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Collaborative Localization in visual sensor networks

ACM TRANSACTIONS ON sensor networks 2014年第2期10卷 18-18页

作者： Karakaya, Mahmut Qi, Hairong Meliksah Univ Dept Elect & Elect Engn Talas Kayseri Turkey Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN USA

Collaboration in visual sensor networks is essential not only to compensate for the limitations of each sensor node but also to tolerate inaccurate information generated by faulty sensors. This article focuses on the design of a collaborative target localization algorithm that is resilient to sensor faults. We first develop a distributed solution to fault-tolerant target localization based on a so-called certainty map. To tolerate potential sensor faults, a voting mechanism is adopted and a threshold value needs to be specified which is the key to the realization of the distributed solution. Analytical study is conducted to derive the lower and upper bounds for the threshold such that the probability of faulty sensors negatively impacts the localization performance is less than a small value. Second, we focus on the detection and correction of one type of sensor faults, error in camera orientation. We construct a generative image model in each camera based on the detected target location to estimate camera's orientation, detect inaccuracies in camera orientations and correct them before they cascade. Based on results obtained from both simulation and real experiments, we show that the proposed method is effective in localization accuracy as well as fault detection and correction performance.

关键词： Algorithms Performance Theory Scene analysis sensor fusion target localization fault tolerance visual sensor networks

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A Distributed Rate-Control Approach to Reduce Communication Burdens in VSNs

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IEEE ACCESS 2023年 11卷 1011-1022页

作者： Eleuch, Salma Khouja, Nadia Milani, Simone Erseghe, Tomaso Tlili, Fethi Univ Carthage Higher Sch Commun Tunis SUPCOM GRESCOM Lab El Ghazala Ariana 2083 Tunisia Univ Padua Dipartimento Ingn Informaz Padua 35131 Italy

In visual sensor networks, the analyze-then-compress paradigm, where each camera process data and extract local features, is proved to be an efficient approach to reduce the amount of transmitted information. The bitrate can be further reduced by efficiently compressing the extracted features using a distributed feature coding technique. However, since the rate control is performed at the decoder, an abundant use of the feedback channel is needed to adjust the coding rate. Moreover, transmitting all extracted features, including irrelevant ones with no further contribution to the application accuracy, overloads the network. In this paper, we propose a novel feature selection and distributed coding rate control strategies that cope with these issues. The proposed strategies are designed to significantly reduce the transmitted bitrate and the communication burden with the sink, which implicitly reduces the energy consumption and the decoding delay. We show that, wisely selecting at the camera sensors level only the features effectively contributing to the application accuracy reduces the amount of transmitted information up to 34% while preserving accuracy. Furthermore, the cameras can collaborate periodically, by exchanging small amount of information about their selected features, to estimate the minimum transmission rate required for each feature based on a linear fitting model that takes into consideration the inter-camera correlation and the channel conditions. Significant average bitrate savings, reaching up to 37.71%, are achieved.

关键词： Feature extraction Cameras Encoding Decoding Correlation Bit rate visualization sensors Distributed feature coding rate control feature selection multi-view visual sensor networks

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An Improved Image Mosaicking Algorithm for visual sensor networks

An Improved Image Mosaicking Algorithm for Visual Sensor Net...

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2014 International Conference on Energy, Environment and Materials Engineering(EEME 2014)

作者： Yi-qin CAO Xiao-ci ZHOU Xiao-sheng HUANG School of Software East China Jiaotong University School of Information Engineering East China Jiaotong University

Aiming to the limited resources characteristic of visual sensor networks,the paper proposed an improved image mosaicking algorithm for visual sensor *** new algorithm firstly calculates the overlap region between images by strip search algorithm,which narrowed the registration search scope,and decreased the complexity of the ***,the algorithm performs image registration by block search method and the improved absolute difference value sum algorithm to improve the accuracy of image *** the end,the improved weighted fusion algorithm is used to achieve the seamless stitch of *** results demonstrate that our algorithm is simple and effective,and can obtain high-resolution images with wide field of view,and with lower energy consumption.

关键词： visual sensor networks Image mosaicking Strip searching Block searching

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Multifocus image fusion based on compressive sensing for visual sensor networks

Multifocus image fusion based on compressive sensing for vis...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Vahdat Kazemi Hadi Seyedarabi Ali Aghagolzadeh Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran University of Tabriz Tabriz East Azerbaijan IR Faculty of Electrical and Computer Engineering Babol University of Technology Babol Iran

ISBN: (纸本)9781479944088

In this paper, we present a new and efficient multifocus image fusion based on compressive sensing in visual sensor networks. The energy consumption and bandwidth are mean factor in visual sensor networks which determine the lifetime of sensors. Thus, for reducing the energy consumption and bandwidth in transmission; the proposed method uses compressive sensing for fusion of multifocus images. The experimental results show that the proposed approach can achieve a higher fusion quality than some exiting fusion schemes.

关键词： Multifocus image fusion Compressive sensing visual sensor networks Discrete wavelet transform

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Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks

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MULTIMEDIA TOOLS AND APPLICATIONS 2013年第3期64卷 549-579页

作者： Costa, Daniel G. Guedes, Luiz Affonso Univ Fed Rio Grande do Norte Dept Comp & Automat BR-59072970 Natal RN Brazil State Univ Feira de Santana Dept Technol BR-44036900 Feira De Santana BA Brazil

Wireless ad-hoc networks composed of resource-constrained camera-enabled sensors can provide visual information for a series of monitoring applications, enriching the understanding of the physical world. In many cases, source nodes may have different sensing relevancies for the monitoring functions of the applications, according to the importance of the visual information retrieved from the monitored field. As a direct result, high quality is only required for the most relevant information and, as it is expected that many visual monitoring applications can tolerate some quality loss in the data received from the least relevant source nodes, the network operation can be optimized exploiting this innovative concept. As a novel global QoS parameter, we envisage that the sensing relevancies of source nodes can be considered for a series of optimizations in different aspects of the wireless sensor network operation, achieving energy saving or assuring high quality transmission for the most relevant data. In this paper we discuss some approaches for the establishment of the sensing relevancies of the nodes and propose a protocol to support them. Moreover, we present two practical examples of optimizations based on the sensing relevancies of source nodes that transmit still images of the monitored field, addressing issues as energy-efficient data transmission and packet prioritization in intermediate nodes.

关键词： visual sensor networks Sensing relevance Network optimization Energy-efficiency Packet prioritization

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Lifetime improvement of visual sensor networks for target coverage through uniform energy consumption

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INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING 2013年第4期14卷 249-266页

作者： Hosseini, Mojtaba Dehghan, Mehdi Pedram, Hossein Amirkabir Univ Technol Comp Engn & Informat Technol Dept Tehran Iran

In this paper, a novel method is proposed for inducing uniformity in energy consumption across the entire network area. This method prolongs the durability of the target coverage task. Moreover, it is shown that the optimised selection of the sensors in each timeslot does not lead to an optimum selection across the lifetime of the network due to non-uniformity in energy consumption pattern. Uniformity control is achieved using the sensors' panning capability to select the sensing area. The major notion of energy uniformity in this paper is typified with the network area sections level. For this criterion, sensor selection has been modeled as a binary integer programming (BIP) problem, and optimal solutions have been obtained for both point target model and circular target model which are used in k-coverage and full-angle coverage, respectively. Furthermore, a distributed algorithm has also been proposed. Experimental results demonstrate that exerting uniformity control can significantly increase the lifetime of the network.

关键词： VSNs visual sensor networks directional sensor sensor selection sensor reconfiguration binary integer programming lifetime maximisation energy consumption uniformity k-coverage full angle coverage

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A Study on the Impact of Multiview Distributed Feature Coding on a Multicamera Vehicle Tracking System at Roundabouts

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IEEE ACCESS 2022年 10卷 39502-39517页

作者： Eleuch, Salma Khouja, Nadia Milani, Simone Erseghe, Tomaso Tlili, Fethi Univ Carthage Higher Sch Commun Tunis SUPCOM GRESCOM Lab Carthage 1054 Tunisia Univ Padua Dipartimento Ingn Informaz I-35131 Padua Italy

visual sensor networks are one potential enabler for the evolution of the Internet of things. Due to their limited resources in terms of energy and bandwidth, it is crucial to identify appropriate approaches that take into considerations such constraints and reduce the amount of data transmitted to the gathering point (sink). In this context, this paper describes the impact of a distributed smart-camera system that exploits an analyze-then-compress strategy, on a multi-view vehicle tracking at roundabouts application. In the tested system, part of the processing is shifted to the smart cameras, i.e., the object detection/classification and feature extraction, so that only the extracted features describing moving vehicles are transmitted instead of the whole image/video. Features are further compacted by using a state-of-the-art distributed coding technique, based upon an efficient clustering method that exploits the temporal and spatial (multiple views) correlations between features. The system is tested on a real-data scenario, by evaluating the bit-rate reduction capabilities in dependence of the channel conditions, as well as the matching accuracy of the reconstructed descriptors in the specific tracking application. Both feature-wise and object-wise matching are investigated. For the chosen application scenario, a bit-rate reduction of 30 - 35% is proved to be achievable in non-ideal channel conditions. Even more interestingly, such reduction is proved not to harm the matching accuracy (i.e., it is coherent with the target application), for which an F-score up to 0.923 is guaranteed.

关键词： Bit-rate reduction distributed feature coding feature matching multi-view resource allocation roundabouts smart city traffic monitoring vehicle tracking visual sensor networks

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Loss less Compression of Binary Image Descriptors for visual sensor networks

Loss less Compression of Binary Image Descriptors for Visual...

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18th International Conference on Digital Signal Processing (DSP)

作者： Ascenso, Joao Pereira, Fernando Inst Super Engn Lisboa Inst Telecomun Lisbon Portugal Inst Super Tecn Inst Telecommun Lisbon Portugal

ISBN: (纸本)9781467358057

Nowadays, visual sensor networks have emerged as an important research area for distributed signal processing, with unique challenges in terms of performance, complexity, and resource allocation. In visual sensor networks, the energy consumption must be kept low to extend the lifetime of each battery-operated camera node. Thus, considering the large amount of data that visual sensors can generate, all the sensing, processing, and transmission operations must be optimized considering strict energy constraints. In this paper, camera nodes sense the visual scene but instead of transmitting the pixel coded representation, which demands high computation and bandwidth, a compact but yet rich visual representation is created and transmitted. This representation consists of discriminative visual features offering tremendous potential for several image analysis tasks. From all low-level image features available, the novel class of binary features, very fast to compute and match, are well suited for visual sensor networks. In this paper, lossless compression of binary image features is proposed to further lower the energy and bandwidth requirements. The coding solution exploits the redundancy between descriptors of an image by sorting the descriptors and applying DPCM and arithmetic coding. Experimental results show improvements up to 32% in terms of bitrate savings without any impact in the final image retrieval task accuracy.

关键词： visual sensor networks feature coding binary features image retrieval

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An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless sensor networks Lifetime Utilization

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2020年第8期11卷 425-437页

作者： Abidoye, Ademola P. Ochola, Elisha O. Obagbuwa, Ibidun C. Govender, Desmond W. Cape Peninsula Univ Technol Dept Informat Technol Cape Town South Africa Univ South Africa Sch Comp Pretoria South Africa Univ KwaZulu Natal Dept Comp Sci Educ Pinetown South Africa

Wireless sensor networks (WSNs) are one of the most essential technologies in the 21st century due to their increase in various application areas and can be deployed in areas where cable and power supply are difficult to use. However, sensor nodes that form these networks are energy-constrained because they are powered by non-rechargeable small batteries. Thus, it is imperative to design a routing protocol that is energy efficient and reliable to extend network lifetime utilization. In this article, we propose an improved ant colony optimization algorithm: a technique for extending wireless sensor networks lifetime utilization called AMACO. We present a new clustering method to avoid the overhead that is usually involved during the election of cluster heads in the previous approaches and energy holes within the network. Moreover, fog computing is integrated into the scheme due to its ability to optimize the limited power source of WSNs and to scale up to the requirements of the Internet of Things applications. All the data packets received by the fog nodes are transmitted to the cloud for further analysis and storage. An improved ant colony optimization (ACO) algorithm is used to construct optimal paths between the cluster heads and fog nodes for a reliable end-to-end data packets delivery. The simulation results show that the network lifetime in AMACO increased by 22.0%, 30.7%, and 32.0% in comparison with EBAR, IACO-MS, and RRDLA before the first node dies (FND) respectively. It increased by 15.2%, 18.4%, and 33.5% in comparison with EBAR, IACO-MS, and RRDLA before half nodes die (HND) respectively. Finally, it increased by 28.2%, 24.9%, and 58.9% in comparison with EBAR, IACO-MS, and RRDLA before the last node dies (LND) respectively.

关键词： sensor nodes advanced nodes fog nodes data centre cloud computing ant colony optimization visual sensor networks

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Memory-efficient architecture for FrWF-based DWT of high-resolution images for IoMT applications

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MULTIMEDIA TOOLS AND APPLICATIONS 2021年第7期80卷 11177-11199页

作者： Tausif, Mohd Jain, Abhinandan Khan, Ekram Hasan, Mohd Univ Beira Interior Fac Engn Dept Informat Covilha Portugal MIT Mit Media Lab Cambridge MA USA Aligarh Muslim Univ ZH Coll Engg Dept Elect Engg Aligarh Uttar Pradesh India

This paper proposes a simple low memory architecture for computing discrete wavelet transform (DWT) of high-resolution (HR) images on low-cost memory-constrained sensor nodes used in visual sensor networks (VSN) or Internet of Multimedia Things (IoMT). The main feature of the proposed architecture is the novel data scanning technique that makes memory requirement independent of the image size. The proposed architecture needs only (30S) words of memory, where S is the number of parallel processing units and a critical path delay (CPD) equal to the delay of a multiplier (T-m). Furthermore, a multiplierless version of this architecture is also proposed which reduces the CPD to T-a

关键词： Discrete wavelet transform visual sensor networks High-resolution images Image coders Low memory architecture Internet of multimedia things

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