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A Secure And Distributed Framework To Identify And Share Needed Information, Wei Jiang, Bharath K. Samanthula Dec 2011

A Secure And Distributed Framework To Identify And Share Needed Information, Wei Jiang, Bharath K. Samanthula

Computer Science Faculty Research & Creative Works

Information analysis and communication play significant roles in decision making, especially in battle grounds and situations where national security is under threat. in many situations when information in consideration is sensitive/confidential, it is in our best interests to analyze and share only needed information to minimize the potential of security breach regarding other irrelevant but sensitive information. Thus, the goal of this paper is to investigate the required methodologies and propose an advanced communication framework that enables different entities in distributed environments to identify, share and analyze only needed information, without disclosing other unwanted but sensitive information. Such a framework …

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Personalized Searching For Web Service Using User Interests, Rong Hu, Wanchun Dou, Xiaoqing Frank Liu, Jianxun Liu Dec 2011

Personalized Searching For Web Service Using User Interests, Rong Hu, Wanchun Dou, Xiaoqing Frank Liu, Jianxun Liu

Computer Science Faculty Research & Creative Works

Users usually have different prospective even they input a same keyword to search Web services. It is a challenge to personalize web service search engine as more and more keyword-like Web services becoming available on Internet. User interest plays an important role in personalizing search result. Therefore, through interest extraction, Web service search engine is personalized. at last, an experiment is presented to demonstrate the feasibility of the method. © 2011 IEEE.

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Exploring Caching For Efficient Collection Operations, Swetha Surapaneni, Venkata Krishna Suhas Nerella, Sanjay K. Madria, Thomas Weigert Dec 2011

Exploring Caching For Efficient Collection Operations, Swetha Surapaneni, Venkata Krishna Suhas Nerella, Sanjay K. Madria, Thomas Weigert

Computer Science Faculty Research & Creative Works

Many useful programs operate on collection types. Extensive libraries are available in many programming languages, such as the C++ Standard Template Library, which make programming with collections convenient. Extending programming languages to provide collection queries as first class constructs in the language would not only allow programmers to write queries explicitly in their programs but it would also allow compilers to leverage the wealth of experience available from the database domain to optimize such queries. This paper describes an approach to reducing the run time of programs involving explicit collection queries by leveraging a cache to store previously computed results. …

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Middleware For Supporting Content Sharing In Dynamic Networks, Mohan Kumar, Sharma Chakravarthy, Sanjay Kumar Madria, Mark Linderman, Waseem Naqvi Dec 2011

Middleware For Supporting Content Sharing In Dynamic Networks, Mohan Kumar, Sharma Chakravarthy, Sanjay Kumar Madria, Mark Linderman, Waseem Naqvi

Computer Science Faculty Research & Creative Works

This paper proposes a middleware architecture to enable seamless content sharing in highly dynamic networks, such as those involving a number of aerial unmanned autonomous vehicles (UAVs), which are characterized by constantly changing connectivity and network topology. the proposed middleware maintains up-to-date network status as well as metadata information about data objects in the network nodes, masking the content sharing applications from the network dynamics and faults. Mechanisms for node discovery, message passing, and network management are developed. a strategy is also proposed for efficient replication to ensure availability of data in highly mobile environments. the middleware includes a message …

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Towards Failure Free Design: An Analysis Of Risk Mitigation Communication, Daniel Krus, Katie Grantham Dec 2011

Towards Failure Free Design: An Analysis Of Risk Mitigation Communication, Daniel Krus, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

In order to ensure that risk mitigation strategies are properly communicated to and understood by those who would use them in future designs, a common language of risk mitigation should exist. This paper focuses on a set of elements for describing risk mitigation strategies based on a linguistic analysis of the information such strategies must communicate to the design team. Sample strategies are then decomposed into these attributes and evaluated using the Gricean cooperation principle, relevance theory, and functional analysis theories from the pragmatics sub-field of linguistics. using the deficiencies found from this analysis, a format for risk mitigation strategies …

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Stochastic Policy Search For Variance-Penalized Semi-Markov Control, Abhijit Gosavi, Mandar Purohit Dec 2011

Stochastic Policy Search For Variance-Penalized Semi-Markov Control, Abhijit Gosavi, Mandar Purohit

Engineering Management and Systems Engineering Faculty Research & Creative Works

The variance-penalized metric in Markov decision processes (MDPs) seeks to maximize the average reward minus a scalar time the variance of rewards. in this paper, our goal is to study the same metric in the context of the semi-Markov decision process (SMDP). in the SMDP, unlike the MDP, the time spent in each transition is not identical and may in fact be a random variable. We first develop an expression for the variance of rewards in the SMDPs, and then formulate the VP-SMDP. Our interest here is in solving the problem without generating the underlying transition probabilities of the Markov …

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Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets In A Model-Driven Systems Development Process, Renzhong Wang, Cihan H. Dagli Dec 2011

Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets In A Model-Driven Systems Development Process, Renzhong Wang, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work proposes an executable system architecting paradigm for discrete-event system modeling and analysis through integration of a set of modeling tools, executable formalisms, analytical tools, and animation tools. the essential step is converting SysML-Based specifications into colored Petri nets through a conversion scheme proposed here. Such a paradigm permits rigorous static and dynamic system analysis, as well as formal verification of the behavior and functionality of the SysML-Based design. This paper also compares the capabilities of the proposed executable system architecting paradigm with other executable formalisms. Further, it discusses the basic principles of executable architecture specification and analysis for …

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Methodology For Behavioral-Based Malware Analysis And Detection Using Random Projections And K-Nearest Neighbors Classifiers, Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse Dec 2011

Methodology For Behavioral-Based Malware Analysis And Detection Using Random Projections And K-Nearest Neighbors Classifiers, Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, a Two-Stage Methodology to Analyze and Detect Behavioral-Based Malware is Presented. in the First Stage, a Random Projection is Decreasing the Variable Dimensionality of the Problem and is Simultaneously Reducing the Computational Time of the Classification Task by Several Orders of Magnitude. in the Second Stage, a Modified K-Nearest Neighbors Classifier is Used with Virus total Labeling of the File Samples. This Methodology is Applied to a Large Number of File Samples Provided by F-Secure Corporation, for Which a Dynamic Feature Has Been Extracted during Deep guard Sandbox Execution. as a Result, the Files Classified as False …

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Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury Dec 2011

Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

A new methodology for calculating the distribution locational marginal prices (D-LMP) with distributed multi-agent paradigm is presented. the proposed D-LMP employs an optimal power flow methodology to evaluate the marginal energy component, especially for renewable generations, as well as the marginal congestion and loss components, which are critical for the valuation and settlement purposes. It is also illustrated that the D-LMP can be used as pricing signal to achieve maximum system social surplus and encourage distributed renewable energy penetration in distribution system. © 2011 IEEE.

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Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao Dec 2011

Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we study linear precoding for multiple-input multiple-output (MIMO) multiple access channels (MAC) with discrete-constellation inputs. We derive the constellation-constrained capacity region for the MIMO MAC with an arbitrary number of users. Due to the non-concavity of the objective function, we obtain the necessary conditions for the weighted sum rate (WSR) maximization problem through Karush-Kuhn-Tucker (KKT) analysis. to find the optimal precoding matrices, we propose an iterative algorithm utilizing alternating optimization strategy and gradient descent update. Numerical results show that when inputs are digital modulated signals and the signal-to-noise ratio (SNR) is in the medium range, our proposed …

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Mahalanobis-Taguchi System As A Multi-Sensor Based Decision Making Prognostics Tool For Centrifugal Pump Failures, Ahmet Soylemezoglu, Sarangapani Jagannathan, Can Saygin Dec 2011

Mahalanobis-Taguchi System As A Multi-Sensor Based Decision Making Prognostics Tool For Centrifugal Pump Failures, Ahmet Soylemezoglu, Sarangapani Jagannathan, Can Saygin

Electrical and Computer Engineering Faculty Research & Creative Works

A novel Mahalanobis Taguchi System (MTS) based fault detection, isolation, and prognostics scheme is presented. the proposed scheme fuses data from multiple sensors into a single system level performance metric using Mahalanobis Distance (MD) and generates fault clusters based on MD values. MD thresholds derived from the clustering analysis are used for fault detection and isolation. When a fault is detected, the prognostics scheme, which monitors the progression of the MD values over time, is initiated. Then, using a linear approximation, time to failure is estimated. the performance of the scheme has been validated via experiments performed on a mono-block …

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On The Preconditioner Of Conjugate Gradient Method A Power Grid Simulation Perspective, Chung Han Chou, Nien Yu Tsai, Hao Yu, Che Rung Lee, Yiyu Shi, Shih Chieh Chang Dec 2011

On The Preconditioner Of Conjugate Gradient Method A Power Grid Simulation Perspective, Chung Han Chou, Nien Yu Tsai, Hao Yu, Che Rung Lee, Yiyu Shi, Shih Chieh Chang

Electrical and Computer Engineering Faculty Research & Creative Works

Preconditioned Conjugate Gradient (PCG) method has been demonstrated to be effective in solving large-scale linear systems for sparse and symmetric positive definite matrices. One critical problem in PCG is to design a good preconditioner, which can significantly reduce the runtime while keeping memory usage efficient. Universal preconditioners are simple and easy to construct, but their effectiveness is highly problem dependent. on the other hand, domain-specific preconditioners that explore the underlying physical meaning of the matrices usually work better but are difficult to design. in this paper, we study the problem in the context of power grid simulation, and develop a …

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Mixed Integral-Differential Skin-Effect Models For Peec Electromagnetic Solver, Giulio Antonini, Albert E. Ruehli, Lijun Jiang Dec 2011

Mixed Integral-Differential Skin-Effect Models For Peec Electromagnetic Solver, Giulio Antonini, Albert E. Ruehli, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Efficient modeling of the broadband skin-effect for conducting 3D shapes is a challenging issue for the solution of large electromagnetic problems. The inclusion of such models in an EM solver can be very costly in compute time and memory requirements. Several properties of a model are desirable for the solution of practical problems such as the broadband frequency domain or the time domain applicability. In this paper, we present a model which meets some of these challenges and which is suitable for the PEEC solution method. © 2011 IEEE.

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Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok Dec 2011

Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

We propose a built-in self-test (BIST) technique for testing and diagnosis of molecular electronic based nano fabrics. the nano fabric architectures are reconfigurable in nature thus making it possible to utilize general methods similar to those employed for testing of FPGAs. However, a high defect rate in nano fabrics renders the traditional techniques ill-suited. Moreover, the nano blocks offer potential for using a partially damaged nano block due to inherent redundancy of the architecture. This paper presents the design and analysis of testing configurations and optimization scheme that minimizes testing time while improving the utilization of the nano fabric. the …

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On The Linear Precoder Design For Mimo Channels With Finite-Alphabet Inputs And Statistical Csi, Weiliang Zeng, Chengshan Xiao, Mingxi Wang, Jianhua Lu Dec 2011

On The Linear Precoder Design For Mimo Channels With Finite-Alphabet Inputs And Statistical Csi, Weiliang Zeng, Chengshan Xiao, Mingxi Wang, Jianhua Lu

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This linear precoder design is an important open problem and is extremely difficult to solve: First, average mutual information lacks closed-form expression and involves complicated computations; Second, the optimization problem over precoder is nonconcave. This study explores the solution to this problem and provides the following contributions: 1) a closed-form lower bound of average mutual information is derived. It achieves asymptotic optimality at low and high signal-to-noise ratio regions and, with …

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Validation Of The Triply Selective Fading Channel Model Through A Mimo Test Bed And Experimental Results, Saurav Subedi, Huang Lou, Fei Ren, Mingxi Wang, Y. Rosa Zheng Dec 2011

Validation Of The Triply Selective Fading Channel Model Through A Mimo Test Bed And Experimental Results, Saurav Subedi, Huang Lou, Fei Ren, Mingxi Wang, Y. Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

Multiple-input multiple-output (MIMO) channel is often triply selective, meaning that it has spatial, temporal and inter-tap correlation. the temporal correlation is well characterized by its Doppler spectrum, but spatial and inter-tap correlation and their impact on MIMO channels are less studied in the literature. a MIMO testbed has been established to measure the impulse response of MIMO channels and an estimation method is developed to quantitatively measure the correlation matrices from experimental data. © 2011 IEEE.

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Efficient Uncertainty Quantification In Multidisciplinary Analysis Of A Reusable Launch Vehicle, Benjamin R. Bettis, Serhat Hosder, Tyler Winter Dec 2011

Efficient Uncertainty Quantification In Multidisciplinary Analysis Of A Reusable Launch Vehicle, Benjamin R. Bettis, Serhat Hosder, Tyler Winter

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The objective of this study was to apply a recently developed uncertainty quantification framework to the multidisciplinary analysis of a reusable launch vehicle (RLV). This particular framework is capable of efficiently propagating mixed (inherent and epistemic) uncertainties through complex simulation codes. the goal of the analysis was to quantify uncertainty in various output parameters obtained from the RLV analysis, including the maximum dynamic pressure, cross-range, range, and vehicle takeoff gross weight. Three main uncertainty sources were treated in the simulations: (1) reentry angle of attack (inherent uncertainty), (2) altitude of the initial reentry point (inherent uncertainty), and (3) the Young's …

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Alternative Crankshaft Mechanisms And Kinetic Energy Recovery Systems For Improved Fuel Economy Of Light Duty Vehicles, Alberto Boretti, Houshsng Masudi, Joseph Scalzo Dec 2011

Alternative Crankshaft Mechanisms And Kinetic Energy Recovery Systems For Improved Fuel Economy Of Light Duty Vehicles, Alberto Boretti, Houshsng Masudi, Joseph Scalzo

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The introduction of advanced internal combustion engine mechanisms and powertrains may improve the fuel conversion efficiency of an engine and thus reduce the amount of energy needed to power the vehicle. the paper presents a novel design of a variable compression ratio advanced spark ignition engine that also permits an expansion ratio that may differ from the induction stroke therefore generating an Atkinson cycle effect. the stroke ratio and the ratio of maximum to minimum in-cylinder volumes may change with load and speed to provide the best fuel conversion efficiency. the variable ratio of maximum to minimum in-cylinder volumes also …

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Simulations Of Pulse Signals With X-Parameters, Nick K.H. Huang, Lijun Jiang Dec 2011

Simulations Of Pulse Signals With X-Parameters, Nick K.H. Huang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Nonlinearity is becoming increasingly important to IC technologies. From the PHD formalism, X-parameter models provide an accurate frequency-domain method under large-signal operating points to characterize their nonlinear behaviors. In this work, X-parameter models are investigated to handle time-domain pulse signals which is critical to IC signal integrity but was not studied before. Two representative circuits, an analog LNA and a digital CMOS buffer, were employed to characterize the X-parameter performance. The results obtained in this paper provide the first hand data for pulse signal responses of X-parameters in signal integrity modelings. © 2011 IEEE.

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Compact Metallic Rfid Tag Antennas With A Loop-Fed Method, Peng H. Yang, Yan Li, Lijun Jiang, W. C. Chew, Terry Tao Ye Dec 2011

Compact Metallic Rfid Tag Antennas With A Loop-Fed Method, Peng H. Yang, Yan Li, Lijun Jiang, W. C. Chew, Terry Tao Ye

Electrical and Computer Engineering Faculty Research & Creative Works

Several compact, low profile and metal-attachable RFID tag antennas with a loop-fed method are proposed for UHF RFID systems. The structure of the proposed antennas comprise of two parts: (1) The radiator part consists of two shorted patches, which can be treated as two quarter-wave patch antennas or a cavity. (2) A small loop printed on the paper serves as the feeding structure. The small loop provides the needed inductance for the tag and is connected to the RFID chip. The input impedance of the antenna can be easily adjusted by changing loop dimensions. The antenna has the compact size …

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Improving The Efficiency Of Lpg Compression Ignition Engines For Passenger Cars Through Waste Heat Recovery, Alberto Boretti Dec 2011

Improving The Efficiency Of Lpg Compression Ignition Engines For Passenger Cars Through Waste Heat Recovery, Alberto Boretti

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The turbocharged direct injection lean burn Diesel engine is the most efficient now in production for transport applications with full load brake efficiencies up to 40 to 45% and reduced penalties in brake efficiencies reducing the load by the quantity of fuel injected. the secrets of this engine's performances are the high compression ratio and the lean bulk combustion mostly diffusion controlled in addition to the partial recovery of the exhaust energy to boost the charging efficiency. the major downfalls of this engine are the carbon dioxide emissions and the depletion of fossil fuels using fossil diesel, the energy security …

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Eigenvalue Distributions Of Mimo Rayleigh-Product Channels With Arbitrary-Power Co-Channel Interference And Noise, Yongpeng Wu, Shi Jin, Xiqi Gao, Chengshan Xiao, Matthew R. Mckay Dec 2011

Eigenvalue Distributions Of Mimo Rayleigh-Product Channels With Arbitrary-Power Co-Channel Interference And Noise, Yongpeng Wu, Shi Jin, Xiqi Gao, Chengshan Xiao, Matthew R. Mckay

Electrical and Computer Engineering Faculty Research & Creative Works

This paper studies the eigenvalue distributions of multiple-input multiple-output (MIMO) Rayleigh-product channels in the presence of both co-channel interference and thermal noise. We first present exact expressions for the marginal ordered eigenvalue distributions of the channel Gram matrix when multichannel beamforming is employed, from which we obtain exact results of the outage probability on each eigenmode. Our results apply to a wide class of multichannel systems which transmit on the eigenmodes of the MIMO channel, allowing for transmission on any numbers of eigen subchannels, with any numbers of antennas, any numbers of scatterers in the environment, and any numbers of …

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Comparison Of A Recurrent Neural Network Pv System Model With A Traditional Component-Based Pv System Model, Daniel M. Riley, Ganesh K. Venayagamoorthy Dec 2011

Comparison Of A Recurrent Neural Network Pv System Model With A Traditional Component-Based Pv System Model, Daniel M. Riley, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Photovoltaic (PV) system modeling is used throughout the photovoltaic industry for the prediction of PV system output under a given set of weather conditions. PV system modeling has a wide range of uses including pre-purchase comparisons of PV system components, system health monitoring, and estimation of payback (return on investment) times. in order to adequately model a PV system, the system must be characterized to establish the relationship between given weather inputs (e.g., irradiance, spectrum, temperature) and desired system outputs (e.g., AC power, module temperature). Traditional approaches to system characterization involve characterizing and modeling each component in a PV system …

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Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan Dec 2011

Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

While fading, in general, is detrimental to accurately localizing a target, fading correlation between adjacent receivers may be exploited to improve localization accuracy. Therefore, this paper presents a novel wireless localization scheme that employs a combination of cross-correlation between shadow fading noise and copula technique to recursively estimate the location of a transmitter. a stochastic filter that models multipath fading as an Ornstein-Uhlenbeck process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering is proposed to extract shadow fading residuals from measured RSSI values. Subsequently, Student-t Copula function is used to create the log likelihood function, which acts as …

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Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong Dec 2011

Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong

Electrical and Computer Engineering Faculty Research & Creative Works

Contingency constrained economic dispatch has been an extensively studied research topic. However, most existing works assume that the load demands at all buses are given. Such an assumption works well for conventional power grids, where the load demands are relatively easy to predict. We can select a few representative demand profiles and perform economic dispatch over them. However, such a practice will no longer work in smart grids, where the load demands fluctuate dramatically. We will need a huge number of demand profiles to cover all possible scenarios, which is computationally expensive. to address the problem, we propose a parameterized …

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Soft-Decision Feedback Turbo Equalization For Multilevel Modulations, Huang Lou, Chengshan Xiao Dec 2011

Soft-Decision Feedback Turbo Equalization For Multilevel Modulations, Huang Lou, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

Error propagation phenomena is the major drawback for existing hard-decision feedback turbo equalizers. in this paper, we propose a new soft-decision feedback equalizer (SDFE) suitable for multilevel modulation systems employing turbo equalization. the proposed SDFE offers a low computational complexity growing only linearly with the number of equalizer coefficients, as opposed to the quadratic complexity of MMSE-Based linear turbo equalizer with time-varying coefficients (Exact-MMSE-LE). the performance and convergence property of the proposed SDFE are analyzed using extrinsic information transfer (EXIT) chart and verified by simulations in a severe InterSymbol interference channel set by Proakis. Results show that our approach performs …

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Impact Of Spatial Correlation Of Fading Channels On The Performance Of Mimo Underwater Communication Systems, Jesse Cross, Jian Zhang, Yahong Rosa Zheng Dec 2011

Impact Of Spatial Correlation Of Fading Channels On The Performance Of Mimo Underwater Communication Systems, Jesse Cross, Jian Zhang, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

The spatial and intertap correlation matrices of fading channels are first estimated for underwater multiple input multiple output (MIMO) systems using real experimental data. We confirm that underwater MIMO channels exhibit strong spatial and temporal correlation. the bit error rate (BER) performance of the MIMO system at different correlation scenarios are also evaluated with computer simulation. at BER=0.01%, the required SNR of highly correlated channel is 5 dB higher than the i.i.d. channel. BER results of the experimental data also quantitatively show the performance degradation caused by the correlation. © 2011 IEEE.

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Capacitance Calculation For A Shared-Antipad Via Structure Using An Integral Equation Method Based On Partial Capacitance, Hanfeng Wang, Albert E. Ruehli, Jun Fan Dec 2011

Capacitance Calculation For A Shared-Antipad Via Structure Using An Integral Equation Method Based On Partial Capacitance, Hanfeng Wang, Albert E. Ruehli, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

An integral equation method used for capacitance extraction for axially symmetric geometries is extended in this paper to calculate the via-plane capacitances in shared-antipad via structures, by changing the circular ring cells to arc ones. the proposed method is validated with a commercial finite element method-based tool for a typical structure used in modern high-speed printed circuit design. © 2011 IEEE.

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Energy Efficient, Adaptive And Collaborative Data Sampling In Wireless Sensor Networks, Tommy Szalapski, Sanjay Kumar Madria Nov 2011

Energy Efficient, Adaptive And Collaborative Data Sampling In Wireless Sensor Networks, Tommy Szalapski, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

This paper outlines some interesting research issues and solution approaches related to collaborative data sampling in wireless sensor networks for efficient energy and bandwidth utilization. © 2011 IEEE.

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A Multi-Tiered Architecture For Content Retrieval In Mobile Peer-To-Peer Networks, Neelanjana Dutta, Raghavendra Kotikalapudi, Abhinav Saxena, Sriram Chellappan Nov 2011

A Multi-Tiered Architecture For Content Retrieval In Mobile Peer-To-Peer Networks, Neelanjana Dutta, Raghavendra Kotikalapudi, Abhinav Saxena, Sriram Chellappan

Computer Science Faculty Research & Creative Works

In this paper, we address content retrieval in Mobile Peer-to-Peer (P2P) Networks. We design a multi-tiered architecture for content retrieval, where at Tier 1, we design a protocol for content similarity governed by a parametera that trades accuracy with search overhead. at Tier 2, we introduce a novel concept called Chained Bloom Filters and design a protocol where popular search items are linked with popular content at each node in an efficient manner for subsequent retrieval. Extensive analysis and numerical simulations demonstrate the effectiveness of our techniques. © 2011 IEEE.

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