Relevant bibliographies by topics / Wireless networks of information transmission

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wireless networks of information transmission'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Wireless networks of information transmission"

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Gao, Zhan, Qing Bo Zhu, and Chun Mei Wei. "Complex Wireless Sensor Network Routing Strategy for Information Rapid Transmission." Advanced Materials Research 1037 (October 2014): 201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.201.

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For wireless sensor networks for energy requirements are very high and limited node energy characteristics of wireless sensor networks to improve information transfer for the purpose of quick study proposes a wireless sensor network nodes spread weighted routing strategy. The simulation result were weighted node degree technical analysis, analysis of the advantages from the principle of routing policy change, thereby effectively increasing the network lifetime and improve the data transfer rate and reduce the transmission delay, is more suitable for large-scale wireless sensor network.
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Zhao, Ke, Long Fei Xiao, Ya Long Hu, and Zhong Wang. "Based on the Research of WSN in Information Security Technology." Applied Mechanics and Materials 556-562 (May 2014): 5976–78. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5976.

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With the advance of technology, people is more and more nervous to security threats posed by wireless sensor. Therefore, Based on security technology, this paper puts forward a suitable for the safety management unit used in wireless sensor network, And the provisions of its agreement, authentication methods and security processing methods, making wireless sensor networks can transmit user information in a secure environment, while simulation analysis the affect design module on date security transmission, when the wireless sensor networks have security management unit, it will a better, more reliable transmission environments.
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Hadi, Teeb Hussein. "Types of Attacks in Wireless Communication Networks." Webology 19, no. 1 (January 20, 2022): 718–28. http://dx.doi.org/10.14704/web/v19i1/web19051.

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One of the most important types that used to transfer data between nodes without using wires is a “wireless communication network”, where the transmission of data is censored remotely by using electromagnetic waves such as radio waves that usually implemented in the physical layer of the network. Continuous improvements in wireless network technology have reduced the security and speed differences between types of networks (wired and wireless), but in turn, increased security threats to wirelessly transmitted data. Wireless networks are weak in terms of "privacy protection" because anyone who is within the coverage area of a wireless network can attempt to break into that network. Hacking incidents have been reported frequently in places with shared free networks, and it has been observed that the places of open distributed networks of the Internet are most at risk of complete penetration of your phone or PC data. To solve this problem, several programs have been developed that provide protection for wireless networks that differ in terms of security. Some of them did not provide sufficient protection for wireless networks, such as Wired Equivalent Privacy (WEP), and others made progress in preventing intrusions compared to their predecessors, such as Wi-Fi Protected Access (WPA).
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Sang, Lei, and Duo Long. "A Study on Routing Protocol of Wireless Sensor Network." Applied Mechanics and Materials 341-342 (July 2013): 1116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.1116.

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Wireless sensor network is one of the supporting technologies of the Internet of Things, composed of both communication ability and wireless sensors with limited power, WSN is responsible for sensing information and transmission of stub networks. On the basis of analyzing the reason for generating uncertain information such as information fusion and random load in wireless sensor networks, transmission model is the emphasis of research and design. Besides this, a multiple-path routing protocol with minimum transmission is put forward.
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Zhao, Yuxin, Shenghong Li, and Jia Hou. "Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/828493.

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A core factor to consider when designing wireless sensor networks is the reliable and efficient transmission of massive data from source to destination. In practical situations, data transmission is often disrupted by link interference and interruption resulting in the data losses. Link quality prediction is an important approach to solve this problem. By estimating the link quality based on the past knowledge and information, link quality prediction is essential for routing decisions of future data transmission. Traditional link quality prediction algorithms are simply based on the statistical information of the links in the wireless sensor network. By introducing complex network theory and machine learning techniques, we propose a neighborhood-based nonnegative matrix factorization model to predict link quality in wireless sensor networks. Our model learns latent features of the nodes from the information of past data transmissions combing with local neighborhood structures of the underlying network topology and then estimates the link quality depending on the common latent features of the two nodes between the link. Extensive experiments on both real-world networks and simulation networks demonstrate the effectiveness and efficiency of our proposed model.
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Kunimoto, Rimpei, and Hiroyuki Hisamatsu. "Energy Efficient and High Dissemination Rate Method Considering Extended Transmission Distances on a Wireless Sensor Network." Journal of Advances in Computer Networks 9, no. 1 (2021): 1–7. http://dx.doi.org/10.18178/jacn.2021.9.1.279.

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From the electric power consumed by sensor nodes comprising a wireless sensor network, a very large proportion is used to transmit and receive information wirelessly. Because most sensor nodes are battery-powered, long-term operation requires unnecessary wireless transmission to be minimized. There is currently insufficient research on cases involving increased wireless transmission distance and the accompanying increased power consumption. This paper proposes a new, effective method for information dissemination in situations with increased wireless transmission distances. The proposed method is able to minimize power consumption by not performing transmission if the message is considered already disseminated. Additionally, with increased wireless transmission distance, the number of instances of cancelled message transmission increases, further reducing the transmission and reception loads. Simulations demonstrated that the proposed method is effective at keeping power consumption increases to a minimum while greatly improving information dissemination rates, even in cases with increased transmission distances. Unlike the existing methods, the proposed method can improve dissemination rates without increasing power consumption in sensor networks, making it highly innovative and effective.
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Jurenoks, Aleksejs, and Leonids Novickis. "Wireless sensor networks lifetime assessment model development." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 16, 2015): 121. http://dx.doi.org/10.17770/etr2015vol3.508.

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<p class="R-AbstractKeywords"><span lang="EN-US">In the recent years low power computing systems have gained popularity. Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks, which main task is to get the information from sensors and transmission network. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of network is discussed. The approaches in detection of life circle pertaining to the important network nodes are described.</span></p>
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Rath, Mamata, Bibudhendu Pati, and Binod Kumar Pattanayak. "Manifold Surveillance Issues in Wireless Network and the Secured Protocol." International Journal of Information Security and Privacy 14, no. 1 (January 2020): 16–26. http://dx.doi.org/10.4018/ijisp.2020010102.

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With rapid growth of internet users and frequently emerging communication technology, the issues of using web as a worldwide platform and the requirement to design the smart applications to coordinate, discuss, register, and outline gradually emerges. Information transmission through a wireless network involves the radio signals, the arrangement of information packets, and the network topology. As each segment is correlated to each other, it is very essential to employ security mechanism in these components and real security control must be connected on them. Thus, security plays a critical factor in wireless network. This article highlights security issues in current wireless networks such as mobile ad-hoc network and IoT-supported networks and it also proposes a security-based S-RAID protocol design for security control in cluster based wireless networks. Simulation results show proficiency and better transmission rate of the proposal when it was compared with other similar approaches.
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Ye, Qian, Meng Wu, and Yu Fei Wang. "A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks." Applied Mechanics and Materials 511-512 (February 2014): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.120.

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QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.
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Liang, Xiurong, and You Qian. "Energy Balance Routing Protocol for Wireless Sensor Networks Based on Fuzzy Control Strategy." Wireless Communications and Mobile Computing 2022 (May 27, 2022): 1–12. http://dx.doi.org/10.1155/2022/4597992.

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The existing routing protocols for wireless sensor networks were not reasonable in design, which limited their application. Most of the existing studies did not take into account the energy consumption of the network and the balanced use of the energy of sensor nodes, which led to the unsatisfactory application effect of wireless sensor networks in some fields. Therefore, from the perspective of energy balance in wireless sensor networks, this paper proposed a construction method of an energy balance routing protocol in wireless sensor networks based on a fuzzy control strategy. Firstly, based on the analysis of the basic composition of wireless sensor networks and the structure of sensor nodes, this paper expounded the basic process of wireless data transmission and summarized the classification and characteristics of routing protocols in wireless sensor networks from different angles. Secondly, according to the node data transmission characteristics of wireless sensor networks, the energy balance use model of sensor nodes was established, and the design method of the energy balance routing protocol based on fuzzy control strategy was proposed, and the data transmission link was optimized. Finally, through experimental comparative analysis, the results showed that the energy balanced routing protocol proposed in this paper can effectively realize the energy balanced use of the network data transmission process. Compared with other common routing protocols, the wireless sensor network routing protocol proposed in this paper can not only improve the data transmission efficiency and reduce the data redundancy but also save energy consumption and prolong the network running time. The design method of routing protocol proposed in this paper will be conducive to the optimization and application of routing protocol in wireless sensor networks and provide a theoretical basis for the related research of wireless sensor networks.
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Dissertations / Theses on the topic "Wireless networks of information transmission"

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Ngo, Minh Hanh. "Cross-layer adaptive transmission scheduling in wireless networks." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/432.

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A new promising approach for wireless network optimization is from a cross-layer perspective. This thesis focuses on exploiting channel state information (CSI) from the physical layer for optimal transmission scheduling at the medium access control (MAC) layer. The first part of the thesis considers exploiting CSI via a distributed channel-aware MAC protocol. The MAC protocol is analysed using a centralized design approach and a non-cooperative game theoretic approach. Structural results are obtained and provably convergent stochastic approximation algorithms that can estimate the optimal transmission policies are proposed. Especially, in the game theoretic MAC formulation, it is proved that the best response transmission policies are threshold in the channel state and there exists a Nash equilibrium at which every user deploys a threshold transmission policy. This threshold result leads to a particularly efficient stochastic-approximation-based adaptive learning algorithm and a simple distributed implementation of the MAC protocol. Simulations show that the channel-aware MAC protocols result in system throughputs that increase with the number of users. The thesis also considers opportunistic transmission scheduling from the perspective of a single user using Markov Decision Process (MDP) approaches. Both channel state in-formation and channel memory are exploited for opportunistic transmission. First, a finite horizon MDP transmission scheduling problem is considered. The finite horizon formulation is suitable for short-term delay constraints. It is proved for the finite horizon opportunistic transmission scheduling problem that the optimal transmission policy is threshold in the buffer occupancy state and the transmission time. This two-dimensional threshold structure substantially reduces the computational complexity required to compute and implement the optimal policy. Second, the opportunistic transmission scheduling problem is formulated as an infinite horizon average cost MDP with a constraint on the average waiting cost. An advantage of the infinite horizon formulation is that the optimal policy is stationary. Using the Lagrange dynamic programming theory and the super modularity method, it is proved that the stationary optimal transmission scheduling policy is a randomized mixture of two policies that are threshold in the buffer occupancy state. A stochastic approximation algorithm and a Q-learning based algorithm that can adaptively estimate the optimal transmission scheduling policies are then proposed.
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Lai, Lifeng. "Multiuser wireless networks the user cooperation perspective." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1186425130.

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Vural, Serdar. "Information propagation in wireless sensor networks using directional antennas." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1188006033.

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Basheer, Al-Qassab. "Reliability of Data Collection and Transmission in Wireless Sensor Networks." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1377472863.

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Appuhami, Ralalage Harsha Nishantha Deepal. "Cross-layer design for scalable/3D wireless video transmission over IP networks." Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/30012/.

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The first two parts of the thesis address the issues related to 3D video transmission over wireless networks and proposes cross-layer design techniques to optimise the information exchange between dif- ferent Open Systems Interconnection (OSI) layers or system blocks. In particular, the first section of this thesis exploits the flexibility of adjusting the checksum coverage length of the transport layer pro- tocol, UDP-lite as opposed to its counterpart UDP. The study pro- poses an optimum checksum coverage length to protect only impor- tant header information of an H.264 encoded video transmission over wireless links, together with robust header compression (RoHC) and Automatic Retransmission Request (ARQ). The second part of the thesis investigates a content and Channel aware Medium Access Con- trol (MAC) layer scheduling algorithm by considering the layer prior- ities of an H.264 Scalable Video Coding (SVC) encoded 3D video transmission over an Orthogonal Frequency Division Multiple Ac- cess (OFDMA) based wireless link with a prioritised queuing tech- nique to improve the Quality of Experience (QoE) of the end users. A considerable amount of research time was devoted to investigat- ing accurate, consistent and real-time quality evaluation techniques for 3D image/ video as cross-layer design techniques mostly rely on the quality feedbacks from end users to optimise system parameters. The first quality metric proposed is a stereoscopic image quality met- ric using the disparity histogram of the left and right views. A 3D stereoscopic video quality evaluation technique is proposed, based on the predominant energy distribution of gradients using 3D structural tensors in the next section. Finally, a near no reference quality metric is proposed for colour plus depth 3D video compression and transmis- sion, using the extracted edge information of colour images and depth maps. The research investigates a number of error resilient transmission methods to combat artifacts in 3D video delivery over wireless chan- nels. A Region-of-Interest (ROI) based transmission method for stereo- scopic videos has been proposed to mark the important areas of the video and provide Unequal Error Protection (UEP) during transmis- sion. Next, we investigate the effects of compression and packet loss on the rendered video quality and propose a model to quantify ren- dering and concealment errors at the sender-side and then use the information generated through the model to effectively deliver 3D. Finally an asymmetric coding approach is suggested for 3D medical video transmitted over band limited wireless networks by considering large data rates associated with 3D medical video as they are usually captured in high resolution and pixel depth. Key words: 3D video transmission, Cross-layer design, Orthogonal frequency-division multiple access, H.264 video compression, Scalable video coding, Robust header compression, automatic retransmission request, Quality of experience, Prioritized 3D video transmission, Un- equal error protection.
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Olwal, Thomas. "Dynamic power control in backbone wireless mesh networks : a decentralized approach." Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00598277.

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The remarkable evolution of wireless networks into the next generation to provide ubiquitous and seamless broadband applications has recently triggered the emergence of Wireless Mesh Networks (WMNs). The WMNs comprise stationary Wireless Mesh Routers (WMRs) forming Wireless Backbone Mesh Networks (WBMNs) and mobile Wireless Mesh Clients (WMCs) forming the WMN access. While WMCs are limited in function and radio resources, the WMRs are expected to support heavy duty applications : that is, WMRs have gateway and bridge functions to integrate WMNs with other networks such as the Internet, cellular, IEEE 802.11, IEEE 802.15, IEEE 802.16, sensor networks, et cetera. Consequently, WMRs are constructed from fast switching radios or multiple radio devices operating on multiple frequency channels. WMRs are expected to be self-organized, self-configured and constitute a reliable and robust WBMN which needs to sustain high traffic volumes and long "online" time. However, meeting such stringent service expectations requires the development of decentralized dynamic transmission power control (DTPC) approaches. This thesis addresses the DTPC problem for both single and multiple channel WBMNs. For single channel networks, the problem is formulated as the minimization of both the link-centric and network-centric convex cost function. In order to solve this issue, multiple access transmission aware (MATA) models and algorithms are proposed. For multi-radio multi-channel (MRMC) WBMNs, the network is modelled as sets of unified channel graphs (UCGs), each consisting of interconnected active network users communicating on the same frequency channel. For each UCG set, the minimization of stochastic quadratic cost functions are developed subject to the dynamic Link State Information (LSI) equations from all UCGs. An energy-efficient multi-radio unification protocol (PMMUP) is then suggested at the Link-Layer (LL). Predictive estimation algorithms based on this protocol are proposed to solve such objective functions. To address transmission energy and packet instabilities, and interference across multiple channels, singularly-perturbed weakly-coupled (SPWC) control problems are formulated. In order to solve the SPWC transmission power control problem, a generalized higher-order recursive algorithm (HORA) that obtains the Riccati Stabilizing Solutions to the control problem is developed. The performance behaviours of the proposed models and algorithms are evaluated both analytically and through computer simulations. Several simulations are performed on a large number of randomly generated topologies. Simulation and analytical results confirm the efficacy of the proposed algorithms compared to the most recently studied techniques
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Eddy, Wesley M. "Improving Transport Control Protocol Performance With Path Error Rate Information." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1087844627.

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Rückelt, Tobias [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, and Ioannis [Akademischer Betreuer] Stavrakakis. "Connecting Vehicles to the Internet - Strategic Data Transmission for Mobile Nodes using Heterogeneous Wireless Networks / Tobias Rückelt ; Ralf Steinmetz, Ioannis Stavrakakis." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2017. http://d-nb.info/1147968365/34.

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Ansar, Zeeshan [Verfasser], Waltenegus [Akademischer Betreuer] Dargie, Jochen [Gutachter] Seitz, and Alexander [Gutachter] Schill. "Proposal of a Hybrid Algorithm for Burst Transmission in Wireless Sensor Networks / Zeeshan Ansar ; Gutachter: Jochen Seitz, Alexander Schill ; Betreuer: Waltenegus Dargie." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://d-nb.info/1226811795/34.

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Diop, El hadji Serigne Mamour. "Optimisation de la transmission d'images dans les réseaux de capteurs pour des applications critiques de surveillance." Thesis, Pau, 2014. http://www.theses.fr/2014PAUU3011/document.

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L’émergence de petites caméras CMOS et de microphones MEMS, à coût et puissance réduits, a contribué au développement d’une technologie permettant la transmission de flux multimédia (audio, image, vidéo) : les réseaux de capteurs multimédia. Cette technologie, offrant de nouvelles perspectives d’applications potentielles où la collecte d’informations visuelles et/ou acoustiques apporte une plus- value certaine, suscite un intérêt manifeste. Avec des données multimédia, la qualité de service devient désormais une exigence fondamentale pour la transmission dans un environnement contraint en ressources. Dans le contexte spécifique de cette thèse, nous considérons un déploiement par voie aérienne d’une grande quantité de capteurs image pour des applications critiques de surveillance telles que la détection d’intrusion ou des opérations de recherche et sauvetage. La prise en compte de la criticité des applications constitue un aspect important de cette thèse, novateur par rapport aux contributions déjà effectuées dans le domaine. Nos travaux se fondent sur une méthode d’ordonnancement adaptatif de l’activité des capteurs image qui fournit, pour chacun d’entre eux, son ensemble de cover-sets. La détection d’un événement dans le réseau déclenche la transmission d’une large quantité d’informations visuelles, émanant de plusieurs sources pour résoudre les ambiguïtés. L’objectif de cette thèse est d’optimiser cette transmission simultanée d’images causant des désagréments sur le réseau. Nous avons tout d’abord proposé une stratégie de sélection des cover-sets pertinents à activer pour une transmission efficace des images capturées. Cette stratégie, basée sur des critères d’état et de voisinage, assure un compromis entre autonomie et criticité. Une extension multi-chemin de GPSR assure la remontée des images émises des sources sélectionnées au puits. Une seconde contribution, également une approche de sélection, se fonde sur les informations de chemins à 2 sauts pour la sélection des cover-sets. Contrairement à la précédente, elle accorde une priorité à la criticité par rapport à la préservation de l’énergie, même si cette préservation est faite de manière indirecte. Un protocole de routage multi-chemin T-GPSR essentiellement basé sur les informations à 2 sauts est associé à la seconde approche de sélection. Une étude de performances de la mobilité du puits sur les propositions basées sur les informations à 2 sauts constitue notre troisième contribution
Recent advances of inexpensive and low-power CMOS cameras and MEMS mi- crophones have led to the emergence of Wireless Multimedia Sensor Networks (WMSNs). WMSNs promise a wide spectrum of potential applications which require to ubiquitously capture multimedia content (visual and audio information). To support the transmission of multimedia content in a resource constrained environment, WMSNs may require a certain level of quality of service (QoS) in terms of delay, bandwidth, jitter, reliability, quality level etc. In this thesis, we consider Wireless Image Sensor Networks (WISNs) where sensor nodes equipped with miniaturized visual cameras to provide accurate information in various geographical parts of an area of interest can be thrown in mass for mission-critical applications such as intrusion detection or search & rescue. An innovative and important aspect of this thesis is to take into account the criticality of applications. The network adopts an adaptive scheduling of image sensor node’s activity based on the application criticality level, where each node computes its cover-sets. So, event detection triggers the simulataneous transmission of a large volume of visual data from multiples sources to the Sink. The main objective of this thesis is to optimize this simultaneous transmission of images that can degrade network performance. With this goal in mind, we first proposed a multi-criteria approach to select the suitable cover-sets to be activated for reliable transmission of images in mission-critical applications. The proposed approach takes into account various parameters that affect the image quality at the Sink in a multi-hop transmission network and guarantees a compromise between autonomy and criticality. A modified version of GPSR routing protocol supporting the transmission of multimedia streams ensures the transfer of images from selected sources to the Sink. The second contribution consists in an optimized selection strategy based on 2-hop neighborhood information to determine the most relevant cover-sets to be activated to increase reliability for image transmission. This selection approach prioritizes the application’s criticality. A multipath extension of GPSR, called T-GPSR, wherein routing decisions are based 2-hop neighborhood information is also proposed. A performance study of the sink mobility on proposals based on 2-hop information is our third contribution
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Books on the topic "Wireless networks of information transmission"

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H, Levesque Allan, ed. Wireless information networks. New York: Wiley, 1995.

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Designing wireless information services. New York: Wiley Computer Pub., 2000.

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Networking 2004: networking technologies, services, and protocols ; performance of computer and communication networks, mobile and wireless commuication: Third International IFIP-TC6 Networking Conference, Athens, Greece, May 9-14, 2004 ; proceedings. Berlin: Springer-Verlag, 2004.

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Pahlavan, Kaveh. Wireless information networks. 2nd ed. Hoboken, NJ: John Wiley, 2005.

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Pahlavan, Kaveh, and Allen H. Levesque. Wireless Information Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471738646.

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Pahlavan, Kaveh, and Allen H. Levesque. Wireless Information Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471738646.

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Holtzman, Jack M., ed. Wireless Information Networks. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1353-3.

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Pahlavan, Kaveh. Wireless information networks. New York: Wiley, 1995.

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Wang, Lu, Kaishun Wu, and Mounir Hamdi. Attachment Transmission in Wireless Networks. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04909-0.

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Sacchi, Claudio. Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "Wireless networks of information transmission"

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Paruchuri, Vamsi, and Arjan Durresi. "Optimal Transmission Range in Sleeping Wireless Networks." In Advances in Network-Based Information Systems, 317–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65521-5_27.

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Abdu, Abdullahi Ibrahim, and Muhammed Salamah. "Energy-Aware Transmission Scheme for Wireless Sensor Networks." In Communications in Computer and Information Science, 135–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21937-5_13.

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Qureshi, Shahzad Ahmad, Sikander M. Mirza, and M. Arif. "Optimization of Projections for Parallel-Ray Transmission Tomography Using Genetic Algorithm." In Wireless Networks, Information Processing and Systems, 29–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_6.

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Li, Tongtong, Huahui Wang, and Jian Ren. "Non-uniform Information Transmission for Minimum Distortion in Wireless Networks." In Wireless Algorithms, Systems, and Applications, 394–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11814856_38.

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Khanzada, Tariq Jamil Saifullah, Ali Ramadan Ali, Abdul Qadeer Khan Rajput, and Abbas S. Omar. "A Design and Chronological Survey of Decision Feedback Equalizer for Single Carrier Transmission Compared with OFDM." In Wireless Networks, Information Processing and Systems, 378–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_41.

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Yuan-Yuan, Cao, and Feng Hai-Lin. "Data Reliability Analysis for Flooding Transmission of Wireless Sensor Networks." In Communications in Computer and Information Science, 476–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34038-3_66.

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Raut, Archana R., S. P. Khandait, and Urmila Shrawankar. "Time-Critical Transmission Protocols in Wireless Sensor Networks: A Survey." In Emerging Research in Computing, Information, Communication and Applications, 351–64. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5953-8_30.

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Vikram, K., and Sarat Kumar Sahoo. "Interference Aware Adaptive Transmission Power Control Algorithm for Zigbee Wireless Networks." In Communications in Computer and Information Science, 56–69. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8660-1_4.

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Shin, Jongmin, Miae Chin, and Cheeha Kim. "Optimal Transmission Range for Topology Management in Wireless Sensor Networks." In Information Networking. Advances in Data Communications and Wireless Networks, 177–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919568_18.

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Sambhaji Sarode, Jagdish Bakal, and L. G. Malik. "Reliable and Prioritized Data Transmission Protocol for Wireless Sensor Networks." In Proceedings of the International Congress on Information and Communication Technology, 535–44. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0755-2_57.

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Conference papers on the topic "Wireless networks of information transmission"

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Boztas, Serdar. "On Transmission Scheduling in Wireless Networks." In 2006 IEEE International Symposium on Information Theory. IEEE, 2006. http://dx.doi.org/10.1109/isit.2006.261563.

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Sangeethapriya, S., and R. Amutha. "Reliable data transmission in wireless sensor networks." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7034188.

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Nguyen, Gam D., Sastry Kompella, Jeffrey E. Wieselthier, and Anthony Ephremides. "Transmission scheduling in capture-based wireless networks." In 2009 43rd Annual Conference on Information Sciences and Systems (CISS). IEEE, 2009. http://dx.doi.org/10.1109/ciss.2009.5054855.

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Tan, Harry H., Robert M. Liang, and Joseph Han. "Information exchange in wireless networks with noisy transmission links." In MILCOM 2010 - 2010 IEEE Military Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/milcom.2010.5680395.

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Gunduz, Deniz, and Elza Erkip. "Reliable Cooperative Source Transmission with Side Information." In 2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks. IEEE, 2007. http://dx.doi.org/10.1109/itwitwn.2007.4318024.

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"ROBUST MULTIMEDIA TRANSMISSION OVER WIRELESS AND MOBILE NETWORKS." In International Conference on Wireless Information Networks and Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002953201420147.

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Aguerri, Inaki Estella, and Deniz Gunduz. "Wireless source transmission with time-varying side information." In 2011 International Symposium of Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2011. http://dx.doi.org/10.1109/wiopt.2011.5930043.

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"TURBO SPACE TIME CODES FOR TAILBITING TRANSMISSION." In International Conference on Wireless Information Networks and Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002146101400145.

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Lingjia Liu, Hao Chen, John Matyjas, and Michael Medley. "Cooperative transmission for cognitive radio networks using mutual-information accumulation." In 2014 23rd Wireless and Optical Communication Conference (WOCC). IEEE, 2014. http://dx.doi.org/10.1109/wocc.2014.6839955.

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Zhou, Zude, and Chao Xu. "Information transmission using UEP turbo codes in wireless sensor networks." In Optics East 2005, edited by Anbo Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.633829.

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Reports on the topic "Wireless networks of information transmission"

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Konorski, Jerzy. Information Transfer Ion Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada525850.

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Kabara, Joseph, Prashant Krishnamurthy, and David Tipper. Information Assurance in Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada408305.

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Nguyen, Gam D., Sastry Kompella, Jeffrey E. Wieselthier, and Anthony Ephremides. Cooperation for Transmission Scheduling in Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada521280.

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Bhandari, Vartika, and Nitin H. Vaidya. Scheduling in Multi-Channel Wireless Networks with Limited Information. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada486706.

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Wicker, Steven B. Self-Configuring Wireless Transmission and Decentralized Data Processing for Generic Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada425425.

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Milner, Stuart, Christopher C. Davis, Zygmunt J. Haas, and P. R. Kumar. Quantifying and Assuring Information Transfer in Dynamic Heterogeneous Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada577180.

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Rane, Shantanu D., Jeremiah Remus, and Guillermo Sapiro. Wavelet-Domain Reconstruction of Lost Blocks in Wireless Image Transmission and Packet-Switched Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada437341.

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Gündoğan, C., T. Schmidt, M. Wählisch, C. Scherb, C. Marxer, and C. Tschudin. Information-Centric Networking (ICN) Adaptation to Low-Power Wireless Personal Area Networks (LoWPANs). RFC Editor, November 2021. http://dx.doi.org/10.17487/rfc9139.

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Coleman, Todd P. Low-Complexity Methods for Provably Good Information Transmission and Network Anomaly Detection via Packet Timings In Networks. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada549164.

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Building Profitable and Sustainable Community Owned Connectivity Networks. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2019/0065.

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Abstract:
The IID seminar titled “Building Profitable and Sustainable Community Owned Connectivity Networks”, was hosted on 31 August 2020 on Zoom Webinar. The 2019 White Paper on science, technology and innovation (STI) recognise the pivotal enabling role of information and communication technologies (ICTs) in realising an inclusive and prosperous information society and knowledge economy. One of the Department of Science and Innovation (DSI)’s key role is to catalyse the digital ecosystem and develop scalable models for community owned connectivity networks to replicate in other areas. Rural areas provide challenging environment to implement communication infrastructure for data and Internet based services, including high cost of network implementation and lack of customer base, low-income streams, highly scattered and low population density. The DSI has thus partnered with the University of Western Cape (UWC), the Mankosi Village community, with support from the Technology Innovation Agency (TIA) to scaleup the Zenzeleni Community Owned Connectivity Networks (COCN). The Zenzeleni COCN has been in existence since 2012 and provides timely, reliable and affordable Wi-Fi connectivity to the remote rural areas of Mankosi and Zithulele in Mthatha. The webinar, facilitated by Ms Ellen Fischat from Story Room aimed to look at how rural and township wireless connectivity models, including Zenzeleni COCN can be scaled-up to increase the number of people connected in the rural settings, more so in light of the COVID-19 crisis. It is evident from the proceedings the need for community networks to provide access to connectivity and also more importantly, what connectivity enables. Subsequent discussions would need to focus on the users and owners of these community networks to understand how their lives have improved through the deployment of the technology. This will shed light of the financial feasibility and benefit.
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