In recent years, the management and processing of data streams has become a topic of active research in several fields of computer science, such as distributed systems, database systems, and data mining. In data strea...
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ISBN:
(纸本)9781424455652
In recent years, the management and processing of data streams has become a topic of active research in several fields of computer science, such as distributed systems, database systems, and data mining. In data streams' applications, such as network monitoring, telecommunication systems and sensornetworks, because of online monitoring, answering to the user's queries should be time and space efficient. Generally, two main challenges are to design fast mining methods for data streams and the need to promptly detect changing concepts and data distribution because of highly dynamic nature of data streams. The goal of this article is to analyze and classify the application of diverse data mining techniques in different challenges of data stream mining. For this goal, this article tries to categorize and analyze related researches for better understanding and to reach a framework that can map data mining techniques to data stream mining challenges and requirements.
This paper presents a recursive computational multi-secret sharing technique that hides k - 2 secrets of size b each into n shares of a single secret S of size b, such that any k of the n shares suffice to recreate th...
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ISBN:
(纸本)9781424459896
This paper presents a recursive computational multi-secret sharing technique that hides k - 2 secrets of size b each into n shares of a single secret S of size b, such that any k of the n shares suffice to recreate the secret S as well as all the hidden secrets. This may act as a steganographic channel to transmit hidden information or used for authentication and verification of shares and the secret itself. Further, such a recursive technique may be used as a computational secret sharing technique that has potential applications in secure and reliable storage of information on the Web, in sensornetworks and information dispersal schemes. The presented technique, unlike previous computational techniques, does not require the use of any encryption key or storage of public information.
Wireless sensornetworks (WSN) raise the interest of multiple business domains. Their ability to monitor and control large physical environment made them very attractive for many application domains. Nevertheless, Wir...
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ISBN:
(纸本)9781424443093
Wireless sensornetworks (WSN) raise the interest of multiple business domains. Their ability to monitor and control large physical environment made them very attractive for many application domains. Nevertheless, Wireless sensornetworks encounter several technical obstacles, which may hinder their integration within business applications. Considering the fact that Wireless sensornetworks produce a large and diverse amount of data, business applications may have difficulties to select and process relevant information. We distinguish two approaches which address this issue: in-network processing and data processing within dedicated middleware. Whereas in-nerwork processing mainly aims at resource saving in Wireless sensornetworks, middlewares ease the definition and execution of Wireless sensor Network data processing for business applications. In this paper we propose to enhance the common middleware processing approach with the introduction of a contextual ontology. The purpose of this approach is two-fold:(i) to provide only information that match the business application interests, and (ii) to dynamically process Wireless sensor Network information in order to provide higher semantic level of information to business application.
In this paper, a pioneering platform is introduced, which utilizes all the advantages of CPLDs in order to enhance the processing power of the sensor nodes and, more importantly, significantly reduce the overall energ...
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ISBN:
(纸本)9781424459896
In this paper, a pioneering platform is introduced, which utilizes all the advantages of CPLDs in order to enhance the processing power of the sensor nodes and, more importantly, significantly reduce the overall energy consumption in heavy demanding tasks such as routing and header processing. This new platform, accelerates the Cost Estimation algorithm of the XMesh routing protocol by 606 times. At the same time, and more importantly, there is a reduction in the measured energy consumption by 97%. Moreover, the proposed system can accelerate by three orders of magnitude the header checksum calculation scheme, while it consumes 96,33% less energy than the corresponding standard software implementations. Since this is the first time ever that such a hardware-based scheme is used in a WSN environment, we strongly believe that this paper can be a first reference for a new design paradigm for WSN nodes which will include CPLDs for the actual data/network processing.
In wireless sensornetworks (WSNs), energy of the sensor nodes applied by battery is the important resource. Data aggregation and routing, eliminating data redundancy and reducing traffic to improve the energy efficie...
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This paper illustrates a kind of forest monitoring system solution of wireless sensornetworks based on ZigBee in order to improve the insufficiency of the existing monitoring ways and introduces wireless sensor netwo...
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ISBN:
(纸本)9781424464203
This paper illustrates a kind of forest monitoring system solution of wireless sensornetworks based on ZigBee in order to improve the insufficiency of the existing monitoring ways and introduces wireless sensornetworks technology. Through the comprehensive analysis of three respects of network topology, energy saving as well as being stable and reliable, this paper brings forward the hardware design of sensor network node and network protocols suitable for forest monitoring. The designed system can conduct effective monitoring of forest environment.
This paper proposes an effective reconfiguration algorithm to increase the network lifetime by fairly distributing clusterheads (CHs) in wireless sensornetworks. For a fair distribution of the CHs, the current CH cho...
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ISBN:
(纸本)9780769538594
This paper proposes an effective reconfiguration algorithm to increase the network lifetime by fairly distributing clusterheads (CHs) in wireless sensornetworks. For a fair distribution of the CHs, the current CH chooses the next CH according to the two metrics the number of general nodes (GNs) in a cluster and the number of CHs within the GN's transmission range. By fairly distributing the CHs, the number of GNs in the clusters can be balanced, which leads to fair energy consumption of the CHs. Simulation results show that the proposed algorithm increases the network lifetime.
This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensornetworks. An optimization problem is formulated, where the objective is to choose appropriate number of sampl...
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ISBN:
(纸本)9781424451807
This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensornetworks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information available to the fusion center and secondary users, practical system design is proposed in high fusion signal to noise ratio (SNR) regime, which has minimal implementation complexity and negligible performance loss, thus provides an efficient system design alternative in practice. Simulation results are presented to verify the analytical results.
This paper investigates the design choices and implementation schemes for information fusion among cluster heads in a large-scale hierarchical wireless sensor network. Two main issues addressed are: whether to choose ...
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ISBN:
(纸本)9781424451807
This paper investigates the design choices and implementation schemes for information fusion among cluster heads in a large-scale hierarchical wireless sensor network. Two main issues addressed are: whether to choose centralized processing with aid of a fusion center or decentralized collaboration among cluster heads, and for the latter choice, how to collaborate. Based on a sparse signal recovery problem arising from an environmental monitoring application, we propose a decentralized collaborative decision-making algorithm for cluster heads, and compare it with the centralized scheme. Our observation is: when the number of sensors within each cluster is quite large to induce a large amount of data, and the cluster heads are subject to multi-hop communications due to limited communication range, the collaborative algorithm is superior to the centralized one in terms of communication load and energy efficiency.
In this paper novel distributed universal compaction algorithm for support of multipoint to point or point to point transmission in opposite direction is presented. Most of the energy needed for executing the algorith...
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ISBN:
(纸本)9781424444731
In this paper novel distributed universal compaction algorithm for support of multipoint to point or point to point transmission in opposite direction is presented. Most of the energy needed for executing the algorithm is used in receiving (supportive) node, which is supposed to have plenty of energy for transmission. It generates appropriate (supportive) sequence, which is received by a supported node with limited energy resources. The supported node when it needs to transmit stored information towards the supportive node sends a short message (in extreme case only one pulse) in agreed time point after it discovers a string in the supportive sequence, which is identical to a prefix of the string of stored data, which waits for transmission towards the supportive node. Results of simplified simulation experiments are presented as well. They give proof of the concept for point to point communication. Possible application in Un-attended WSN in order to increase security (help to hide Wireless sensors) or in Wireless Passive sensor Network in order to increase WSN lifetime are viable.
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