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Power-aware and reliable sensor selection based on trust for Wireless Sensor Networks

Journal of communications 2010年第1期5卷 23-30页

作者： Han, Guangjie Shu, Lei Ma, Jianhua Park, Jong Hyuk Ni, Jianjun Department of Information and Communication Systems Hohai University Changzhou China Digital Enterprise Research Institute National University of Ireland Galway Ireland Department of Multimedia Engineering Osaka University Japan Faculty of Computer and Information Sciences Hosei University Japan Department of Computer Science and Engineering Seoul National University of Technology Korea Republic of

Wireless Sensor Networks (WSNs) is temporarily formed, operated and managed by the nodes themselves. In a complex WSN, malicious nodes are well disguised, and they can attack the entire network on specific purpose by utilizing the natural cooperation of nodes. The error-prone characteristic of sensor nodes can also cause instability in WSN. Therefore, how to choose one or more suitable sensor nodes to collaborate towards a better system performance is a critical issue. In this paper, we construct a new trust model for WSNs based on the trust mechanism in human society. Based on this trust model, we propose a novel power-aware and reliable scheme for sensor selection (PRS). The remaining energy of a node can be considered as an important restrictive factor for the proposed scheme. Simulation results show that PRS scheme can improve the system stability, defend against the attacks of malicious nodes, and prolong the lifetime of WSNs, effectively. © 2010 Academy Publisher.

关键词： Sensor nodes

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Color image segmentation based on adaptive level set and region statistical information

Color image segmentation based on adaptive level set and reg...

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Chinese Conference on Pattern Recognition

作者： Wang, Xi-Li Feng, Yuan Department of Computer Science Shaanxi Normal University Xi'an 710062 China Research Center of Electron Communication System and Electron Antagonize Technique Air Force Engineering University Xi'an 710051 China

ISBN: (纸本)9781424472109

This paper proposed an adaptive level set algorithm combining region statistical information for color image segmentation. In this model, we deduce image segmentation model with Maximum a posteriori according to Bayesian theory, and combine it into GAC model. Firstly, construct a speed stop function based on region statistical information which combines region statistical character and Bayesian model. And apply it to image segmentation on color images. Secondly, construct alterable coefficient based on a posteriori of segmented image of inside and outside the curve. It aims to change evolution direction adaptively based on the information of image. Thirdly, eliminate the re-initialization procedure by introducing interior restrict energy term of the Li method. At the same time, simplify the definition of the initial level set function. Experimental results show that this method has the advantages of evolving adaptively and stable numerical solution, and can extract the real edge of object from color image efficiently, so that is an effective image segmentation method. ©2010 IEEE.

关键词： Image segmentation

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A Static Environment-Based Path Planning Method by Using Genetic Algorithm

A Static Environment-Based Path Planning Method by Using Gen...

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International Conference on Computing Control and Industrial engineering (CCIE)

作者： Zhigang Yao Lianyang Ma Department of Computer Science Faculty of Information and Engineering China University of Geosciences (Beijing) Wuhan China Institute of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424467501

This paper proposed a genetic algorithm-based method of path planning for mobile robot in a static environment. The paper uses a simple fitness function as the evaluation standard for an individual or a path. This is able to reduce the computation consumption, but it still cannot avoid of customizing genetic operators. In most cases, thus, the optimal solution could be found out in the lower evolution generations. The simulation study shows that this method is suitable for mobile robot path planning.

关键词： Path planning Genetic algorithms Mobile robots Optimization methods communication system control Industrial engineering computer science Genetic engineering Geology Image communication

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On signalling over Through-Silicon Via (TSV) interconnects in 3-D Integrated Circuits 10

On signalling over Through-Silicon Via (TSV) interconnects i...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Roshan Weerasekera Matt Grange Dinesh Pamunuwa Hannu Tenhunen Centre of Microsystems Engineering Faculty of Science & Technology Lancaster University Lancaster UK Department of Electronics Computer and Software Systems KTH School of Information and Communication Technologies Kista Sweden

ISBN: (纸本)9783981080162

This paper discusses signal integrity (SI) issues and signalling techniques for Through Silicon Via (TSV) interconnects in 3-D Integrated Circuits (ICs). Field-solver extracted parasitics of TSVs have been employed in Spice simulations to investigate the effect of each parasitic component on performance metrics such as delay and crosstalk and identify a reduced-order electrical model that captures all relevant effects. We show that in dense TSV structures voltage-mode (VM) signalling does not lend itself to achieving high data-rates, and that current-mode (CM) signalling is more effective for high throughput signalling as well as jitter reduction. Data rates, energy consumption and coupled noise for the different signalling modes are extracted.

关键词： Through-silicon vias Integrated circuit interconnections Three-dimensional integrated circuits Crosstalk Silicon Circuit simulation Measurement Delay effects Voltage Virtual manufacturing

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Wireless sensor networks for Home Appliance Energy Management based on ZigBee technology

Wireless sensor networks for Home Appliance Energy Managemen...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian-Jian Wang Shuo Wang Department of Electronics and Communication Engineering North China Electric Power University Baoding China Machine Learning Center Faculty of Mathematics and Computer Science HeBei University Baoding China

Wireless Sensor Networks for Home Appliance Energy Management based on ZigBee technology is introduced in this paper. The aim of this research is to develop a real-time, low-cost, low power consumption and better reliable system for monitoring home appliance. Based on system analysis, hardware architecture design and underlying software development are presented. Experiment testing result demonstrates that this system is suitable for home appliance energy management and it makes electric scheduling and management more convenient and flexible. Moreover, it can be extended to a whole building or community.

关键词： Wireless sensor networks Base stations Home appliances Power demand Monitoring Zigbee Switches

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E-cost estimation using expert judgment and COCOMO II

E-cost estimation using expert judgment and COCOMO II

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International Symposium on Information Technology, ITSim

作者： Zulkefli Bin Mansor Zarinah Mohd Kasirun Noor Habibah Hj Arshad Saadiah Yahya Department of Computer Science Faculty of Industrial Information Technology Universiti Industri Selangor Selangor Darul Ehsan Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia System Science Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Darul Ehsan Malaysia Computer Technology and Networking Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Darul Ehsan Malaysia

The accuracy and efficiency of cost estimation methodology for web-based application is very important for software development as it would be able to assist the management team to estimate the cost. Furthermore, it will ensure that the development of cost is within the planned budget and provides a fundamental motivation towards the development of web-based application project. The literature review reveals that COCOMO II provides accurate result because more variables are considered including reuse parameter. The parameter is one of the essential variables in estimating the cost in web-based application development. This research investigates the feasibility to combine and implement COCOMO II and expert judgment technique in a tool called WebCost. In estimating a cost, the tool considers all variables in COCOMO II and requires expert judgment to key-in the input of the variables such as project size, project type, cost adjustment factor and cost driven factor. Developed in JAVA, WebCost is proven able to estimate cost and generate its estimation result. The usability evaluation conducted had shown that WebCost is usable when compared with other tools, it has its own advantages. WebCost is evidence suitable for everyone especially the project managers, software practitioners or software engineering student in handling the cost estimation tasks.

关键词： Variable speed drives Book reviews Estimation Accuracy computer aided software engineering

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Extending DNS to support geocasting towards VANETs: A proposal

Extending DNS to support geocasting towards VANETs: A propos...

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IEEE Vehicular Networking Conference (VNC)

作者： Tiago Fioreze Geert Heijenk Centre of Telematics and Information Technology (CTIT) Faculty of Electrical Engineering Mathematics and Computer Science (EEMCS) Department of Design and Analysis of Communication Systems (DACS) University of Twente Enschede Netherlands

The delivery of IP packets to a set of elements lying within a designated geographical area, also known as geocasting, is an important aspect in vehicular networks. Geocast messages can be used, for instance, to warn drivers about road conditions (e.g., weather hazards) and therefore prevent accidents. In order for geocasting to work on the Internet, IP addresses must be associated with geographical coordinates, either temporary (vehicles in transit on a road) or permanently (roadside units along the road). However, finding IP nodes within specified geographical areas is still an open issue, even though several proposals have been made. The objective of this paper is to introduce a novel proposal to extend DNS capabilities in order to support geocast.

关键词： Proposals Vehicles IP networks Internet Routing Roads Servers

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Real time traffic congestion degree computation for minor sensorless roads using cost efficient context reasoning

Real time traffic congestion degree computation for minor se...

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International IEEE Conference on Intelligent Transportation systems

作者： Raphiphan, Panraphee Prathombutr, Passakon Zaslavsky, Arkady Meesad, Phayung Caulfield School of Information Technology Monash University 900 Dandenong Rd Caulfield East VIC 3145 Australia 112 Thailand Science Park Phahon Yothin Rd Pathumthani 12120 Thailand Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Centre for Distributed System and Software Engineering Monash University Australia Department of Teacher Training in Electrical Education Faculty of Technical Education King Mongkut's University of Technology North Bangkok 1518 Pibulsongkram Rd Bangsue Bangkok 10800 Thailand

ISBN: (纸本)9781424476572

Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor roads is rarely available. In this paper, we present a cost efficient approach to compute real time traffic congestion degrees for non-sensor infrastructure roads, such as small minor roads, based on context fusion and context reasoning method. Our framework intends to utilize real time acquirable context instead of relying on traffic sensory data which made our approach suitable for insufficient sensor infrastructure environment. The evaluation throughout several experimentations conducted in Bangkok has proven the feasibility of our approach. Besides, the experimental result indicated that the methodology of our experiment can be used as an alternative cost efficient tool for infrastructure investment decision making. ©2010 IEEE.

关键词： Traffic congestion

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A novel DoubleMinOver classifier based On second-order tensor

A novel DoubleMinOver classifier based On second-order tenso...

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International Conference on Natural Computation (ICNC)

作者： Zhe Wang Rui Han Zhisong Pan Xuelei Ni Department of Computer Science & Engineering East China University of Science and Technology Shanghai China Department of Information & Communication Engineering Huaian College of Information and Technology Jiangsu China Institute of Command Automation People''s Liberation Army University of Science and Technology Nanjing China Department of Information System Shanghai Automotive Industry Corporation Shanghai China

It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver.

关键词： Tensile stress Feature extraction Accuracy Artificial neural networks Training Lenses Iris

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Object recognition using visuo-affordance maps

Object recognition using visuo-affordance maps

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2010 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Arjan Gijsberts Tatiana Tommasi Giorgio Metta Barbara Caputo Department of Robotics Brain and Cognitive Sciences Italian Institute of Technology Genoa Italy Centre Du Parc Idiap Research Institute Martigny Switzerland Department of Communication Computer and System Sciences Faculty of Engineering University of Genova Genoa Italy

One of the major challenges in developing autonomous systems is to make them able to recognize and categorize objects robustly. However, the appearance-based algorithms that are widely employed for robot perception do not explore the functionality of objects, described in terms of their affordances. These affordances (e.g., manipulation, grasping) are discriminative for object categories and are important cues for reliable robot performance in everyday environments. In this paper, we propose a strategy for object recognition that integrates both visual appearance and grasp affordance features. Following previous work, we hypothesize that additional grasp information improves object recognition, even if we reconstruct the grasp modality from visual features using a mapping function. We considered two different representations for the grasp modality: (1) motor information of the hand posture while grasping and (2) a more general grasp affordance descriptor. Using a multi-modal classifier we show that having real grasp information significantly boost object recognition. This improvement is preserved, although to a lesser extent, if the grasp modality is reconstructed using the mapping function.

关键词： Visualization Training Object recognition Image reconstruction Kernel Grasping Robots

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