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Gain-Constrained Filtering with Probabilistic sensor Delays and Correlated Noises

Gain-Constrained Filtering with Probabilistic Sensor Delays ...

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18th international conference on Automation and computing (ICAC) - Integration of Design and Engineering

作者： Hu, Jun Wang, Zidong Shen, Bo Gao, Huijun Harbin Inst Technol Res Inst Intelligent Control & Syst Harbin 150001 Peoples R China Brunel Univ Dept Informat Syst & Comp Uxbridge UB8 3PH Middx England Univ Duisburg Essen Inst Automat Control & Complex Syst D-47057 Duisburg Germany

ISBN: (纸本)9781908549006

In this paper, the gain-constrained recursive filtering problem is investigated for a class of time-varying stochastic systems with probabilistic sensor delays and correlated noises. the phenomenon of probabilistic sensor delays is modeled by introducing a diagonal matrix composed of Bernoulli distributed random variables taking values of 1 or 0, which means that the sensors may experience randomly occurring delays with individual delay characteristics. the process noise is finite-step auto-correlated. the purpose of the addressed gain-constrained filtering problem is to design a filter such that, for all probabilistic sensor delays, gain constraint as well as correlated noises, the cost function concerning the filtering error is minimized at each sampling instant, where the filter gain satisfies a certain equality constraint. A new recursive filtering algorithm is developed that ensures both the local optimality and the unbiasedness of the designed filter at each sampling instant which achieving the pre-specified filter gain constraints. A simulation example is provided to illustrate the effectiveness of the proposed filter design approach.

关键词： Time-varying systems recursive filtering probabilistic sensor delays gain constraint correlated noises

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Radiation Awareness in three-Dimensional Wireless sensor Networks

Radiation Awareness in Three-Dimensional Wireless Sensor Net...

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international conference on distributed computing in sensor systems (dcoss)

作者： S. Nikoletseas D. Patroumpa V.K. Prasanna C. Raptopoulos J. Rolim Computer Technology Institute University of Patras Greece University of Southern California Los Angeles CA USA Centre Universitaire ďInformatique University of Geneva Switzerland

this research attempts a first step towards investigating the aspect of radiation awareness in environments with abundant heterogeneous wireless networking. We call radiation at a point of a 3D wireless network the total amount of electromagnetic quantity the point is exposed to, our definition incorporates the effect of topology as well as the time domain, data traffic and environment aspects. Even if the impact of radiation to human health remains largely unexplored and controversial, we believe it is worth trying to understand and control. We first analyze radiation in well known topologies (random and grids), randomness is meant to capture not only node placement but also uncertainty of the wireless propagation model. this initial understanding of how radiation adds (over space and time) can be useful in network design, to reduce health risks. We then focus on the minimum radiation path problem of finding the lowest radiation trajectory of a person moving from a source to a destination point of the network region. We propose three heuristics which provide low radiation paths while keeping path length low, one heuristic gets in fact quite close to the offline solution we compute by a shortest path algorithm. Finally, we investigate the interesting impact on the heuristics' performance of diverse node mobility.

关键词： Wireless sensor networks Random variables Electromagnetics Data communication Wireless networks Network topology

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ERRAGMap: Visualization tool

ERRAGMap: Visualization tool

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8th international conference on Information Science and Digital Content Technology, ICIDT 2012

作者： Gillani, Saira Naz, Sheneela Naeem, Muhammad Afzal, Muhammad Tanvir Qayyum, Amir M. A. Jinnah University Islamabad Pakistan Center of Excellence in Data Mining M. A. Jinnah University Islamabad Pakistan Distributed and Semantic Computing M. A. Jinnah University Islamabad Pakistan

ISBN: (纸本)9788988678695

Earthquakes are considered one of the major disastrous situations for any nation. the horrible earthquake may claim hundreds of lives, thousands of injuries and demolishing thousands of houses. When an earthquake hits a nation then number of management bodies (such as: government organizations, non-government organizations (NGOs)) are actively involved in reinstating the damages. Generally, these organizations deal with stats of build and still-to-be build infrastructure (roads, buildings, and houses etc). Currently, this information is presented to the organizations as a raw text in huge amount. therefore, it becomes difficult to highlight key areas where an immediate start of rehabilitation process is inevitable. In the past, some systems have been developed to present such information in structured form by using some visualization techniques. However, these tools are inadequate because of the following reasons: 1) Most of these tools are about geotechnical conditions of effected area and can provide help to describe seismic hazards 2) Some systems show trends of earthquakes in specific region. 3). None of the systems describe the rehabilitation process in an easily conceivable way. therefore, this becomes an interesting and challenging research problem to build such a system that can overcome the above mentioned limitations of current techniques and systems. In this research, we present such a system called ERRAGMAP. this geo spatial tool discovers and presents deep insight into the data related to rehabilitation of the destroyed houses in the earthquake affected areas. Our contributions in this research are as follows: 1) critical analysis of existing tools of visualization for earthquake rehabilitation systems 2) propose and develop a framework for converting raw data into actionable knowledge, 3) propose, develop and evaluate an innovative visualization technique. © 2012 AICIT.

关键词： Visualization

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Power-Efficient Algorithms for Fourier Analysis over Random Wireless sensor Network

Power-Efficient Algorithms for Fourier Analysis over Random ...

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international conference on distributed computing in sensor systems (dcoss)

作者： Xi Xu Rashid Ansari Ashfaq Khokhar Department of Electrical and Computer Engineering University of Illinois Chicago Chicago IL USA

Reduced execution time and increased power efficiency are important objectives in the distributed execution of collaborative signal processing tasks over wireless sensor networks. the power-efficient implementation of the Fourier transform computation is an exemplar of distributed data communication and processing task widely used in the signal processing field. Past work has presented some energy-efficient in-network Fourier transform computation algorithms devised only for uniformly sampled one-dimensional (1D) sensor data. However the circumstance that sensors are randomly distributed over a 2D plane may be more practical, therefore the conventional two-dimensional Fast Fourier Transform (2D FFT) defined for data sampled on uniform grids is not directly applicable in such environments. We address this problem by designing a distributed hybrid structure consisting of local Nonequispaced Discrete Fourier Transform (NDFT) and global FFT computation. Firstly, NDFT method is applied in a suitable choice of clusters to get the initial uniform Fourier coefficients with allowable estimation error bounds. We experiment with classical linear as well as generalized interpolation methods to compute NDFT coefficients within each cluster. A separable 2D FFT is then performed over all these clusters by employing our proposed energy-efficient 1D FFT computation that reduces communication costs using a novel bit index mapping strategy for data exchanges between sensors. the proposed techniques are implemented in a SID net-SWANS platform to investigate the communication costs, execution time, and energy consumption. Our results show reduced execution time and improved energy consumption when compared with existing work.

关键词： Indexes Discrete Fourier transforms Wireless sensor networks Interpolation Algorithm design and analysis distributed databases Approximation algorithms

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Neuron inspired collaborative transmission in wireless sensor networks

Neuron inspired collaborative transmission in wireless senso...

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8th Annual international conference on Mobile and Ubiquitous systems: computing, Networking and Services, MobiQuitous 2011

作者： Sigg, Stephan Jakimovski, Predrag Becker, Florian Schmidtke, Hedda R. Neumann, Alexander Ji, Yusheng Beigl, Michael Tokyo Japan Pervasive Computing Systems TecO Germany

ISBN: (纸本)9783642309724

We establish a wireless sensor network that emulates biological neuronal structures for the purpose of creating smart spaces. Two different types of wireless nodes working together are used to mimic the behaviour of a neuron consisting of dendrites, soma and synapses. the transmission among nodes that establish such a neuron structure is established by distributed beamforming techniques to enable simultaneous information transmission among neurons. through superposition of transmission signals, data from neighbouring nodes is perceived as background noise and does not interfere. In this way we show that beamforming and computation on the channel can be powerful tools to establish intelligent sensing systems even with minimal computational power. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

关键词： Neurons

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Secure location verification using radio broadcast

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8th international conference on Principles of distributed systems (OPODIS 2004)

作者： Vora, Adnan Nesterenko, Mikhail Kent State Univ Dept Comp Sci Kent OH 44242 USA

ISBN: (纸本)3540273247

Secure location verification is a recently stated problem that has a number of practical applications. the problem requires a wireless sensor network to confirm that a potentially malicious prover is located in a designated area. the original solution to the problem, as well as solutions to related problems, exploits the difference between propagation speeds of radio and sound waves to estimate the position of the prover. In this paper, we propose a solution that leverages the broadcast nature of the radio signal emitted by the prover and the distributed topology of the network. the idea is to separate the functions of the sensors. Some sensors are placed such that they receive the signal from the prover if it is inside the protected area. the others are positioned so that they can only receive the signal from the prover outside the area. Hence, the latter sensors reject the prover if they hear its signal. Our solution is versatile and it deals with provers using either omni-directional or directional propagation of radio signals without requiring any special hardware besides a radio transceiver. We estimate the bounds on the number of sensors required to protect the areas of various shapes and extend our solution to handle complex radio signal propagation, optimize sensor placement, and operate without precise topology information.

关键词： location verification wireless sensor networks security

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Applying Data Mining Techniques to Intrusion Detection in Wireless sensor Networks

Applying Data Mining Techniques to Intrusion Detection in Wi...

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8th international conference on P2P, Parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Coppolino, Luigi D'Antonio, Salvatore Garofalo, Alessia Romano, Luigi Univ Naples Parthenope Dept Technol Naples Italy

ISBN: (纸本)9780769550947

Wireless sensor Networks (WSNs) have become a hot research topic in recent years. they have many potential applications for both civil and military tasks. However, the unattended nature of WSNs and the limited computational and energy resources of their nodes make them susceptible to many types of attacks. Intrusion detection is one of the major and efficient defence methods against attacks in a network infrastructure. Intrusion Detection systems can be seen as the second line of defence and they complement the security primitives that are adopted in order to prevent attacks against the computer network being protected. the peculiar features of a wireless sensor network pose stringent requirements to the design of intrusion detection systems. In this paper, we propose a hybrid, lightweight, distributed Intrusion Detection System (IDS) for wireless sensor networks. this IDS uses both misuse-based and anomaly-based detection techniques. It is composed of a Central Agent, which performs highly accurate intrusion detection by using data mining techniques, and a number of Local Agents running lighter anomaly-based detection techniques on the motes. Decision trees have been adopted as classification algorithm in the detection process of the Central Agent and their behaviour has been analysed in selected attacks scenarios. the accuracy of the proposed IDS has been measured and validated through an extensive experimental campaign. this paper presents the results of these experimental tests.

关键词： data mining intrusion detection Wireless sensor Networks decision trees

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Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optimization in Intelligent Transportation IoT 19

Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optim...

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2022 ieee SmartWorld, 19th ieee international conference on Ubiquitous Intelligence and computing, 2022 ieee international conference on Autonomous and Trusted Vehicles conference, 22nd ieee international conference on Scalable computing and Communications, 2022 ieee international conference on Digital Twin, 8th ieee international conference on Privacy computing and 2022 ieee international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Yi, Lingzhi Luo, Bin Zhu, Chenlu Deng, Xianjun Xia, Yunzhi Wu, Hengshan Zhongnan University of Economics and Law School of Information and Safety Engineering Wuhan430073 China University of South China School of Civil Engineering Hengyang421001 China Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan430074 China Hubei Chutian Expressway Digital Technology Co. Ltd Wuhan430074 China

ISBN: (纸本)9798350346558

the integration of Internet of things (IoT)-based highway bridge structural health monitoring (HBSHM) and intelligent transportation systems (ITS) plays an essential role in detecting damage for large and complex bridge structures. the HBSHM provides ITS with bridge health condition information for real-time traffic management. the ITS provides HBSHM with the required traffic data to improve the HBSHM system's accuracy and reliability. Node deployment optimization (NDO) is critical in HBSHM as sensor node deployment directly affects the quality of collected data. To better solve the NDO problem in HBSHM, a novel hybrid cat-artificial fish swarm algorithm (CAT-AFSA) based on the Artificial Fish Swarm Algorithm (AFSA) and Cat Swarm optimization (CSO) is proposed in this paper. the algorithm introduces seeking and tracing behaviors of CSO into AFSA, which effectively expands the search space of artificial fish and reduces the blind search of it. the performance of the CAT-AFSA is first tested using four benchmark functions, and then its validity and feasibility for the NDO are verified using an engineering example. the simulations demonstrate that the CAT-AFSA has better search performance and computational efficiency compared with the AFSA and CSO. the CAT-AFSA has a broad application prospect in the field of NDO in civil engineering. © 2022 ieee.

关键词： Intelligent systems

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8th international Joint conference on e-Business and Telecommunications, ICETE 2011

8th International Joint Conference on e-Business and Telecom...

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8th international Joint conference on e-Business and Telecommunications, ICETE 2011

ISBN: (纸本)9783642357541

the proceedings contain 37 papers. the special focus in this conference is on e-business and telecommunications. the topics include: Face recognition in uncontrolled environments, experiments in an airport;paradigms of distributed software systems;a wildfire prediction based on fuzzy inference system for wireless sensor networks;how wireless sensor networks can benefit from threshold cryptography;selection of information-intensive services;territorial safety networks;client-oriented preferences model for QoS aggregation in service-based applications;application of metamorphic testing to a case study in web services compositions;spam filtering through anomaly detection;on the feasibility of malware attacks in Smartphone platforms;accelerating reduction for enabling fast multiplication over large binary fields;a related-key attack against multiple encryption based on fixed points;a path to defending security protocols;a framework for dynamic optimization of security and performances;broadcast authentication in a low speed controller area network;a method of real-time non-uniform speech stretching;touching character segmentation method of archaic lanna script;weight based fast mode decision for H.264/AVC video coding standard;downlink multiuser MIMO-OFDM systems;experience in deploying a wireless sensor network in a vineyard;link adaptation in ad hoc networks based on interference minimization;unidirectional traffic flow to protect wireless sensor networks against byzantine attacks and successive interference cancellation for multi-user MIMO-OFDM ad-hoc networks.

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A novel distributed energy-efficient self-organized algorithm for wireless ad hoc networks

A novel distributed energy-efficient self-organized algorith...

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8th international conference on Intelligent Environments, IE 2012

作者： Olascuaga-Cabrera, J. Guadalupe Mendez-Vazquez, Andres Lopez-Mellado, Ernesto CINVESTAV Unidad Guadalajara Av. del Bosque 1145 Col El Bajio 45015 Zapopan Jal Mexico

ISBN: (纸本)9780769547411

Wireless ad-hoc networks require a special management because of their hardware and energy limitations compared with wired networks. the problem of constructing a backbone structure over wireless ad-hoc networks has been widely researched. the basic problem is to minimize the wireless backbone size by taking into consideration the node's capabilities. therefore, an efficient, self-organized, scalable, and fault-tolerant algorithm is proposed, where node connection in the backbone is minimal. the proposed algorithm groups the node elements in clusters by means of a self-organization strategy based in four possible roles for each node in the network: leader, gateway, member and bridge. In order to show the performance of the algorithm, an implementation in the NS2 simulator is used. this simulation allows evaluating the structure built by the proposed algorithm. this allows showing that the proposed algorithm can obtain better results, in wireless backbone size and energy consumption, when comparing with MWAC algorithm. © 2012 ieee.

关键词： sensor networks

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