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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

Maxwellian Circuits-Based Analysis Of Loaded Wire Antennas And Scatterers, Mohamed A. Abou-Khousa, R. Zoughi Mar 2008

Maxwellian Circuits-Based Analysis Of Loaded Wire Antennas And Scatterers, Mohamed A. Abou-Khousa, R. Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Based on the recently proposed Maxwellian circuit (MC) theory, a new method to analyze wire antennas and scatterers loaded with linear lumped elements is demonstrated in this letter. To effectively incorporate the load boundary condition into the numerical solution, the MC model is solved herein using finite element method (FEM).

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A Note On Discrete-Time Triply-Selective Mimo Rayleigh Fading Channel Models, Jan Mietzner, Chengshan Xiao, Peter A. Hoeher, Khaled Ben Letaief Mar 2008

A Note On Discrete-Time Triply-Selective Mimo Rayleigh Fading Channel Models, Jan Mietzner, Chengshan Xiao, Peter A. Hoeher, Khaled Ben Letaief

Electrical and Computer Engineering Faculty Research & Creative Works

We discuss recent results on discrete-time models for triply-selective multiple-input multiple-output (MIMO) Rayleigh fading channels. Our key finding is that a previously proposed model (Xiao et al., 2004), which allows for efficient computer simulations, is sufficiently accurate for a wide range of practical scenarios.

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Automatic Drift Compensation Using Phase Correlation Method For Nanomanipulation, Qinmin Yang, Jagannathan Sarangapani, Eric W. Bohannan Mar 2008

Automatic Drift Compensation Using Phase Correlation Method For Nanomanipulation, Qinmin Yang, Jagannathan Sarangapani, Eric W. Bohannan

Electrical and Computer Engineering Faculty Research & Creative Works

Nanomanipulation and nanofabrication with an atomic force microscope (AFM) or other scanning probe microscope (SPM) are a precursor for nanomanufacturing. It is still a challenging task to accomplish nanomanipulation automatically. In ambient conditions without stringent environmental controls, the task of nanomanipulation requires extensive human intervention to compensate for the spatial uncertainties of the SPM. Among these uncertainties, the thermal drift, which affects spatial resolution, is especially hard to solve because it tends to increase with time, and cannot be compensated simultaneously by feedback from the instrument. In this paper, a novel automatic compensation scheme is introduced to measure and estimate …

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Domino Logic Testing Systems And Methods, Waleed K. Al-Assadi, Pavankumar Chandrasekhar Feb 2008

Domino Logic Testing Systems And Methods, Waleed K. Al-Assadi, Pavankumar Chandrasekhar

Electrical and Computer Engineering Faculty Research & Creative Works

A domino logic test circuit includes a dynamic node, a precharge device for charging the dynamic node, and an output inverter for inverting an output of the dynamic node. A logic network is coupled to the dynamic node for discharging the dynamic node in accordance with logic. A footer device enables and disables the logic network. A keeper device is coupled to the dynamic node for retaining a charge state of the dynamic node while awaiting the logic network to operate in accordance with the logic. A test mode selection device is coupled to the dynamic node and is configured …

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Low Complexity Soft-Input Soft-Output Block Decision Feedback Equalization, Jingxian Wu, Y. Rosa Zheng Feb 2008

Low Complexity Soft-Input Soft-Output Block Decision Feedback Equalization, Jingxian Wu, Y. Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

A low complexity soft-input soft-output (SISO) block decision feedback equalizer (BDFE) is presented for turbo equalization. The proposed method employs a sub-optimum sequence-based detection, where the soft-output of the equalizer is calculated by evaluating an approximation of the sequence-based a posteriori probability (APP) of the data symbol. The sequence-based APP approximation is enabled by the adoption of both soft a priori information and soft decision feedback, and it leads to better performance and faster convergence compared to symbol-based detection methods as used by most other low complexity equalizers. The performance and convergence property of the proposed algorithm is analyzed by …

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Estimating Maximum Radiated Emissions From Printed Circuit Boards With An Attached Cable, Shaowei Deng, Todd H. Hubing, Daryl G. Beetner Feb 2008

Estimating Maximum Radiated Emissions From Printed Circuit Boards With An Attached Cable, Shaowei Deng, Todd H. Hubing, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

The common-mode current induced on cables attached to printed circuit boards can be a significant source of radiated emissions. Previous studies have shown that coupling from electric and magnetic field sources on circuit boards can be effectively modeled by placing equivalent voltage sources between the board and the cable. The amplitude of these equivalent sources can be estimated by using closed-form equations; however, estimates of the radiated emissions from these board-cable geometries have required full-wave simulations, and full-wave simulation results depend on the exact cable length and placement, which are not normally fixed during radiated emissions testing. This paper develops …

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Extending Voltage Range And Reducing Torque Ripple Of Five-Phase Motor Drives With Added Voltage Harmonics, Jing Huang, Keith Corzine, Shuai Lu, Chris M. Hutson Feb 2008

Extending Voltage Range And Reducing Torque Ripple Of Five-Phase Motor Drives With Added Voltage Harmonics, Jing Huang, Keith Corzine, Shuai Lu, Chris M. Hutson

Electrical and Computer Engineering Faculty Research & Creative Works

As multi-phase (defined as greater than three-phase) drives become more popular and practical, new research in this area investigates potential advantages including lower torque ripple and better power density. The added dimensions of a multi-phase machine leads to a completely different operating nature than standard three-phase machines. It can be shown physically and mathematically that certain harmonics do not contribute to torque production and therefore the torque is not directly tied to the current wave-shape. This paper utilizes this property to demonstrate a substantial increase in voltage range and a reduction in torque ripple through the use of added voltage …

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Fault-Tolerant Optimal Neurocontrol For A Static Synchronous Series Compensator Connected To A Power Network, Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy Feb 2008

Fault-Tolerant Optimal Neurocontrol For A Static Synchronous Series Compensator Connected To A Power Network, Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel fault-tolerant optimal neurocontrol scheme (FTONC) for a static synchronous series compensator (SSSC) connected to a multimachine benchmark power system. The dual heuristic programming technique and radial basis function neural networks are used to design a nonlinear optimal neurocontroller (NONC) for the external control of the SSSC. Compared to the conventional external linear controller, the NONC improves the damping performance of the SSSC. The internal control of the SSSC is achieved by a conventional linear controller. A sensor evaluation and (missing sensor) restoration scheme (SERS) is designed by using the autoassociative neural networks and particle swarm …

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A Suite Of Robust Controllers For The Manipulation Of Microscale Objects, Qinmin Yang, Jagannathan Sarangapani Feb 2008

A Suite Of Robust Controllers For The Manipulation Of Microscale Objects, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A suite of novel robust controllers is introduced for the pickup operation of microscale objects in a microelectromechanical system (MEMS). In MEMS, adhesive, surface tension, friction, and van der Waals forces are dominant. Moreover, these forces are typically unknown. The proposed robust controller overcomes the unknown contact dynamics and ensures its performance in the presence of actuator constraints by assuming that the upper bounds on these forces are known. On the other hand, for the robust adaptive critic-based neural network (NN) controller, the unknown dynamic forces are estimated online. It consists of an action NN for compensating the unknown system …

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A New Control Method For Single-Dc-Source Cascaded H-Bridge Multilevel Converters Using Phase-Shift Modulation, Jingsheng Liao, Keith Corzine, Mehdi Ferdowsi Feb 2008

A New Control Method For Single-Dc-Source Cascaded H-Bridge Multilevel Converters Using Phase-Shift Modulation, Jingsheng Liao, Keith Corzine, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

Multilevel converters have gained popularity in high-power applications due to their low switch voltage stress and modularity. Cascaded H-bridge converters are a promising breed of multilevel converters, which generally require several independent dc sources. Using phase-shift modulation, a new control method for cascaded H-bridge multilevel converters with only one independent dc source per phase is presented in this paper. Unlike the conventional approaches, the proposed method has a wide voltage regulation range over the capacitors replacing the dc sources in the H-bridge converter cells.

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Embedded Neural Network For Fire Classification Using An Array Of Gas Sensors, Shishir Bashyal, Ganesh K. Venayagamoorthy, Bandana Paudel Feb 2008

Embedded Neural Network For Fire Classification Using An Array Of Gas Sensors, Shishir Bashyal, Ganesh K. Venayagamoorthy, Bandana Paudel

Electrical and Computer Engineering Faculty Research & Creative Works

Fire is one of the most common hazards in US households. In 2006 alone, 2705 people were killed due to fire in building structures. 74% of the deaths result from fires in homes with no smoke alarms or no working smoke alarms while surveys report that 96% of all homes have at least one smoke alarm. This study discusses the development of a fire sensing system that is not only capable of detecting fire in its early stage but also of classifying the fire based on the smell of the smoke in the environment. By using an array of sensors …

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A Current-Sensorless Digital Controller For Active Power Factor Correction Control Based On Kalman Filters, Jonathan W. Kimball, Philip T. Krein Feb 2008

A Current-Sensorless Digital Controller For Active Power Factor Correction Control Based On Kalman Filters, Jonathan W. Kimball, Philip T. Krein

Electrical and Computer Engineering Faculty Research & Creative Works

For low-power AC-DC converters, power factor correction (PFC) can be accomplished simply with certain converters operating in discontinuous conduction mode (DCM). At higher power levels, DCM results in higher losses, so most PFC converters use current feedback to actively track the correct current waveshape. This work presents a way to provide PFC control without the current sensor, by replacing the sensor with a Kalman filter, which is essentially a stochastic observer. Experimental results verify its high power factor and low total harmonic distortion (THD).

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Efficient Mrf Approach To Document Image Enhancement, Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder Jan 2008

Efficient Mrf Approach To Document Image Enhancement, Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder

Electrical and Computer Engineering Faculty Research & Creative Works

Markov random field (MRF) based approaches have been shown to perform well in a wide range of applications. Due to the iterative nature of the algorithm, the computational cost of such applications is normally high. In the context of document image analysis, where numerous documents have to be processed, this computational cost may become prohibitive. We describe a novel approach to document image enhancement using MRF. We show that by using domain specific knowledge, we are able to substantially improve computational performance by an order of magnitude. Moreover, in contrast to known techniques where patch initialization is arbitrary, in the …

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A Comparison Of Mlp, Rnn And Esn In Determining Harmonic Contributions From Nonlinear Loads, Jing Dai, Pinjia Zhang, Joy Mazumdar, Ronald G. Harley, G. K. Venayagamoorthy Jan 2008

A Comparison Of Mlp, Rnn And Esn In Determining Harmonic Contributions From Nonlinear Loads, Jing Dai, Pinjia Zhang, Joy Mazumdar, Ronald G. Harley, G. K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

With the wide use of power electronics devices, harmonic currents are being injected into the power system, known as "harmonic pollution". Although IEEE standards [1][2] have required the utilities and customers to limit the amount of harmonic current and voltage, the practical evaluation is complicated, as it is difficult to separate the contributions from the utilities and customers. a neural network-Based harmonic current prediction scheme was previously proposed by the authors to estimate the true harmonic current attributed to the nonlinearity of the load, instead of the distorted power supply. to test the feasibility of different types of neural networks …

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Noise Coupling Between Signal And Power/Ground Nets Due To Signal Vias Transitioning Through Power/Ground Plane Pair, Jun Fan, Matteo Cocchini, Bruce Archambeault, James L. Knighten, James L. Drewniak, Samuel Connor Jan 2008

Noise Coupling Between Signal And Power/Ground Nets Due To Signal Vias Transitioning Through Power/Ground Plane Pair, Jun Fan, Matteo Cocchini, Bruce Archambeault, James L. Knighten, James L. Drewniak, Samuel Connor

Electrical and Computer Engineering Faculty Research & Creative Works

Signal vias are often used to move a signal from one PCB layer to another. as a result, these vias can penetrate power/ground plane pair and cause noise coupling (crosstalk) between signal and power/ground nets. This paper studies the noise coupling mechanism using a segmentation approach combined with a via capacitance model and a plane-pair cavity model. Noise coupling from signal to power/ground, and vice versa, is demonstrated in the modeling results.

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Technology And Signal Processing For Brain-Machine Interfaces, Justin C. Sanchez, Jose C. Principe, Toshikazu Nishida, Rizwan Bashirullah, John G. Harris, José A.B. Fortes Jan 2008

Technology And Signal Processing For Brain-Machine Interfaces, Justin C. Sanchez, Jose C. Principe, Toshikazu Nishida, Rizwan Bashirullah, John G. Harris, José A.B. Fortes

Electrical and Computer Engineering Faculty Research & Creative Works

Brain-machine interfaces (BMIs) aid disabled humans. BMI systems face challenges such as interfacing with neural tissue, selecting the most appropriate control signals, acquiring data and decoding patient intent in implantable or wearable computers. They must be able to adapt to different variety of behavioral states. Today's hybrid BMI systems consume less power and are made to chronically extract control commands from the nervous system. In terms of signal processing approaches, one challenge for BMI data analysis is learning how to handle large multi-input multi-output systems with signal representations that span continuous and discrete time. BMI systems also need sufficient information …

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Block-By-Block Link-Path Analysis And Design With Physics-Based Models, James L. Drewniak Jan 2008

Block-By-Block Link-Path Analysis And Design With Physics-Based Models, James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

Link-path analysis and design by block can provide insight into performance and tighter performance budgeting.

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Texture Feature Selection For Buried Mine Detection In Airborne Multispectral Imagery, Spandan Tiwari, Sanjeev Agarwal, Anh Trang Jan 2008

Texture Feature Selection For Buried Mine Detection In Airborne Multispectral Imagery, Spandan Tiwari, Sanjeev Agarwal, Anh Trang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a methodology for the detection of buried mines in airborne multispectral imagery is explored. the approach is based on utilizing the color texture information in the buried mine signatures, which is extracted using the cross-co-occurrence texture features. a systematic two-stage approach, using Bhattacharya Coefficient-Based analysis and principal feature analysis, is developed for the selection of a small subset of discriminatory features. Detection results from actual airborne data from two different sites are presented. the performances are compiled for four different feature-Based detectors and are compared with the conventional multiband RX anomaly detector, to validate the feature selection …

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Dual-Polarized Near-Field Microwave Reflectometer For Noninvasive Inspection Of Carbon Fiber Reinforced Polymer-Strengthened Structures, Sergey Kharkovsky, Adam C. Ryley, Vivian Stephen, R. Zoughi Jan 2008

Dual-Polarized Near-Field Microwave Reflectometer For Noninvasive Inspection Of Carbon Fiber Reinforced Polymer-Strengthened Structures, Sergey Kharkovsky, Adam C. Ryley, Vivian Stephen, R. Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Carbon fiber reinforced polymer (CFRP) composites are increasingly being used to strengthen various components of civil, aerospace, and automotive infrastructures. Subsequent to the application of CFRP, evaluation of the structural integrity of the strengthened members becomes a critical issue. Microwave noninvasive inspection techniques have been successfully used for this purpose. To this end, a novel near-field microwave inspection system that employs a dual-polarized reflectometer for detecting defects, such as disbonds between CFRP laminates and strengthened structures, was developed. It is shown that this system is capable of automatic removal of the influence of undesired standoff distance (or surface roughness) variations. …

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Individual-Based Artificial Ecosystems For Design And Optimization, Srinivasa Shivakar Vulli, Sanjeev Agarwal Jan 2008

Individual-Based Artificial Ecosystems For Design And Optimization, Srinivasa Shivakar Vulli, Sanjeev Agarwal

Electrical and Computer Engineering Faculty Research & Creative Works

Individual-Based modeling has gained popularity over the last decade, mainly due to its proven ability to address a variety of problems, including modeling complex systems from bottom-up, providing relationships between component level and system level parameters, and relating emergent system level behaviors from simple component level interactions. Availability of computational power to run simulation models with thousands to millions of agents is another driving force in the wide-spread adoption of individual-Based modeling. in this paper, we propose an individual-Based modeling approach to solve engineering design and optimization problems using artificial ecosystems (AES). the problem to be solved is "mapped" to …

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Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani Jan 2008

Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we consider the use of nonlinear networks towards obtaining nearly optimal solutions to the control of nonlinear discrete-time (DT) systems. The method is based on least squares successive approximation solution of the generalized Hamilton-Jacobi-Bellman (GHJB) equation which appears in optimization problems. Successive approximation using the GHJB has not been applied for nonlinear DT systems. The proposed recursive method solves the GHJB equation in DT on a well-defined region of attraction. The definition of GHJB, pre-Hamiltonian function, HJB equation, and method of updating the control function for the affine nonlinear DT systems under small perturbation assumption are proposed. …

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Improved Bdfe Using A Priori Information For Turbo Equalization, Jingxian Wu, Sang-Yick Leong, Kah-Ping Lee, Chengshan Xiao, Jan C. Olivier Jan 2008

Improved Bdfe Using A Priori Information For Turbo Equalization, Jingxian Wu, Sang-Yick Leong, Kah-Ping Lee, Chengshan Xiao, Jan C. Olivier

Electrical and Computer Engineering Faculty Research & Creative Works

Turbo equalization improves communication system performance by iteratively exchanging information between soft-input soft-output (SISO) equalizer and SISO channel decoder. The trellis-based maximum a posteriori probability (MAP) algorithm serves as the optimum SISO equalizer for turbo equalization. However, MAP algorithm is unsuitable for systems with large modulation constellation size and severe inter-symbol interference (ISI) due to its prohibitively high computational complexity. In this paper, an improved SISO block decision feedback equalizer (BDFE) is proposed for low complexity turbo equalization. Unlike other sub-optimum equalizers which perform symbol by symbol detection, the proposed equalizer generates the soft output for each data bit by …

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Multiple-Input Multiple-Output Rayleigh Flat Fading Outage Capacity Using Channel Estimation, Chris G. Potter, Kurt Louis Kosbar, Adam Panagos Jan 2008

Multiple-Input Multiple-Output Rayleigh Flat Fading Outage Capacity Using Channel Estimation, Chris G. Potter, Kurt Louis Kosbar, Adam Panagos

Electrical and Computer Engineering Faculty Research & Creative Works

Upper and lower bounds on the outage capacity for a multiple-input multiple-output (MIMO) Rayleigh flat fading wireless baseband communication environment are derived for the case when the channel is completely unknown at the transmitter and the receiver has access to channel state information (CSI) via pilot estimation. The bounds show that the channel estimation error significantly impacts the outage capacity. A change in the outage probability is also shown to have a larger impact on the outage capacity when the channel estimation error is small. To get an idea of how these bounds are affected by a temporally correlated channel, …

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Real-Time Implementation Of A Statcom On A Wind Farm Equipped With Doubly Fed Induction Generators, Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley Jan 2008

Real-Time Implementation Of A Statcom On A Wind Farm Equipped With Doubly Fed Induction Generators, Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

Voltage stability is a key issue to achieve the uninterrupted operation of wind farms equipped with doubly fed induction generators (DFIGs) during grid faults. This paper investigates the application of a static synchronous compensator (STATCOM) to assist with the uninterrupted operation of a wind turbine driving a DFIG, which is connected to a power network, during grid faults. The control schemes of the DFIG rotor- and grid-side converters and the STATCOM are suitably designed and coordinated. The system is implemented in real-time on a real time digital simulator. Results show that the STATCOM improves the transient voltage stability and therefore …

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Fit Numerical Modeling For Emi Discovery And "Design", James L. Drewniak Jan 2008

Fit Numerical Modeling For Emi Discovery And "Design", James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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New Method For Approximating Vague Sets To Fuzzy Sets Based On Voting Model, Jian Liu, Zhizhan Liu, Shunxiang Wu, Yongjian Zhang Jan 2008

New Method For Approximating Vague Sets To Fuzzy Sets Based On Voting Model, Jian Liu, Zhizhan Liu, Shunxiang Wu, Yongjian Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

By analyzing Vague Sets voting model, we bring forth a new method for approximating Vague Sets to Fuzzy Sets, and its general process is presented in the article. In a voting model, firstly, we suppose that the abstainers must vote for once more, and the results are close studied. Then the randomicity, uncertainty, and conformity of voting are found. As we know, an abstainer may favor somebody, oppose somebody, or just abstain. In this article, we suppose the distribution of results is consistent with a normal distribution. So, we advance the new approximation method based on Gauss Distribution. © 2008 …

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A Closed Form Solution For Multiple-Input Spike Based Adaptive Filters, Il Park, António R.C. Paiva, José C. Príncipe, John G. Harris Dec 2007

A Closed Form Solution For Multiple-Input Spike Based Adaptive Filters, Il Park, António R.C. Paiva, José C. Príncipe, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process system has been studied mostly with single input. However, multiple input is required in many applications such as liquid state machines or neural prosthetics. We propose a simple multiple-input spike based adaptive filter which is based on an integrate-and-fire neuron model. The optimal closed solution is derived, and the performance is analyzed with respect to noise in various parameters and measurement. ©2007 IEEE.

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Neural-Network-Based Intelligent Control For Improving Dynamic Performance Of Facts Devices, Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy Dec 2007

Neural-Network-Based Intelligent Control For Improving Dynamic Performance Of Facts Devices, Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Flexible ac transmission system (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance and stability of power systems. the standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. However, at other operating points their performance degrades. Neural-network-Based nonlinear intelligent control offers an attractive approach to overcome the drawbacks of the linear controllers. This paper presents two different neural-network-Based intelligent control architectures, i.e., indirect adaptive NeuroControl and adaptive critic design based optimal NeuroControl, for designing the external control of an SSSC FACTS device. Simulation studies are …

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Novel And Efficient Download Test For Two Path Echo Canceller, Mohammad Asif Iqbal, Steven L. Grant Dec 2007

Novel And Efficient Download Test For Two Path Echo Canceller, Mohammad Asif Iqbal, Steven L. Grant

Electrical and Computer Engineering Faculty Research & Creative Works

The two-path echo cancellation technique is a popular method for handling the double-talk problem in acoustic and line echo cancellation applications. the method uses two filters. a so-called background adaptive filter adapts its coefficients to predict echo all or most of the time regardless of signal activity on the near end. a second foreground filter, that also predicts the echo, receives it coefficients from the background filter, but only when the background is performing better than the foreground. Only the foreground residual echo is sent to the far-end. so any background divergence due to double-talk is not observed by the …

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Collaborative Routing Algorithm For Wireless Sensor Network Longevity, Shishir Bashyal, Ganesh K. Venayagamoorthy Dec 2007

Collaborative Routing Algorithm For Wireless Sensor Network Longevity, Shishir Bashyal, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

This study proposes a new parameter for evaluating longevity of wireless sensor networks after showing that the existing parameters do not properly evaluate the performance of algorithms in increasing longevity. This study also proposes an ant inspired Collaborative Routing Algorithm for Wireless Sensor Network Longevity (CRAWL) that has scalability and adaptability features required in most wireless sensor networks. Using the proposed longevity metrics and implementing the algorithm in simulations, it is shown that CRAWL is much more adaptive to non-uniform distribution of available energy in sensor networks. The performance of CRAWL is compared to that of a non-collaborative algorithm. Both …

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