Index termscompressed sensing, data compression, data aggregation, distributed source coding, slepianwolf theorem, wavelet transformation, wireless sensor networks. This thesis deals with video processing and communication in these types. Authors address many of the key challenges faced in the design, analysis and deployment of wireless sensor networks. Wsns is local computations performed for video compression and not video transmission. Computer and communication networks, second edition book. We then present a new data compression scheme, called espiht, that exploits. Computer and communication networks, second edition, explains the modern technologies of networking and communications, preparing you to analyze and simulate complex networks, and to design costeffective networks for emerging requirements. Many wsn applications aim at longterm environmental monitoring. Video compressive sensing for spatial multiplexing cameras. Distributed wireless sensor networks is a collection of embedded sensor devices with networking capabilities. Practical data compression in wireless sensor networks. Wireless video sensor network and its applications in. Optimization of power allocation in multimedia wireless sensor networks. Introduction to wireless sensor networks types and applications.
Energy efficient video compression for wireless sensor. Wireless video sensor networks wvsn are energy constrained systems where deployed video nodes are capable of capturing the visual scene, performing local processing such as video compression. Computer and communication networks provides an effective blend of theory and implementation not found in other books. He has authored over 300 journal and conference publications, book chapters, and contributions to standards. Network architectures and protocol stack 19 jun zheng 2. International journal of distributed sensor networks sage. Huu p, tranquang v and miyoshi t 2012 video compression schemes using edge feature on wireless video sensor networks, journal of electrical and computer engineering, 2012, 2727, online publication date. It introduces in a tutorial style the principles of sensing and signal processing, and also describes topics such as wireless connection to the internet of things iot which is expected.
Distributed wireless sensor networks is a collection of embedded sensor devices with networking. A novel energy prediction model for solar and wind. A wireless sensor network w sn is a distributed network and it comprises a large. Ratedistortion balanced data compression for wireless sensor. Center for research in wireless mobility and networking crewman august 1, 2011 j. Compression and sensing rate for wireless rechargeable sensor networks.
Powtoon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch. In wireless sensor network applications, an event is observed by a group of spatially. Together, these technologies have combined to enable a new generation of wsns that differ greatly from wireless networks developed. This paper puts forward a lowcomplexity video compression algorithm that uses the edges of objects in the frames to estimate and compensate for motion. Wireless sensor networks is an essential textbook for advanced students on courses in wireless communications, networking and computer science. As the number and variety of communication services grow, so do the challenges of designing costeffective networks that meet the requirements of emerging technologies in wireless, sensor, and mesh networks. Included is coverage of lowcost sensor devices equipped with wireless interfaces, sensor network protocols for large scale sensor networks, data storage and compression techniques, security architectures and mechanisms, and many practical applications that relate to use in environmental, military, medical, industrial and home networks. Due to the limited energy on nodes in wireless sensor networks wsns, many data compression algorithms had been proposed for energy saving. See lindsey, sivalingam, and raghavendra book chapter in wiley handbook of mobile computing. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, networkbased detection and tracking, and applications in distributed and collaborative methods in camera networks.
The design of sustainable wireless sensor networks wsns is a very challenging issue. Compressive sensing for wireless networks by zhu han. The main features of the algorithm are to use the edges of objects in the frames and arithmetic coding to find and compress motion regions. This chapter presents an overview of multimedia information transmission over wireless sensor networks wsns. Distributed image compression architecture over wireless. Oct 04, 2015 powtoon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume. In this book chapter we present the complete digital zoo system. Energy efficient video compression for wireless sensor networks. Wireless sensor networks technology and protocols intechopen. Compression techniques for wireless sensor networks. In these largescale sensing networks, data compression is required for encoding the data collected from sensors into fewer bits, and hence reducing energy and bandwidth consumption. Efficient motion estimation algorithm using edge feature.
Computer and communication networks is the first book to offer balanced coverage of all these topics using extensive case studies and examples. Introduction to wireless sensor networks types and. Introduction due to their ease of deployment and dynamically configurable nature, wireless video sensor networks are now becoming increasingly popular 1, 2. Wireless sensor networks presents a comprehensive and tightly organized compilation of chapters that surveys many of the exciting research developments taking place in this field. Wireless video sensors networks wvsns generally suffer from the constraint that their sensor nodes must consume very little power. Optical transmission provides extremely high antenna gain, which produces. Pervasive computing 1 data compression techniques in wireless. The onboard sensors then start collecting acoustic, seismic, infrared or magnetic information about the environment, using either continuous or event driven working modes. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks. Multimedia transmission over wireless sensor networks. Computer and communication networks is the first book to offer balanced coverage of all these topics using extensive case studies and.
Energy conservation is a critical issue in wireless sensor networks since sensor nodes are powered by battery. Pervasive computing 1 data compression techniques in. Wsns should be able to transmit video traffic flows using an appropriate video compression algorithm. The work in 20 takes advantage of high spatial correlation of observation retrieved from proximal video sensor to process innetwork video. Protocols and architectures for wireless sensor networks provides a thorough description of the most important issues and questions that have to be addressed in a wireless sensor network. This paper investigates a video compression algorithm for wireless video sensor networks wvsns. Pervasive computing 1 data compression techniques in wireless sensor networks youchiun wang abstractwireless sensor networks wsns open a new research. Each sensor node is a small, wireless device that can. In addition to analysing the problems of client heterogeneity and the absence of. Energy efficient data compression in wireless sensor networks. Manets have high degree of mobility, while sensor networks are mostly stationary. Wsn nodes have less power, computation and communication compared to manet nodes. Therefore, compression efficiency of interframe coding mode is very high at the.
Based on the algorithm, we propose a scheme that balances energy consumption among nodes in a cluster on a wvsn. Wireless sensor networks will revolutionise applications such as environmental monitoring, home automation, and logistics. However, the computational burdens of the intended compression algorithms must be. Based on the proposed algorithm, two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network wvsn are proposed. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Muttimedia wireless sensor networks have been proposed to enable tracking and monitoring of events in the form of multimedia, such as imaging, video, and audio. The first book of its kind to thoroughly explain both software defined networking and informationcentric networking. Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Protocols and architectures for wireless sensor networks. These nodes are interconnected with each other over a wireless connection for data compression. Computer and communication networks, 2nd edition informit. Offering uniquely balanced coverage of basic and advanced topics, it teaches through case studies, realistic examples and.
His research interests include image, video and 3d graphics coding, distributed visual processing, 3d graphics, multimedia transmission over networks, and statistical modeling. International journal of distributed sensor networks. Compression techniques for wireless sensor networks springerlink. Wireless sensor networks to improve road monitoring intechopen. A clear insight into the basics of compressed sensing a thorough exploration of applying cs to audio, image and computer vision different dimensions of applying cs in cognitive radio networks cs in wireless sensor network for spatial compression and projection. This overview summarizes the multiple applications of wireless sensor networks, then discusses network device design and the requirements that foster the successful. Wireless sensor networks wsn have been widely applied in monitoring and surveillance fields in recent years and have dramatically changed the methodologies. Hamid aghajan is a professor of electrical engineering consulting at stanford university. The aim of this book is to present few important issues of wsns, from the application, design and technology points of view. These networks consist of lowcost sensor nodes equipped with micrpphones and cameras. It describes the fundamental concepts and practical aspects of wireless sensor networks and addresses challenges faced in their design, analysis and deployment.
In these schemes, we divide the compression process into several small processing. Application of compressive sensing techniques in distributed. Ratedistortion balanced data compression for wireless. In a wireless multimedia sensor network wmsn, the minimization of network. Data compression encodes information in such a way that the number. Compressedsensingenabled video streaming for wireless. As radio communications is the main source of energy consumption, reducing transmission overhead would be extended the sensor node lifetime. Wireless sensor networks technology and applications. To adapt codebook technique to a sensor node, three.
To make sense of and take advantage of these systems, a holistic approach is neededand this is precisely what wireless sensor networks delivers. Recent advances insemiconductor, networking and material science technologies are driving the ubiquitous deployment of largescale wireless sensor networks wsns. Recently, wireless video sensor networks wvsn and their. Motivated by the success of wsns and also with the emergence of new technology in the form of lowcost image sensors, researchers have proposed combining image and audio sensors with wsns to form wireless multimedia sensor networks wmsns. Architectures and protocols describes how to build these networks, from the layers of the communication protocol through the design of network nodes. Selection from computer and communication networks, second edition book. A large number of important applications depend on sensor networks interfacing with the real world. Data compression technique for wireless sensor networks. Analysis compression aggregation fusion configuration management coordination communication with the external networks. It is believed that the book will serve as a comprehensive reference for graduate and undergraduate senior students who.
Compressive sensing for wireless communication provides. Compressedsensingenabled video streaming for wireless multimedia sensor networks scott pudlewski, tommaso melodia, arvind prasanna department of electrical engineering state university of new york suny at buffalo email. Theory and applications of smart cameras springer for. We then present a new data compression scheme, called espiht, that exploits this spatiotemporal correlation present in sensor networks to reduce the amount of data bits transmitted in a collaborative signal. Energyaware control of data compression and sensing. Purchase industrial wireless sensor networks 1st edition.
Efficient motion estimation algorithm using edge feature and. Image compression algorithms in wireless multimedia sensor. Network architecture books are often criticized for not offering enough practical, scenariobased information. Wireless multimedia sensor networks on reconfigurable. Cmos camera and a microphone, to capture images, video, or audio, which. In this mesh topology, sensor nodes must not only capture and disseminate their own data, but also serve as relays for other sensor nodes, that is, they must collaborate to propagate sensor data towards the base station. Feb 08, 2014 system verilog tutorial pdf book free download, system verilog tutorial, system verilog tutorial pdf, pdf book free download, system verilog tutorial. Wireless rechargeable sensor nodes can collect additional data, which leads to an. Traditional wireless sensor networks wsns capture scalar data such as temperature, vibration, pressure, or humidity. Video compression schemes using edge feature on wireless. This book explores both the stateoftheart and the latest developments in wireless sensor networks technology. Wireless sensor networks may be considered a subset of mobile adhoc networks manet.
This essential reference begins by providing a solid foundation in tcpip schemes, wireless networking, internet applications, and network security. It will also be of interest to researchers, system and chip designers, network planners, technical mangers and other professionals in these fields. Unlike classical wired networks and wireless sensor networks, wmsn differs. Adaptive internetbased distribution examines how current video compression and streaming can be used to deliver highquality applications over the internet. System verilog tutorial pdf book free download, system verilog tutorial, system verilog tutorial pdf, pdf book free download, system verilog tutorial. Wireless sensor networks combine current research trends from a number. Distributed video coding for wireless video sensor networks. The book highlights power efficient design issues related to wireless sensor networks, the existing wsn applications, and discusses the research efforts being undertaken in this field which put the reader in good pace to be able to understand more advanced research and. Computer and communication networks paperback informit. This vector compared against code words in the code book at encoder side. Optimization of power allocation in multimedia wireless.
399 1557 1108 1379 1544 213 1307 512 423 1370 1311 250 410 1234 1077 1655 1451 362 654 553 1508 259 652 547 105 1419 708 28 20 934 401 295 1219 799 452 79 677 195 1207 281 460 88 684 537 796 604 1378