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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

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Joint Source Channel Network Coding Using QC LDPC codes 3

Joint Source Channel Network Coding Using QC LDPC codes

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3rd international Conference on Communications and Signal processing (ICCSP)

作者： Jesy, P. Deepthi, P. P. Natl Inst Technol Calicut 673601 Kerala India

ISBN: (纸本)9781479933587

Motivated to develop a scheme that compresses, gives high throughput and adds robustness against channel noise, a new joint source channel network coding (JSCNC) using Quasi Cyclic Low Density Parity Check (QCLDPC) code is proposed for a sensor network with two source nodes communicating correlated information to multiple destination nodes. The source coding is performed by transmitting only half of the information bits of QCLDPC code and transmitting the parity bits as such, since the parity bits are usually uncorrelated compared to the corresponding information bits. The correlations in sensor network data are used effectively at the relay node to reconstruct the original information bits transmitted by the source nodes. Relay scheme used in our proposed work is a decode and forward relaying in which masking of information bits are done before network coding at the relay. This helps in low-error decoding at the destination.

关键词： Distributed source coding joint network channel coding joint source channel coding network coding wireless sensor networks

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An intelligent defense mechanism for security in wireless sensor networks 3

An intelligent defense mechanism for security in wireless se...

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3rd international Conference on Communication and Signal processing, ICCSP 2014

作者： Sandeep Kumar, E. Kusuma, S.M. Vijaya Kumar, B.P. Dept. of Telecommunication Engineering M.S Ramaiah Institute of Technology Bangalore Karnataka560 054 India Dept. of Information Science and Engineering M.S Ramaiah Institute of Technology Kamataka Bangalore560 054 India

ISBN: (纸本)9781479933587

Wireless sensor networks are associated with risk due to the threats of security vulnerabilities. In this context, we have proposed an Intruder Detection System (IDS) that uses sophisticated data fusion technique, which incorporates game theoretic modeling for the interaction between an attacker node and a victim sensor node, with neural networks as a decision making tool and a timer as an attack monitor. The combined effect of all these aspects of IDS makes a robust combat against the packets attempting to hack the critical information residing in the node. To our knowledge, this is a novel work, which combines game theory and artificial neural networks for defending against intruder attack. The obtained simulation results prove to be convincing with respect to the defense mechanism and its security concern. © 2014 IEEE.

关键词： Game theory

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Efficient Pipeline Architectures for Underwater Big Data Analytic

Efficient Pipeline Architectures for Underwater Big Data Ana...

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IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： Alharbi, Ayman Ammar, Reda Alhumyani, Hesham Rajasekaran, Sanguthevar Jun-Hong Univ Connecticut Storrs CT 06269 USA

ISBN: (纸本)9781479918119

Big data are found in numerous underwater applications, such as Seismic Monitoring, Detection and tracking of marine objects applications, underwater multimedia systems, 3D maps of underwater sites, and many other applications. Such information is large in size and often generated continuously at fast rate. Current techniques used to collect data from underwater nodes relay on different approaches such as fixed wired link, AUV systems which usually incorporate RF waves, and wireless sensors networks. The first method is impractical in deep underwater sites while the second one suffers from high energy cost and short ranges. Underwater wireless sensors mitigate these previous limitations due to its cheap cost, limited power consumption and long distance coverage. Therefore as a technology, it has become a promising way to extract and collect underwater data. Nonetheless, underwater sensor networks suffer from low communication bandwidth and long propagation delay. Such factors limit the amount of transmitted data and reduce the efficiency for better bandwidth utilization. Therefore, it becomes crucial to develop systems that able to gather and process large underwater data sizes before or during the transmission stages (in-network processing). In this work, we develop a set of efficient pipeline architectures for Underwater Big data analytics. These architectures use pipelining to speed up data processing and transmission. The advantages of each architecture are highlighted as well as the operation of each one.

关键词： Underwater big data ARCHITECTURE Energy costs radio waves Wireless sensor networks Pipeline processing

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P³: A Practical Packet Pipeline Using Synchronous Transmissions for Wireless sensor networks

P<SUP>3</SUP>: A Practical Packet Pipeline Using Synchronous...

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13th IEEE/ACM international symposium on information processing in sensor networks (IPSN)

作者： Doddavenkatappa, Manjunath Chan, Mun Choon Natl Univ Singapore Sch Comp Singapore 117548 Singapore

ISBN: (纸本)9781479931460

While high throughput is the key for a number of important applications of sensor networks, performance of the state-of-the-art approach is often poor in practice. This is because if even one of the channels used in its pipeline is bad, the pipeline stalls and throughput degrades significantly. In this paper, we propose a new protocol called P-3 (Practical Packet Pipeline) that keeps its packet pipeline flowing despite the quality differences among channels. P-3 exploits sender and receiver diversities through synchronous transmissions (constructive interference), involving concurrent transmissions from multiple senders to multiple receivers at every stage of its packet pipeline. To optimize throughput further, P-3 uses node grouping to enable the source to transmit in every pipeline cycle, thus fully utilizing the transmission capacity of an underlying radio. Our evaluation results on a 139-node testbed show that P-3 achieves an average goodput of 178.5 Kbps while goodput of the state-of-the-art high throughput protocol PIP (Packets In Pipeline) is only 31 Kbps. More interestingly, P-3 achieves a minimum goodput of about 149 Kbps, while PIP's goodput reduces to zero in 65% of the cases.

关键词： Pipelines

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Detection of jammer in Wireless sensor Network 3

Detection of jammer in Wireless Sensor Network

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3rd international Conference on Communication and Signal processing, ICCSP 2014

作者： Thangapoo Nancy, J. Vijayakumar, K.P. Ganesh Kumar, P. Department of Information Technology P.S.N.A. College of Engineering and Technology Dindigul Tamil India

ISBN: (纸本)9781479933587

Wireless sensor networks are easily attacked by jammers. Hence it is important to secure these networks from internal nodes that has a chance to become an adversary. In this paper, a novel approach is proposed for detection of node's maliciousness level for securing WSN's from jamming attacks in cluster-based sensor network. The proposed system works to detect the maliciousness level using two modules. Firstly, it protects the network from those internal nodes that are already announced as jammers. Secondly, it detects those nodes that are being becoming an adversary. The result of the simulation demonstrates that the proposed approach detects the maliciousness level enormously well and achieves high jammer detection rate and low false detection rate. © 2014 IEEE.

关键词： sensor nodes

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Kernel completion for learning consensus support vector machines in bandwidth-limited sensor networks

Kernel completion for learning consensus support vector mach...

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3rd international Conference on Pattern Recognition Applications and Methods, ICPRAM 2014

作者： Lee, Sangkyun Pölitz, Christian Fakultät für Informatik LS VIII Technische Universität Dortmund 44221 Dortmund Germany

ISBN: (纸本)9789897580185

Recent developments in sensor technology allows for capturing dynamic patterns in vehicle movements, temperature changes, and sea-level fluctuations, just to name a few. A usual way for decision making on sensor networks, such as detecting exceptional surface level changes across the Pacific ocean, involves collecting measurement data from all sensors to build a predictor in a central processing station. However, data collection becomes challenging when communication bandwidth is limited, due to communication distance or low-energy requirements. Also, such settings will introduce unfavorable latency for making predictions on unseen events. In this paper, we propose an alternative strategy for such scenarios, aiming to build a consensus support vector machine (SVM) in each sensor station by exchanging a small amount of sampled information from local kernel matrices amongst peers. Our method is based on decomposing a "global" kernel defined with all features into "local" kernels defined only with attributes stored in each sensor station, sampling few entries of the decomposed kernel matrices that belong to other stations, and filling in unsampled entries in kernel matrices by matrix completion. Experiments on benchmark data sets illustrate that a consensus SVM can be built in each station using limited communication, which is competent in prediction performance to an SVM built with accessing all features. Copyright © 2014 SCITEPRESS.

关键词： Support vector machines

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Aloha-based MAC for underwater sensor networks

Aloha-based MAC for underwater sensor networks

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2013 3rd international Conference on Advanced Materials and information Technology processing, AMITP 2013

作者： Zhang, Yanping Zhao, Lei Department of Computer Science Gonzaga University United States

ISBN: (纸本)9781845648534

Underwater Acoustic sensor networks (UASNs) are deployed to monitor a specific underwater area based on acoustic waves. Based on the severe underwater environment, most solutions for traditional network cannot be directly applied. As a continuous work of our previous study, we present the performance of multihop p-persistent Aloha and slotted Aloha protocols in a more complex underwater network. The analysis presented in this paper can be used to provide guidance for configuring multihop UASNs. © 2014 WIT Press.

关键词： Medium access control

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CHATSEP: Critical Heterogeneous Adaptive Threshold Sensitive Election Protocol for Wireless sensor networks 3

CHATSEP: Critical Heterogeneous Adaptive Threshold Sensitive...

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3rd international Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Yadav, R. K. Jain, Arpan Delhi Technol Univ Dept Comp Engn Delhi India

ISBN: (纸本)9781479930807

Networking together of hundreds to thousands of limited energy battery powered nodes derive a Wireless sensor Network (WSN). The use and applicability of WSNs has increased in vivid areas like vehicular movement, weather monitoring, security and surveillance, industry applications etc. The limited powered nodes in WSNs sense the environment and send the desired information to a processing centre (base station) either directly or via a mechanism for optimization. In this paper we propose CHATSEP, a clustering protocol for reactive networks with threshold sensitive heterogeneous sensor nodes. It includes an adaptive characteristic which helps the base station to be aware of the status of the nodes in situations when the nodes are idle from a long time and hence helping the base station to analyze the information network dynamically and efficiently. It also incorporates Critical Threshold which is any information of utmost importance in the network, and when such information is sensed it has to be sent to base station with highest priority. Our proposed protocol with adaptive nature and criticality of information is observed to perform better than the conventional clustering protocols like LEACH, SEP and TSEP in terms of stability period, network lifetime and throughput for a temperature sensing application.

关键词： Network lifetime Critical Threshold Stability Heterogeneity Adaptive meter

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Dependable Control Systems with Self-Recovery Constraint 3

Dependable Control Systems with Self-Recovery Constraint

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3rd international Conference on Control, Automation and information Sciences (ICCAIS)

作者： Tri Tran Ha, Q. P. Nanyang Technol Univ Cambridge Ctr Adv Res Energy Efficiency Singapore Yunnan Garden Campus Singapore Singapore Univ Technol Sydney Fac Elect Mech & Mechtron Syst Sydney NSW Australia

ISBN: (纸本)9781479972043

A novel constrained-state feedback control design method for duty-standby controllers of a dependable control system is presented in this paper. The dependable control system is a replacement for the classical reliable control system which has been developed for wired and analog systems. As an alternative to the control summation in reliable control systems, only one controller is active at any one time in a dependable control system. This will make it compatible with the duty-standby architecture of dependable computer systems that run the control algorithm. The automated managing of duty-standby controllers is challenging, especially in wireless sensor and actuator networks, owing to the scarcity of both information and processing resources. The solutions proposed in this paper are effective and feasible, as taking into account both state-and control-incremental constraints, and simply involving a static state-feedback strategy to minimize the computational demand in implementations. The state feedback gains are synthesized to fulfill the strict requirement on the two incremental constraints. As a result of that, the duty-standby controllers will be able to operate independently, while assuring the closed-loop system stability with a newly introduced self-recovery constraint. For a dependable control system, the employed self-recovery constraint is a quadratic constraint with respect to the control and state increments.

关键词： closed loop systems control system synthesis distributed control stability state feedback analog system closed-loop system stability constrained-state feedback control design control algorithm control-incremental constraint dependable control system duty-standby controller duty-standby controller management information resource processing resource quadratic constraint self-recovery constraint state feedback gain state-incremental constraint static state-feedback strategy wired system wireless sensor and actuator networks Computer architecture Computer network reliability Control systems Program processors Reliability Vectors Wireless sensor networks

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processing KNN Queries in Grid-based sensor networks

Processing <i>K</i>NN Queries in Grid-based Sensor Networks

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international symposium on Computer, Consumer and Control (IS3C)

作者： Huang, Yuan-Ko Su, Chun-Hsing Kao Yuan Univ Dept Informat Commun Kaohsiung Taiwan Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan 701 Taiwan

ISBN: (纸本)9781479952779

Recently, developing efficient processing techniques in spatio-temporal databases is very hot topic. Many applications, such as mobile information systems, traffic control system, and geographical information systems, can benefit from efficient processing of spatio-temporal queries. In this paper, we focus on processing an important type of spatio-temporal queries, the K-nearest neighbour (KNN) queries. Different from the previous research, the locations of objects are located by the sensors which are deployed in a grid-based manner. As the positioning technique used is not the GPS technique, but is the sensor network technique, this results in a greater uncertainty on object location. With the uncertain location information of objects, we try to design efficient algorithm to process the KNN queries.

关键词： spatio-temporal databases spatio-temporal queries K-nearest neighbour queries sensor network uncertainty

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