A Parallel and Distributed Computing Platform for Neural Networks Using Wireless Sensor Networks PDF Download

Author: Linqian Liu
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 168

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Book Description
Artificial neural network algorithms inherently possess fine-grain parallelism and offer the potential for fully distributed and local computation. A scalable hardware computing platform that can take advantage of such a massive parallelism and distributed computation attributes of artificial neural networks is considered to be well-poised to compute real-time solution of complex and large-scale problems. This thesis proposes a novel computing architecture for parallel and distributed computation where the hardware-software platform is the wireless sensor networks complete with its wireless protocol stack. More specifically, the proposed idea leverages the existing wireless sensor networks technology to serve as a hardware-software platform to implement and realize certain type of algorithms with fine-grain parallelism, such as those in the domain of artificial neural networks, in massively parallel and fully distributed mode. The research vision is to enable real time computation of solutions of large-scale and complex problems through the proposed parallel and distributed hardware realization of computational algorithms. The thesis defines the new parallel and distributed processing (PDP) and computing architecture and its application for artificial neural network computations. The underlying architectural principles, and structure of the proposed parallel and distributed computing platform are formulated and established. The proposed design is illustrated for feasibility through a simulation-based case study that leverages Kohonen's self-organizing map or SOM neural network on a number of different problem domains or data sets. The research study demonstrates mapping Kohonen's self-organizing map or SOM, configured for a set of domain specific problems, to the proposed PDP architecture. A comprehensive simulation study is conducted to assess the performance profile of and demonstrate the proposed computing architecture, with respect to feasibility. A wireless sensor network simulator (PROWLER) is employed for validation and performance assessment of the proposed computational framework. Three data sets, namely Alphanumeric or Text, Iris, and Wine, where each one differs in the number of attributes, instances, and clusters, are employed to profile the performance of the proposed computing platform. The simulation results are compared with those from the literature and through the MATLAB SOM toolbox. Comparative performance analysis suggests that the proposed computing platform is feasible and promising. The proposed design has potentially much wider applicability for problems with inherent fine-grain parallelism in various domains where mathematics-based problem-solving methodology is not applicable due to lack of a closed-form model for the process or system. Solving complex and very large-scale problems in real time is likely to have radical and ground-breaking impact on the entire spectrum of scientific, technological, economic and industrial endeavors enabling many solutions that were simply not feasible.

Author: Jong Hyuk Park
Publisher: Springer
ISBN: 9811359075
Category : Computers
Languages : en
Pages : 484

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Book Description
This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018. The 35 revised full papers presented along with the 14 short papers and were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.

Author: Jiakai Li
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 331

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Book Description
This dissertation research proposes embedding artificial neural networks into wireless sensor networks in parallel and distributed processing framework to implant intelligence for in-network processing, wireless protocol or application support, and infusion of adaptation capabilities. The goal is to develop in-network "intelligent computation" and "adaptation" capability for wireless sensor networks to improve their functionality, utility and survival aspects. The characteristics of wireless sensor networks bring many challenges, such as the ultra large number of sensor nodes, complex dynamics of network operation, changing topology structure, and the most importantly, the limited resources including power, computation, storage, and communication capability. All these require the applications and protocols running on wireless sensor network to be not only energy-efficient, scalable and robust, but also "adapt" to changing environment or context, and application scope and focus among others, and demonstrate intelligent behavior. The expectation from the research endeavor is to introduce computational intelligence capability for the wireless sensor networks to become adaptive to changes within a variety of operational contexts and to exhibit intelligent behavior. The proposed novel approach entails embedding a wireless sensor network with an artificial neural network algorithm while preserving the parallelism and distributed nature of computations associated with the neural network algorithm. The procedure of embedding an artificial neural network, which may be configured for a problem either at wireless protocol or application levels, into the wireless sensor network hardware platform, which is a parallel and distributed processing system that is composed of a network of motes, is defined. This procedure is demonstrated for a case study with a Hopfield neural network and a minimum weakly connected dominating set problem as the model of wireless sensor network backbone or infrastructure. Issues and challenges pertaining to scalability, solution quality, and computational complexity for time and message are addressed through a comprehensive simulation study. Simulation study is performed using the TOSSIM environment for wireless sensor networks with mote counts up to 1000. A comparative performance evaluation is performed. Solution quality, time and message complexity results for other centralized and distributed algorithms for connected dominating set construction as reported in the literature are used. Additionally, in-house simulation of non-distributed version of the proposed model is implemented to serve as a comparison benchmark and link to the studies in the literature. It is determined through the simulation study that the most critical factors that affect both the time complexity and the message complexity are the network size and time interval. The normalized computation time increases somewhat linearly for the most part for increases in the mote count the exception of the time interval value of 0.1 sec. The message complexity also increases with the increase in the mote count. The message complexity is not sensitive to the radio range but very sensitive to the time interval. All other parameters kept constant, the message complexity decreases with the increase in the time interval value on a consistent basis for all mote counts simulated. For smaller values of time interval, the network is more active due to motes waking up and exchanging messages more frequently, which leads to increased message complexity. The solution quality as measured by the size of the weakly connected dominating set by the proposed model is competitive with the performance exhibited by other algorithms reported in literature given all the adverse effects of computation being realized on a wireless sensor network platform. In light of the fact that there is significant opportunity to improve the entire wireless protocol stack for drastically reducing the time and space complexities through more efficient MAC, time synchronization and routing protocols, there is a strong prospect for the proposed architecture to scale up to tens of thousands of motes.

Author: Sigeru Omatu
Publisher: Springer
ISBN: 3642024815
Category : Computers
Languages : en
Pages : 1353

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Book Description
This volume (II) contains all publications accepted for the symposiums and workshops held in parallel with the 10th International Work-Conference on Artificial Neural Networks (IWANN 2009), covering a wide spectrum of technological areas such as distributed computing, artificial intelligence, bioinformatics, soft computing and ambient-assisted living: • DCAI 2009 (International Symposium on Distributed Computing and Artificial Intelligence), covering artificial intelligence and its applications in distributed environments, such as the Internet, electronic commerce, mobile communi- tions, wireless devices, distributed computing, and so on. This event accepted a total of 96 submissions selected from a submission pool of 157 papers, from 12 different countries. • IWAAL 2009 (International Workshop of Ambient-Assisted Living), covering solutions aimed at increasing the quality of life, safety and health problems of elderly and disabled people by means of technology. This event accepted a - tal of 42 submissions selected from a submission pool of 78 papers, from 9 d- ferent countries. • IWPACBB 2009 (Third International Workshop on Practical Applications of Computational Biology and Bioinformatics), covering computational biology and bioinformatics as a possibility for knowledge discovery, modelling and - timization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be p- dicted. This event accepted a total of 39 submissions selected from a subm- sion pool of 75 papers, from 6 different countries.

Author: Zhenning Gao
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 243

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Book Description
This thesis presents a study on implementing the multilayer perceptron neural network on the wireless sensor network in a parallel and distributed way. We take advantage of the topological resemblance between the multilayer perceptron and wireless sensor network. A single neuron in the multilayer perceptron neural network is implemented on a wireless sensor node, and the connections between neurons are achieved by the wireless links between nodes. While the computation of the multilayer perceptron benefits from the massive parallelism and the fully distribution when the wireless sensor network is serving as the hardware platform, it is still unknown whether the delay and drop phenomena for message packets carrying neuron outputs would prohibit the multilayer perceptron from getting a decent performance. A simulation-based empirical study is conducted to assess the performance profile of the multilayer perceptron on a number of different problems. Simulation study is performed using a simulator which is developed in-house for the unique requirements of the study proposed herein. The simulator only simulates the major effects of wireless sensor network operation which influence the running of multilayer perceptron. A model for delay and drop in wireless sensor network is proposed for creating the simulator. The setting of the simulation is well defined. Back-Propagation with Momentum learning is employed as the learning algorithms for the neural network. A formula for the number of neurons in the hidden layer neuron is chosen by empirical study. The simulation is done under different network topology and condition of delay and drop for the wireless sensor network. Seven data sets, namely Iris, Wine, Ionosphere, Dermatology, Handwritten Numerical, Isolet and Gisette, with the attributes counts up to 5000 and instances counts up to 7797 are employed to profile the performance. The simulation results are compared with those from the literature and through the non-distributed multilayer perceptron. Comparative performance evaluation suggests that the performance of multilayer perceptron using wireless sensor network as the hardware platform is comparable with other machine learning algorithms and as good as the non-distributed multilayer perceptron. The time and message complexity have been analyzed and it shows the scalability of the proposed method is promising.

Author: Dr. Pooja Singh
Publisher: Shineeks Publishers
ISBN: 163278940X
Category : Education
Languages : en
Pages : 130

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Book Description
The current progress in Wireless Sensor Network has taken to various new protocols formed especially for sensor networks in where the energy awareness is a necessary deliberation. Wireless Sensor Network is highly accessible for significant applications namely surveillance of security and environmental monitoring. The researchers all over the world are investigating about the most important parameter of wireless sensor network i.e. Energy. The main emphasis is given over the efficiency of energy as the energy saved by the wireless sensor network is less and the consumption of energy is high and this is the main reason behind the lifetime network depletion at a fast pace. There in the sensor nodes one more challenge is exhibited that is of the limited power capacity, so for the same the battery should be either charged or changed as there are several functions which are to be performed by the energy of the sensor nodes being aggregation, sensing and transmission of data and on board processing. Majorly, the energy is consumed by the wireless data transmission among the nodes and more energy is consumed as compared to the other sensing and processing operations of data. The high energy is consumed because the data is transmitted over a large distance as the nodes are located far from each other. Further, the collision, overhearing and idle listening of the nodes are the major reasons behind the high wastage of energy during the transmission and the communication of data. There are several applications, in which the nodes are disregarded, and thus worsening the failure of nodes and enhancing the problem of high energy consumption. The success of the application is dependent over the network lifetime and the exchange or the recharging of the batteries is costly as well as not feasible. Therefore, the attention of the researchers is seeking towards usage and the consumption of the energy. Further, the development of such energy efficient network should be done which should cover and provide solution for all the above mentioned challenges so that the utility of the wireless sensor networks is enhanced in the applications related to it. The main intention of this study and book is to investigate in detail about the concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Significance of the Book: This book convers and discusses about previous studies carried out in the area of data fusion and the crucial issue in energy reduction of the sensor modes during the data fusion. The main objectives of this book a) To analyze the energy aware routing protocol in wireless sensor network; b) To examine the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network.; c) To analyze the routing protocol enhancement by applying data fusion technique; d)To explore the routing protocol enhancement by applying data fusion technique; e)To propose an algorithm to integrate data fusion technique to enhance the consumption of energy. This book study is constrained to wireless sensor networks and limited to data fusion technique. However, this book study evaluates the concept of “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Finally, this book considers a novel network organization scheme, energy-efficient Self organizing Map (K-SOM) Feed forward scheme, to organize sensor nodes into clusters with Data-Fusion. Also, it proposes a Energy aware routing algorithm, called “Artificial Intelligence Based Energy Aware Routing Protocol (AIEARP) for Wireless Sensor Network, for elevating sensor network lifetime. This book also shows the Experimental results for out-performs interims of network lifetime with dead nodes at different iteration and energy conservation with its energy consumption among the cluster heads. The following is an overview of the contents of the chapter, which presented in this Book. Chapter 1: Introduction of the EARP in WSN This chapter provides the vital idea about the research concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” including the research background, problem statement, aims and objectives of the study, research questions, significance of the study and limitations of the research. Chapter 2: Literature Review This chapter examines several works related to the conceptual framework model for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. In addition to these, this research explains in detail about the energy aware routing protocol in wireless sensor network. Apart from these, this research explains about the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network. At last, this literature review chapter discusses about the routing protocol enhancement by applying data fusion technique and the routing protocol enhancement by applying data fusion technique. In addition to these, this research provides framework for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 3: Research design This chapter provides an overview about the intelligent energy aware routing protocol using data fusion technique in wireless sensor networks. This chapter explains about the steps to be followed in the developed method. Chapter 4: Result analysis in term of intelligent energy aware protocol This chapter discusses about the analysis of implementation of proposed framework “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 5: Conclusion & Future enhancement This chapter explains about the summary of findings obtained through the analysis and results section and also gives conclusion to the research “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” followed by suggestions and recommendations for the future research. Bibliography: This section lists all works of interest, including those mentioned in the text.

Author: Leonard Barolli
Publisher: Springer Nature
ISBN: 3030335097
Category : Technology & Engineering
Languages : en
Pages : 963

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Book Description
This book presents the latest research findings, innovative research results, methods and development techniques related to P2P, grid, cloud and Internet computing from both theoretical and practical perspectives. It also reveals the synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid computing originated as a paradigm for high-performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client–server and web-based computing and has proved useful in the development of social networking, B2B (business to business), B2C (business to consumer), B2G (business to government), and B2E (business to employee). Cloud computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits,” and it has fast become a computing paradigm with applicability and adoption in all application domains and which provides utility computing at a large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigms; it has developed into a vast area of flourishing fields with enormous impact on today’s information societies, and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.

Author: D.J. Hemanth
Publisher: IOS Press
ISBN: 1643682199
Category : Computers
Languages : en
Pages : 450

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Book Description
Recent developments in parallel computing mean that the use of machine learning techniques and intelligence to handle the huge volume of available data have brought the faster solutions offered by advanced technologies to various fields of application. This book presents the proceedings of the Virtual International Conference on Advances in Parallel Computing Technologies and Applications (ICAPTA 2021), hosted in Justice Basheer Ahmed Sayeed College for women (formerly "S.I.E.T Women's College"), Chennai, India, and held online as a virtual event on 15 and 16 April 2021. The aim of the conference was to provide a forum for sharing knowledge in various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It also provided a platform for scientists, researchers, practitioners and academicians to present and discuss the most recent innovations and trends, as well as the concerns and practical challenges encountered in this field. Included here are 52 full length papers, selected from over 100 submissions based on the reviews and comments of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of the latest developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.

Author: Elena Gaura
Publisher: Springer Science & Business Media
ISBN: 1441958347
Category : Technology & Engineering
Languages : en
Pages : 301

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Book Description
The twentieth century ended with the vision of smart dust: a network of wirelessly connected devices whose size would match that of a dust particle, each one a se- containedpackageequippedwithsensing,computation,communication,andpower. Smart dust held the promise to bridge the physical and digital worlds in the most unobtrusive manner, blending together realms that were previously considered well separated. Applications involved scattering hundreds, or even thousands, of smart dust devices to monitor various environmental quantities in scenarios ranging from habitat monitoring to disaster management. The devices were envisioned to se- organize to accomplish their task in the most ef?cient way. As such, smart dust would become a powerful tool, assisting the daily activities of scientists and en- neers in a wide range of disparate disciplines. Wireless sensor networks (WSNs), as we know them today, are the most no- worthy attempt at implementing the smart dust vision. In the last decade, this ?eld has seen a fast-growing investment from both academia and industry. Signi?cant ?nancial resources and manpower have gone into making the smart dust vision a reality through WSNs. Yet, we still cannot claim complete success. At present, only specialist computerscientists or computerengineershave the necessary background to walk the road from conception to a ?nal, deployed, and running WSN system.

Author: Udoh, Emmanuel
Publisher: IGI Global
ISBN: 1466620668
Category : Computers
Languages : en
Pages : 393

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Book Description
"This book provides insight into the current trends and emerging issues by investigating grid and cloud evolution, workflow management, and the impact new computing systems have on the education fields as well as the industries"--Provided by publisher.