonymize users exact locations by a cloaked spatial region that satisfies a prespecified privacy requirement On the other side the aggregate query processing module collects and analyzes the cloaked spatial regions reported from the
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Book Description Although wireless sensor networks WSNs have been employed across a wide range of applications there are very few books that emphasize the algorithm description performance analysis and applications of network management techniques in WSNs Filling this need Wireless Ad Hoc and Sensor Networks Management Performance
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the different possible scenarios of data processing for cen tralized and in network processing in a WSN The experi mental setup and results are discussed in Section 3 Sec tion 4 discusses the related work Finally the paper is concluded inSection5 2 Data processing alternatives in wireless sensor networks
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Data collection is a fundamental operation in wireless sensor networks WSN where sensor nodes measure attributes about a phenomenon of interest and transmit their readings to a common base station In this chapter we survey contention free Time Division Multiple Access TDMA based scheduling protocols for such data collection applications over tree based routing topologies We classify the
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Data Aggregation and Query Processing in WSN Ayoni Mukherjee Sanjit Setua Abstract A wireless sensor network WSN has a wide range of important applications such as remote environment monitoring target tracking etc This has been enabled by the availability of sensors that are smaller cheaper and intelligent These sensor nodes are
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Designing implementing and operating a wireless sensor network involves a wide range of disciplines and many application specific constraints To make sense of and take advantage of these systems a holistic approach is needed and this is precisely what Wireless Sensor Networks two eminent researchers review the diverse technologies and techniques that interact in today s
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aggregate query processing in peer to peer networks How to design the query involved network model and the corresponding query query processing problem in resource constrained wireless sensor networks with the tw Chat Online to support the processing of Top k aggregate queries over an unequal synopsis and gua query routing at the client peer in super peer networks This cached
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TinyCasper consists of two main modules in network location anonymization and aggregate query processing over anonymized locations In the first module trusted wireless sensor nodes collaborate with each other to anonymize users exact locations by a cloaked spatial region that satisfies a prespecified privacy require ment On the other
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