Dissertations / Theses on the topic 'Broadcast dissemination'
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DU, XIAOMING. "DYNAMIC CHANNEL ALLOCATION AND BROADCAST DISK ORGANIZATION FOR WIRELESS INFORMATION DISSEMINATION." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin993237413.
Full textSuthaputchakun, Chakkaphong. "Multi-hop broadcast protocols for emergency message dissemination in vehicular ad hoc networks." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608349.
Full textMisiewicz, Michael V. K. "Modeling and simulation of a Global Broadcast Service reach back architecture for information dissemination management." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA356515.
Full text"September 1998." Thesis advisor(s): Dan C. Boger, Carl R. Jones, John S. Osmundson. Includes bibliographical references (p. 191-194). Also available online.
Boczkowski, Lucas. "Search and broadcast in stochastic environments, a biological perspective." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC044.
Full textThis thesis is built around two series of works, each motivated by experiments on ants. We derive and analyse new models,that use computer science concepts and methodology, despite their biological roots and motivation.The first model studied in this thesis takes its inspiration in collaborative transport of food in the P. Longicornis species. Wefind that some key aspects of the process are well described by a graph search problem with noisy advice. The advicecorresponds to characteristic short scent marks laid in front of the load in order to facilitate its navigation. In this thesis, weprovide detailed analysis of the model on trees, which are relevant graph structures from a computer science standpoint. Inparticular our model may be viewed as a noisy extension of binary search to trees. Tight results in expectation and highprobability are derived with matching upper and lower bounds. Interestingly, there is a sharp phase transition phenomenon forthe expected runtime, but not when the algorithms are only required to succeed with high probability.The second model we work with was initially designed to capture information broadcast amongst desert ants. The model usesa stochastic meeting pattern and noise in the interactions, in a way that matches experimental data. Within this theoreticalmodel, we present in this document a strong lower bound on the number of interactions required before information can bespread reliably. Experimentally, we see that the time required for the recruitment process of even few ants increases sharplywith the group size, in accordance with our result. A theoretical consequence of the lower bound is a separation between theuniform noisy PUSH and PULL models of interaction. We also study a close variant of broadcast, without noise this time butunder more strict convergence requirements and show that in this case, the problem can be solved efficiently, even with verylimited exchange of information on each interaction
MORABITO, FEDERICO GIUSEPPE. "Content-based publish/subscribe systems: architectures and algorithms." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/395.
Full textTan, Hailun Computer Science & Engineering Faculty of Engineering UNSW. "Secure network programming in wireless sensor networks." Awarded By:University of New South Wales. Computer Science & Engineering, 2010. http://handle.unsw.edu.au/1959.4/44835.
Full textRajendran, Rajapandiyan. "The Evaluation of GeoNetworking Forwarding in Vehicular Ad-Hoc Networks." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23982.
Full textCelik, Aslihan. "Technologies to facilitate information commerce: Dissemination of data using broadcasts." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290201.
Full textValentini, Luca. "Disseminazioni in reti peer-to-peer attraverso algoritmi di gossip a due fasi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10446/.
Full textMartínez, Domínguez Francisco José. "Improving Vehicular ad hoc Network Protocols to Support Safety Applications in Realistic Scenarios." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/9195.
Full textMartínez Domínguez, FJ. (2010). Improving Vehicular ad hoc Network Protocols to Support Safety Applications in Realistic Scenarios [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/9195
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Pimenta, de Moraes Junior Hermes. "Adaptive solutions for data sharing in vehicular networks." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2417/document.
Full textIn the context of Intelligent Transportation Systems - ITS, vehicles may have a lot of sensors (e.g. cameras, lidars, radars) and applications (collision avoidance, traffic monitoring, etc.) generating data. They represent then an important source of information. Local applications can significantly increase their effectiveness by sharing such an information within the network. Data accuracy, confidence and pertinence can be verified when receiving data from other nodes. Therefore, we believe that an important question to answer in this context is: “How to efficiently share data within such an environment?” Data sharing is a complex task in dynamic networks. Many concerns like intermittent connections, network density variation and communication spectrum congestion arise. A usual approach to handle these problems is based on periodic processes. Indeed, a message sent many times can reach its destination even with intermittent connections and low density networks. Nevertheless, within high density networks, they may lead to communication spectrum scarcity. In this thesis we address the problem of data sharing in dynamic networks by relying in so-called horizons of pertinence. A horizon is defined as an area within which an information is expected to be received. We start focusing on data sharing within direct neighbors (at 1-hop of distance). Then we propose a solution to construct a map of neighbors, centered in the ego-node, within a horizon of n-hops. Finally, we relax the horizon definition to a dynamic defined one where different data items may reach different distances (hops). Regarding the solution for 1-hop horizons, our adaptive technique takes into account nodes’ dynamics and network load. In order to ensure an effective data dissemination in different scenarios, the sending messages frequency is defined according to vehicles movements and an estimation of the network loss rate. Following, we focus on the map of neighbors up to n-hops of distance. As communicationwith distant nodes brings additional concerns (forwarding actions, larger delays, out-of-date information), a trust evaluation of identified nodes and a reliability estimation of the multi-hop path to each neighbor is added to the map. Instead of running separated disseminating processes, our third contribution deals with a cooperative strategy with the main goal of disseminating data while satisfying most of the nodes. For this purpose a unique frame is forwarded from node to node. Its payload is locally updated so that it contains the most relevant data items according to some criteria (e.g. urgency, relevance). Such a strategy defines thus a data-centered horizon. We validate our proposals by means of realistic network emulations. From all our studies and achieved results we can state that our approach brings interesting insights for data sharing in dynamic networks like VANETs
Huang, Jiun-Long, and 黃俊龍. "Data Dissemination on Broadcast Environments." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/75739286397991645489.
Full text國立臺灣大學
電機工程學研究所
91
The advance in wireless communication enables users to access information systems anytime, anywhere, via various mobile devices such as notebooks, tablet PCs, personal digital assistants (PDAs) and GPRS-enabled cellular phones. Service providers are establishing a number of mobile services including weather forecasting, stock information dissemination, location-dependent query, route guidance and so on. To provide such services, researchers have encountered and are endeavoring to overcome challenges in related research areas, including mobile data management, wireless network infrastructure, location-dependent data management, and pervasive computing, to name a few. A mobile computing environment is in essence a distributed system. However, a computing environment is more challenging than a traditional distributed system due to the following characteristics: resource limited mobile devices, low network bandwidth, heterogeneity on mobile devices and user mobility. In recent years, data broadcast becomes a promising technique in a mobile computing environment. However, most prior works are under the premise that each user requests only one data item at a time and the requests for all data items are independent. However, in many real applications, some data items are semantically related and there exists dependency among the requests of these data items. Broadcast program generation algorithms assuming independent requests might not be able to effectively optimize the performance of the broadcast programs. This is the very problem we shall address in this dissertation. In addition to broadcast mode, channels can operate in on-demand mode in which a client explicitly sends data requests to retrieve the data items of interest. The major advantage of data broadcast is its scalability since the performance of the system does not depend on the number of clients listening to the broadcast channels. However, the performance degrades as the number of data items being broadcast increases. It has been shown that the combined use of the broadcast and on-demand channels can utilize bandwidth more efficiently. Hence, we also explore the problem of data and channel allocation to partition a given number of communication channels into broadcasting ones and on-demand ones. To address the problems resulting from the heterogeneity of various mobile devices, a proxy capable of transcoding (referred to as a transcoding proxy) is placed between a client and an information server to coordinate the mismatch between what the server provides and what the client prefers. Since proxy-based approaches are transparent to the content providers and users, this kind of approaches is able to simplify the design of servers and clients. However, most research works in transcoding proxies in mobile computing environments are under the traditional client-server architecture and do not employ the data broadcast technique. Hence, the transcoding proxies are not scalable and the network bandwidth is not well utilized. In addition, most prior studies do not consider the issue of quality of service (abbreviated as QoS) which is crucial in a mobile computing environment. In view of this, we design a scalable and QoS-aware transcoding proxy by utilizing the on-demand broadcasting technique to provide scalable and QoS-aware services.
Hu, Chih-Lin, and 胡誌麟. "Dissemination of Dynamic Data and Information Services on Broadcast Channels." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/34319669630449783038.
Full text國立臺灣大學
電機工程學研究所
91
The needs of various classes of modern data and information applications, especially those targeted at mobile computing, demand the support of adaptive data broadcasting, and the support in turn demands a new kind of data dissemination framework. For proper implementation, the service model of adaptive data broadcasting must provide the methodologies of dynamic traffic awareness and dynamic broadcast content adaptation. At the same time, these methodologies must be implemented as a distributed data dissemination platform, having the guarantees of efficiency, reliability, robustness, and scalability. We advocate that the design and development of adaptive data broadcasting schemes should be backward compatible, rather than replacing the conventional paradigm, in accordance with the principles of information dissemination and dynamic data management. To this end, in this dissertation, we formulate the fundamentals of adaptive data broadcasting, relate them to the traditional data broadcast scheme, and devise several promising mechanisms. Note that prior researches in the data broadcast realm are mainly based on the traditional data management model, where data items are independent, persistent, and static. In fact, however, many modern information broadcast applications enable the generation and spread of dynamic data. To fulfil the requirements for the dissemination of dynamic data and information broadcast services on broadcast channels, we address the impacts of dynamic traffic awareness and dynamic broadcast content adaptation. Accordingly, we propose in this dissertation four promising mechanisms for this purpose:\ particularly, (1) Dynamic Broadcast Traffic Awareness, (2) Adaptive Multi-Channel Data Dissemination, (3) Adaptive Information Dissemination with Loan-Based Feedback Control, and (4) On Scheduling Sequential Objects with Periodicity for Dynamic Information Dissemination. Considering the nature of dynamic traffic changes, Chapter 2 devises an innovative traffic awareness mechanism, by exploiting the significant potential of client impatience, to estimate the dynamic access frequency distribution. In comparison with the probing and the feedback techniques, the proposed \textit{selective deferment and reflection} (SDR) technique is light-weight and of low complexity. Extensive simulations show that in the case of an increasing/decreasing workload, the real access frequency distribution is bounded by two specific estimated distributions. This fact in turn suggests us to devise a trigonometric tuning method to further enhance the estimation. Consequently, the dynamic traffic awareness mechanism is able to generate an access frequency distribution very close to the real one, showing the feasibility and reliability for adaptive data broadcasting. Chapter 3 proposes an \textit{adaptive multi-channel data dissemination} (AMD) mechanism, which supports the \textit{multi-channel traffic awareness} (MCTA) and the \textit{deterministic balance search} (DBS), in order to pursuit the fairness and robustness for a hybrid data delivery in multi-channel data dissemination environments. In light of the SDR technique, MCTA\ is able to periodically estimate the dynamic access frequencies of all items in the push channels. With the MCTA estimation, furthermore, DBS employs a heuristic search for the global balance, where the push access time and the pull response time are minimized. The experimental results show that the estimated access frequency distribution by MCTA has high accuracy. In addition, DBS\ is robust against the slight accuracy difference caused by MCTA, and notedly attains a global balance very close to the optimum. In order to support the dissemination of static and dynamic information services simultaneously, the work in Chapter 4 devises the \textit{% group-based information dissemination} (GID) mechanism with the \textit{% loan-based slot allocation and feedback control} (LSAFC) technique. The GID mechanism not only supports dynamic information dissemination, but also is backward compatible with the conventional data broadcast scheme. Both of the client-oriented and the server-oriented traffic factors are involved in the GID\ mechanism. Further, we design the LSAFC technique to sustain dynamic traffic changes. Accordingly, the integration of the GID\ mechanism and the LSAFC\ technique is able to perform the adaptations of broadcast slot allocation, group association, group popularity and classification, and broadcast program. Performance study shows that the GID mechanism is very scalable and attains a substantial reduction of dynamic message traffic. In addition, the LSAFC technique is able to functionally complement the GID mechanism, therefore making the GID mechanism more efficient and robust. With regard to data association, dependency, and dynamics, Chapter 5 studies the problem of scheduling dynamic time-sequential data objects in a generalized clients-providers-servers system. According to the principle of periodicity, the scheduling optimization is transformed as the procedure of finding a solution in solving the algebraic problem. In light of the derived upper and lower bounds of mean service access time, a deterministic selection algorithm is developed for the optimal approximation. Several gain measure functions are designed to incrementally enhance the deterministic object selection in response to dynamic data traffic. The broadcast sequence is guaranteed corresponding to the object production order so as to make sure of the correctness of information in the broadcast schedule. Performance evaluation shows the presented deterministic strategy performs prominently in the approximation of schedule optimization. Hence, the mean service access time is minimized to the extent of being close to the theoretical optimum.
Lin, Zhen-Han, and 林政漢. "An Adaptive Push and Pull Data Dissemination System with Broadcast Disk." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/77232304606436683711.
Full textHung, Tsung-Hui, and 洪宗輝. "DPAB: A Dynamic Partition Assisted Broadcast Protocol with Multi-hop Emergency Dissemination for Vehicular Ad Hoc Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/m4kmpc.
Full text淡江大學
資訊工程學系資訊網路與通訊碩士班
102
Effectively broadcasting emergency messages in vehicular ad hoc networks (VANETs) is an important issue in VANETs. This paper proposes a Dynamic Partition Assisted Broadcast (DPAB) protocol to effectively broadcast emergency messages in VANETs. Adjusting the power level of control messages to estimate the network density and dynamically partition a transmission range into segments are the major techniques in DPAB. To do so can not only find the best vehicle in the furthest possible segment to relay the emergency messages in the network, but also can reduce the interference among vehicles to save the network resource and increase the packet delivery ratio. Based on the mathematical analyses and network simulations, the proposed protocol, DPAB, has a significant performance against the related work in one hop delay and packet delivery ratio.
Benrhaiem, Wiem. "Reliable Message Dissemination in Mobile Vehicular Networks." Thèse, 2017. http://hdl.handle.net/1866/19295.
Full textChen, Chang-Ming, and 陳昶銘. "A Segment-based Broadcast Protocol Using Directional Antennas with Multi-hop Emergency Message Dissemination for Vehicular Ad Hoc Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/89230433491582339740.
Full text淡江大學
資訊工程學系資訊網路與通訊碩士班
100
Recently, wireless communications have been used in the daily life with the growth of the wireless networks, such as vehicular ad hoc networks. The rapid development of transport increases the congestion and traffic accident. Therefore, many countries develop the intelligent transportation system and subsystem, dedicated short range communication technology to apply on the vehicular ad hoc networks for the communications among vehicles in the high mobile environments. The main purpose of the vehicular ad hoc networks is to provide the emergency message dissemination and normal data transmissions. In order to keeps drivers far away the traffic accident, the broadcast of immediate emergent notifications in vehicular ad hoc networks has become one of the hot research issues. Therefore, this thesis proposes a reliable emergent notifications broadcast protocol using directional antennas in vehicular ad hoc networks. The proposed protocol assigns the forwarding vehicle based on the neighboring vehicular information. Therefore, the protocol not only provides a broadcast of the reliable emergent notifications, but also shorts the wasted time used for the assignment of the forwarding vehicle and the collection of neighboring vehicular information.
Popescu, Adrian Daniel. "SLA-Aware Adaptive Data Broadcasting in Wireless Environments." Thesis, 2009. http://hdl.handle.net/1807/18981.
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