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2010 IEEE International Conference on Communications

作者： Kundargi, Nikhil Tewfik, Ahmed Univ Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)9781424464043

We study the distributed sequential energy detection problem in the context of spectrum sensing for cognitive radio networks. We formulate a novel Doubly Sequential Energy Detector (DSED) and provide a comprehensive study of its performance. Specifically, we present the first method that sequentially combines the decisions of the Cognitive Radio nodes wherein each node is running an independent Sequential Energy Detector (SED). Through extensive simulations it is demonstrated that (i) our novel sequential version of the energy detector delivers a significant throughput improvement of 2 to 6 times over the fixed sample size test while maintaining equivalent operating characteristics as measured by the Probabilities of detection (P-D) and False Alarm (P-FA), and (ii) the Doubly Sequential Procedure at the Base Station further boosts the SED performance while improving the robustness for shadowed Cognitive Radio nodes. For example, for a P-D > 0.95, our simulations demonstrate that the DSED has a P-FA < 0.20 while utilizing upto 8 times fewer samples than the equivalent energy detector upto a Signal to Noise Ratio of -10 dB, below which its performance gracefully degrades.

关键词： Cognitive Radio Spectrum Sensing Sequential detection distributed detection

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distributed SPECTRUM SENSING WITH MULTIANTENNA SENSORS UNDER CALIBRATION ERRORS

DISTRIBUTED SPECTRUM SENSING WITH MULTIANTENNA SENSORS UNDER...

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12th IEEE International Workshop on Signal Processing Advances in Wireless Communications

作者： Romero, Daniel Lopez-Valcarce, Roberto Univ Vigo Dept Signal Theory & Commun Vigo 36310 Spain

ISBN: (纸本)9781424493326

Spectrum sensing design for Cognitive Radio systems is challenged by the nature of the wireless medium, which makes the detection requirements difficult to achieve by standalone sensors. To combat shadowing and fading, distributed strategies are usually proposed. However, most distributed approaches are based on the energy detector, which is not robust to noise uncertainty. This phenomenon can be overcome by multiantenna sensors exploiting spatial independence of the noise process. We combine both ideas to develop distributed detectors for multiantenna sensors. Fusion rules are provided for sensors based on the Generalized Likelihood Ratio as well as for ad hoc detectors derived from geometric considerations. Simulation results are provided comparing the performance of the different strategies under lognormal shadowing and Ricean fading.

关键词： Cognitive radio spectrum sensing distributed detection fading channels

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FURTHER RESULTS ON DECISION FUSION IN CENSORING SENSOR NETWORKS: AN UNKNOWN NETWORK SIZE

FURTHER RESULTS ON DECISION FUSION IN CENSORING SENSOR NETWO...

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12th IEEE International Workshop on Signal Processing Advances in Wireless Communications

作者： Wang, Tsang-Yi Wu, Jwo-Yuh Natl Sun Yat Sen Univ Inst Commun Engn Taipei Taiwan Natl Chiao Tung Univ Dept Elect Engn Tainan Taiwan

ISBN: (纸本)9781424493326

Energy consumption is a vital concern when implementing distributed decision fusion in most wireless sensor networks. This paper studies the impact of sensor censoring on the decision fusion performance when the number of sensors is unknown at the fusion center. The global decision rule adopted at the fusion center is the Chair-Varshney fusion rule modified to take account of the unknown network size. It is shown that under the assumption of equally likely hypotheses, allowing more transmitting sensors does not necessarily yield better decision fusion;rather, there exists a censoring probability threshold below which the increase in the number of active sensors just incurs more intra-network communication overhead but will not improve the global decision performance. Our findings establish that the design of energy-efficient local detection rules should commence with the censoring rate threshold.

关键词： Sensor networks decision fusion distributed detection energy efficiency sensor censoring

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Improved coverage in WSNs by exploiting spatial correlation: the two sensor case

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EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2011年第1期2011卷 1页

作者： Michaelides, Michalis Panayiotou, Christos G. Univ Cyprus KIOS Res Ctr Intelligent Syst & Networks Nicosia Cyprus Univ Cyprus Dept Elect & Comp Engn Nicosia Cyprus

One of the main applications of Wireless Sensor Networks (WSNs) is area monitoring. In such problems, it is desirable to maximize the area coverage. The main objective of this work is to investigate collaborative detection schemes at the local sensor level for increasing the area coverage of each sensor and thus increasing the coverage of the entire network. In this article, we focus on pairs of nodes that are closely spaced and can exchange information to decide their collective alarm status in a decentralized manner. By exploiting their spatial correlation, we show that the pair can achieve a larger area coverage than the two individual sensors acting alone. Moreover, we analyze the performance of different collaborative detection schemes for a pair of sensor nodes and show that the area coverage achieved by each scheme depends on the distance between the two sensors.

关键词： Wireless Sensor Networks area monitoring coverage distributed detection spatial correlation

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distributed First Stage detection for Node Capture

Distributed First Stage Detection for Node Capture

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Globecom Workshops

作者： Ding, Wei Yu, Yingbing Yenduri, Sumanth Austin Peay State Univ Clarksville TN 37044 USA Univ Southern Mississippi Hattiesburg MS 39406 USA

ISBN: (纸本)9781424488650

The node capture attack on wireless sensor networks (WSNs) can be broken into three stages: node capture, node redeployment, and insider attacks. Existing detection techniques of the attack are mostly implemented in the second stage. Recent discovery proved the feasibility of quick and effective detection in the first stage. We propose a hello message based first stage detection scheme, which is faster, easier to execute, and more reliable than existing approaches. Two implementations FSD and SEFSD are provided. FSD is completely decentralized. SEFSD utilizes the base station to achieve energy efficiency and better security. Simulation shows the scheme outperforms existing techniques while illustrating SEFSD outperforms FSD in terms of message and energy overhead.

关键词： centralized notification distributed detection node capture sensor networks

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Sigma-Delta modulation based distributed detection in wireless sensor networks

Sigma-Delta modulation based distributed detection in wirele...

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作者： Wang, Dimeng Louisiana State University

学位级别：硕士

We present a new scheme of distributed detection in sensor networks using Sigma-Delta (Σ − ∆) modulation. In the existing works local sensor nodes either quantize the observa- tion or directly scale the analog observation and then transmit the processed information independently over wireless channels to a fusion center. In this thesis we exploit the advan- tages of integrating Σ − ∆ modulation as a local processor into sensor design and propose a novel mixing topology of parallel and serial configurations for distributed detection system, enabling each sensor to transmit binary information to the fusion center, while preserving the analog information through collaborative processing. We develop suboptimal fusion algorithms for the proposed system and provide both theoretical analysis and various sim- ulation results to demonstrate the superiority of our proposed scheme in both AWGN and fading channels in terms of the resulting detection error probability by comparison with the existing approaches.

关键词： Sigma-Delta modulation wireless sensor networks distributed detection

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Asynchronous and High-Accuracy Digital Modulated Signal detection by Sensor Networks

Asynchronous and High-Accuracy Digital Modulated Signal Dete...

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Military Communications Conference (MILCOM)

作者： Xu, Jefferson L. Su, Wei Zhou, Mengchu Cirrus Log Inc Austin TX 78746 USA US Army RDECOM Commun Elect RD&E Ctr Aberdeen Proving Ground MD 21005 USA New Jersey Inst Technol Dept ECE Newark NJ 07102 USA

ISBN: (纸本)9781467300810

Adaptive modulation can be used to significantly enhance the spectrum utilization for both civilian applications, e. g., cognitive radio, and military ones. It requires a receiver to follow the modulation variation of a transmitter dynamically and automatically. Binary automatic modulation detection technology has been applied to detect the modulation scheme for adaptive modulation. Modulation classification was proposed for a multi-sensor scenario in our prior work using a distributed algorithm to enhance the detection accuracy. In this paper, the function of blind detection by the wireless sensor network (WSN) is further extended to support multiple modulation hypotheses. Besides providing spatial diversities, distributed sensors perform complicated calculations of likelihood functions and use the master node (radio) for data fusion and maximum likelihood testing. The proposed method requires no synchronization across the network and works well with low transmission bandwidth. Both analytical and numerical results are presented to validate its effectiveness.

关键词： Modulation classification maximum likelihood test wireless sensor networks equal gain combining maximal-ratio combining distributed detection

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A distributed Bayesian Fusion Algorithm Research

A Distributed Bayesian Fusion Algorithm Research

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International Conference on Materials Science and Technology

作者： Xu, Shijun Hong, Li Hu, Yonghong NW Polytech Univ Inst 365 Xian 710072 Peoples R China

ISBN: (纸本)9783037850152

In this paper, the signal detection problem when distributed sensors are used a global decision is desired is considered. Local decisions from the sensors are fed to the data fusion center which then yields a global decision based on a fusion rule. Based on The data fusion theories of Bayesian criterion used for a distributed parallel structure, fusion rules at the fusion center, the decision rules of sensors and the results of the computer simulation for two identical sensors, two different sensors and three identical sensors are presented. The results of the computer simulation show that the performance of the fusion system, compared with the sensor, has been improved. For the case there are three identical sensors in the fusion system, Bayesian risk is reduced by 26.5%, compared with the sensor.

关键词： Data Fusion Bayesian Criterion distributed detection Computer Simulation

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distributed and dynamical Brillouin sensing in optical fibers

Distributed and dynamical Brillouin sensing in optical fiber...

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21st International Conference on Optical Fiber Sensors

作者： Peled, Yair Motil, Avi Yaron, Lior Tur, Moshe Tel Aviv Univ Fac Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9780819482464

Employing stimulated Brillouin scattering (SBS), we present a novel method for the quasi-simultaneous distributed measurement of dynamic strain along an entire Brillouin-inhomogeneous optical fiber. Following classical mapping of the temporally slowly varying Brillouin gain spectrum (BGS) along the fiber, we use a specially synthesized and adaptable probe wave to always work on the slope of the local BGS, allowing a single pump pulse to sample fast strain variations along the entire fiber. Strain vibrations of tens of Hertz and up to 2KHz are demonstrated, simultaneously (i.e., using the same pump pulse) measured on two different segments of the fiber, having different static Brillouin shifts.

关键词： Fiber optics sensors Brillouin scattering correlation distributed detection nonlinear optics

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distributed detection in a large wireless sensor network

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INFORMATION FUSION 2006年第4期7卷 380-394页

作者： Niu, Ruixin Varshney, Pramod K. Cheng, Qi Syracuse Univ Dept EECS Syracuse NY 13244 USA

A distributed detection and decision fusion scheme is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. At the fusion center, the total number of detections reported by local sensors are employed for hypothesis testing. Based on the assumption that the received signal power decays as the distance from the target increases, system level detection performance measures, namely probabilities of detection and false alarm, are derived analytically through approximation by using the central limit theorem (CLT). If the number of sensors is sufficiently large, the proposed fusion rule can provide very good system level detection performance, in the absence of the knowledge of local sensors' performances and at low signal to noise ratio (SNR). It is shown that for all the different system parameters we have explored, this fusion rule is equivalent to the optimal fusion rule, which requires much more prior information. To achieve a better system level detection performance, the local sensor level decision threshold should be designed optimally. Numerical methods are employed to find the optimal local sensor level threshold for different sets of system parameters. Guidelines on selecting the optimal local sensor level decision threshold are also provided. (C) 2005 Elsevier B.V. All rights reserved.

关键词： wireless sensor networks distributed detection decision fusion signal attenuation model

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