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Relevant bibliographies by topics / Wireless data networking

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Academic literature on the topic 'Wireless data networking'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Wireless data networking"

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Cui, Yong, Hongyi Wang, Xiuzhen Cheng, and Biao Chen. "Wireless data center networking." IEEE Wireless Communications 18, no. 6 (December 2011): 46–53. http://dx.doi.org/10.1109/mwc.2011.6108333.

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Kwark, Y. H. "Wireless Data Networking [Book Review]." IEEE Communications Magazine 34, no. 4 (April 1996): 10. http://dx.doi.org/10.1109/mcom.1996.489706.

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Shah, Nitin J., Anil S. Sawkar, John A. Marinho, Krishan K. Sabnani, Thomas F. La Porta, and Tung Ching Chiang. "Wireless data networking, standards, and applications." Bell Labs Technical Journal 5, no. 1 (August 14, 2002): 130–49. http://dx.doi.org/10.1002/bltj.2211.

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Yao, Zhen Gang. "A Study on Smart Agricultural Facilities Wireless Networking." Advanced Materials Research 926-930 (May 2014): 2213–16. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2213.

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A wireless networking method for smart agricultural facilities was proposed in this paper. As ZigBee was a short distance, low complexity, low power cost, low data rate and two-way wireless communication technology, the wireless networking method was based on ZigBee. Network topology, hardware and software were designed in the paper.

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Spragins, J. "Wireless multimedia communications: networking video, voice, and data [Book Reviews]." IEEE Network 12, no. 6 (1998): 6. http://dx.doi.org/10.1109/mnet.1998.752637.

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Yang, Guang You, Si Jian Zhu, Rui Quan, and Zhi Yan Ma. "Research on Wireless Sensor Networks Based on Open Source System." Key Engineering Materials 621 (August 2014): 712–18. http://dx.doi.org/10.4028/www.scientific.net/kem.621.712.

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As the key technologies such as wireless communication, sensor continues to mature, wireless sensor networks has become a domestic and foreign focus of research in the field of wireless networks. The main work of the thesis is to implement ZigBee wireless sensor networking, using open source protocol FreakZ On the base of existing hardware. WSN hardware node consists of 32-bit microprocessor STM32F102CB based on ARM Cortex-M3 kernel and AT86RF212 radio transceiver; the software platform uses a lightweight multi-tasking operating system Contiki and open source protocol stack called FreakZ following ZigBee protocol specification, for networking wireless networks nodes. The paper presents the system architecture of WSN networking and its hardware components, software architecture and data transmission and reception processes of the networks. Using FreakZ protocol stack under the Contiki operating system on the base of the existing hardware platform, the network nodes information and topology displayed on the HyperTerminal indicates the success of WSN networking by using FreakZ protocol.

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din, Muhammad Salah ud, Muhammad Atif Ur Rehman, and Byung-Seo Kim. "CIDF-WSN: A Collaborative Interest and Data Forwarding Strategy for Named Data Wireless Sensor Networks." Sensors 21, no. 15 (July 30, 2021): 5174. http://dx.doi.org/10.3390/s21155174.

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Recent years have witnessed the huge popularity of Information-Centric Networking (ICN) and its realization as Named Data Networking (NDN) in the context of wireless sensor networks (WSNs). The participating nodes in WSNs are usually equipped with a single radio interface. The existing solutions lack in providing the efficient next forwarder selection in NDN-based single radio WSNs. In this work, we propose a collaborative Interest and Data Forwarding (CIDF-WSN) Strategy for Named Data Wireless Sensor Networks. CIDF-WSN develop a Neighbor Information Base (NFIB) which enables the node to select the optimal next-hop relay in Interest packet forwarding. An efficient Interest packet processing mechanism assisted by the Interest Cache Table (ICT) is provided to avoid Interest packets loss and frequent re-transmissions. In addition, CIDF-WSN also provides a robust Data packet transfer mechanism accompanied by the Temp Cache Table (TCT) to avoid Data packet losses and to ensure well-timed content delivery. Simulation results reveal that CIDF-WSN outperforms the recently published works in terms of Interest satisfaction rate, total energy consumption, Data retrieval delays, and communication overhead.

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Mannweiler, C., C. Lottermann, A. Klein, J. Schneider, and H. D. Schotten. "Cyber-physical networking for wireless mesh infrastructures." Advances in Radio Science 10 (September 18, 2012): 113–18. http://dx.doi.org/10.5194/ars-10-113-2012.

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Abstract. This paper presents a novel approach for cyber-physical network control. "Cyber-physical" refers to the inclusion of different parameters and information sources, ranging from physical sensors (e.g. energy, temperature, light) to conventional network information (bandwidth, delay, jitter, etc.) to logical data providers (inference systems, user profiles, spectrum usage databases). For a consistent processing, collected data is represented in a uniform way, analyzed, and provided to dedicated network management functions and network services, both internally and, through an according API, to third party services. Specifically, in this work, we outline the design of sophisticated energy management functionalities for a hybrid wireless mesh network (WLAN for both backhaul traffic and access, GSM for access only), disposing of autonomous energy supply, in this case solar power. Energy consumption is optimized under the presumption of fluctuating power availability and considerable storage constraints, thus influencing, among others, handover and routing decisions. Moreover, advanced situation-aware auto-configuration and self-adaptation mechanisms are introduced for an autonomous operation of the network. The overall objective is to deploy a robust wireless access and backbone infrastructure with minimal operational cost and effective, cyber-physical control mechanisms, especially dedicated for rural or developing regions.

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P, Senthilkumar, and Baskar M. "A study on mobile ad-hock networks (manets)." Journal of Management and Science 1, no. 1 (June 30, 2011): 14–20. http://dx.doi.org/10.26524/jms.2011.3.

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As we know that wireless technology becomes very famous among all the aspects of different technologies of computer networking of present era, the Wireless networks really provide the convenient and easy approach to communications between different areas. Wi-Fi is commonly called as wireless LAN, it is one of those networks in which high frequency radio waves are required for transmission of data from one place to another. Wi-Fi operates on several hundred feet between two places of data transmission. This technology only works on high frequency radio signals. Nowadays this technology is used as office or home network and in many electronic devices. Wireless LAN or Wi-Fi is divided into three main parts on which its whole working depends and all of its applicationsdepend on these parts such as infrastructure mode and ad hoc mode of networking. However, the important type that plays a vital role almost in application is the Ad Hoc mode of networking.This type of networking is also commonly called as peer-to-peer networking or P2P networking. Mobile ad hoc network (MANET) is an autonomous system of mobile nodes connected by wireless links. There is still ongoing research on mobile ad hoc networks and the research may leadto even better protocols and will probably face new challenges. The current goal is to find an optimal balance between scalable routing and media access control, security, and service management.

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Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

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Dissertations / Theses on the topic "Wireless data networking"

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Zyambo, Emmanuel Baleke. "High-speed wireless infrared communications." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275377.

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Hernandez, Edwin A. "Adaptive networking protocol for rapid mobile environments." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001150.

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Braswell, Bryan E. "Modeling data rate agility in the IEEE 802.11a wireless local area networking protocol." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390926.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 2001.
Thesis advisor(s): McEachen, John. "March 2001." Includes bibliographical references (p. 165-166). Also available online.

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Lee, Kok Thong. "Performance analysis of Mobile Ad Hoc Networking routing protocols /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FLee%5Kok.pdf.

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Abane, Amar. "A realistic named data networking architecture for the Internet of things." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1255/document.

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L’Internet des objets (IdO) utilise l’interconnexion de milliards de petits appareils informatiques, appelés «Objets», pour fournir un accès à des services et à des informations partout dans le monde. Cependant, la suite de protocoles IP a été conçue il y a plusieurs décennies dans un but totalement différent, et les fonctionnalités de l’IoT soulignent désormais les limites de l’IP. En parallèle aux efforts d’adaptation de l’IP à l’IdO, des architectures alternatives basées sur les réseaux orientés information promettent de satisfaire nativement les applications Internet émergentes. L’une de ces architectures est appelée réseau de données nommées (NDN). Nos objectifs à travers le travail rapporté dans ce manuscrit peuvent êtrerésumés en deux aspects. Le premier objectif est de montrer que NDN est adapté à la prise en charge des systèmes IdO. Le deuxième objectif est la conception de deux solutions de communication légères pour les réseaux sans fil contraints avec NDN
The Internet of Things (IoT) uses the interconnection of billions of small computing devices, called “Things”, to provide access to services and information all over the world. However, the IP protocol suite has been designed decades ago for a completely different purpose, and IoT features now highlight the limitations of IP. While adapting IP for the IoT might be seen as cutting corners, alternative architectures based on the Information Centric Networking (ICN) paradigm promise to natively satisfy emerging Internet applications. One of these architectures is Named Data Networking (NDN). Our objectives through the work reported in this manuscript can be summarized in two aspects. The first objective is to show that NDN is suitable to support IoT networking. The second objective is the design of two solutions for lightweight forwarding in constrained wireless networks

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Pumpichet, Sitthapon. "Novel Online Data Cleaning Protocols for Data Streams in Trajectory, Wireless Sensor Networks." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/1004.

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The promise of Wireless Sensor Networks (WSNs) is the autonomous collaboration of a collection of sensors to accomplish some specific goals which a single sensor cannot offer. Basically, sensor networking serves a range of applications by providing the raw data as fundamentals for further analyses and actions. The imprecision of the collected data could tremendously mislead the decision-making process of sensor-based applications, resulting in an ineffectiveness or failure of the application objectives. Due to inherent WSN characteristics normally spoiling the raw sensor readings, many research efforts attempt to improve the accuracy of the corrupted or “dirty” sensor data. The dirty data need to be cleaned or corrected. However, the developed data cleaning solutions restrict themselves to the scope of static WSNs where deployed sensors would rarely move during the operation. Nowadays, many emerging applications relying on WSNs need the sensor mobility to enhance the application efficiency and usage flexibility. The location of deployed sensors needs to be dynamic. Also, each sensor would independently function and contribute its resources. Sensors equipped with vehicles for monitoring the traffic condition could be depicted as one of the prospective examples. The sensor mobility causes a transient in network topology and correlation among sensor streams. Based on static relationships among sensors, the existing methods for cleaning sensor data in static WSNs are invalid in such mobile scenarios. Therefore, a solution of data cleaning that considers the sensor movements is actively needed. This dissertation aims to improve the quality of sensor data by considering the consequences of various trajectory relationships of autonomous mobile sensors in the system. First of all, we address the dynamic network topology due to sensor mobility. The concept of virtual sensor is presented and used for spatio-temporal selection of neighboring sensors to help in cleaning sensor data streams. This method is one of the first methods to clean data in mobile sensor environments. We also study the mobility pattern of moving sensors relative to boundaries of sub-areas of interest. We developed a belief-based analysis to determine the reliable sets of neighboring sensors to improve the cleaning performance, especially when node density is relatively low. Finally, we design a novel sketch-based technique to clean data from internal sensors where spatio-temporal relationships among sensors cannot lead to the data correlations among sensor streams.

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Thong, Lee Kok. "Performance analysis of mobile ad hoc networking routing protocols." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1225.

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Approved for public release, distribution is unlimited
This thesis presents a simulation and performance evaluation analysis of the various routing protocols that have been proposed for the Mobile Ad Hoc Network (MANET) environment using the Network Simulator-2 (NS-2) tool. Many routing protocols have been proposed by the academic communities for possible practical implementation of a MANET in military, governmental and commercial environments. Four (4) such routing protocols were chosen for analysis and evaluation: Ad Hoc On-demand Distance Vector routing (AODV), Dynamic Source Routing (DSR), Destination-Sequenced Distance Vector routing (DSDV) and Optimized Link State Routing (OLSR). NS-2 is developed and maintained by the University of Southern California's Information Sciences Institute (ISI). Leveraging on NS-2's simulation capabilities, the key performance indicators of the routing protocols were analyzed such as data network throughput, routing overhead generation, data delivery delay as well as energy efficiency or optimization. The last metric is explored, especially due to its relevance to the mobile environment. Energy is a scare commodity in a mobile ad hoc environment. Any routing software that attempts to minimize energy usage will prolong the livelihood of the devices used in the battlefield. Three important mobility models are considered, namely, Random Waypoint, Manhattan Grid, and Reference Point Group Mobility. The application of these three models will enhance the realism of simulation to actual real life mobility in an urban or military setup scenario. The performance of the routing protocols in varied node density, mobility speed as well as loading conditions have been studied. The results of the simulation will provide invaluable insights to the performance of the selected routing protocols. This can serve as a deciding factor for the U.S. Department of Defense (DoD) in their selection of the most suitable routing protocols tailored to their specific needs.
Civilian, Defence Science Technology Agency, Singapore

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Carneiro, Viana Aline. "Putting data delivery into context: Design and evaluation of adaptive networking support for successful communication in wireless self-organizing networks." Habilitation à diriger des recherches, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00653813.

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Ce document est dédié à mes travaux de recherche développés au cours des six dernières années sur la conception et l'évaluation de systèmes de réseaux sans fil et est le résultat d'un certain nombre de collaborations. En particulier, mon objectif principal a été le soutien à la livraison fiable de données dans les réseaux sans fil auto-organisés. La question centrale, qui a guidée mes activités de recherche, est la suivante: "quels sont les services réseaux sous-jacents à la bonne conception de stratégies de communication sans fil dans les systèmes de réseaux auto-organisés (fixe ou mobile)?". Les réseaux auto-organisés (WSONs) ont des caractéristiques intrinsèques et, par conséquent, nécessitent des solutions particulières qui les distinguent des réseaux traditionnels basés sur des graphes. Les différents types de WSONs nécessitent des services adaptatifs ciblés pour faire face à leur nature (i.e., la mobilité, la limitation des ressources, le manque de fiabilité des communications sans fil,. . .) et pour trouver une adéquation entre leur fonctionnement et l'environnement. Influencée par de telles observations, mes activités de recherche ont été guidées par l'objectif principal de fournir au niveau du réseau un soutien à la livraison fiable de données dans les réseaux sans fil auto-organisés. Les axes de recherche, que j'ai développés avec mes collègues dans ce contexte, sont classés comme étant des services adaptifs "au niveau noeud" et "au niveau réseau" et se distinguent par le niveau auquel l'adaptation est considérée. Mes contributions, liées à la première catégorie de service, reposent sur les services de localisation et de découverte de voisinage. En raison de la limitation de page, ce manuscrit est, cependant, consacré à la recherche que j'ai menée autour des services adaptatifs au niveau du réseau. Par conséquent, il est structuré en trois chapitres principaux correspondants à trois classes de services réseaux : des services de gestion de la topologie, des services de gestion des données et des services de routage et d'acheminement. Ma première contribution concerne des services de gestion de la topologie, qui sont réalisés grâce à l'adaptation des noeuds - en imposant une hiérarchie dans le réseau via la clusterisation ou en supprimant des noeuds du graphe du réseau en les éteignant - et par la mobilité contrôlée - qui affecte à la fois la présence de noeuds et de liens, ainsi que la qualité des liens dans le graphe du réseau. Se basant sur l'adaptation de noeuds, le protocole SAND, les systèmes VINCOS et NetGeoS qui portent respectivement sur la conservation d'énergie et sur l'auto-structuration des réseaux de capteurs sans fil (WSN) ont été proposés. Ensuite, se basant sur la mobilité contrôlée, des propositions, liées à la conception de trajectoire de Hilbert et du protocole Cover, ont été présentées. Elles se concentrent sur le déploiement de solutions pour la couverture de zone avec des noeuds mobiles et ont été conçues pour surveiller périodiquement une zone géographique ou pour couvrir des noeuds de capteurs mobiles (cibles). Considérant les services de gestion de données, mes contributions se rapportent à la collecte des données - qui implique des solutions de distribution de données avec des objectifs liés a l'organisation - et la diffusion des données - où les flux de données sont dirigés vers le réseau. Pour cela, les protocoles DEEP et Supple ont été conçus pour les réseaux de capteurs sans fil, tandis que FairMix et VIP delegation se concentrent sur la diffusion d'information dans les réseaux sans fil sociaux. En particulier, afin d'améliorer la diffusion des données, FairMix et VIP delegation, exploitent les similarités des intérêts sociaux des personnes ou des groupes dans les réseaux fixes ou l'aspect social de leurs interactions sans fil dans les réseaux mobiles. Finalement, mes travaux sur les services adaptatifs d'acheminement attaquent la problèmatique de la connectivité opportuniste dans les réseaux sans fil tolérants aux délais. Dans ce contexte, les protocoles Seeker et GrAnt ont été conçus et utilisent respectivement l'histoire du contact entre les noeuds (les schémas de contact et de communication) et les propriétés des réseaux sociaux de noeuds afin de prédire les futures rencontres et de mieux ajuster les décisions de transfert. Au regard des nouvelles possibilités de communication et du changement dynamique observé au cours des dernières années dans les réseaux sans fil, mes activités de recherche se sont progressivement orientés des réseaux auto-organisés connectés vers les réseaux connectés par intermittence et opportunistes. De cette façon, mes perspectives de recherche future sont: (1) tirer profit des schémas de mobilité incontrôlée des dispositifs mobiles pervasifs pour améliorer les efforts de perception collaborative; (2) regarder plus en profondeur les techniques de génération de graphes sociaux à partir des traces décrivant les contacts entre les noeuds; (3) étudier quels sont les facteurs ayant un impact (positif ou négatif) sur le succès de la diffusion de l'information dans les réseaux sociaux mobiles, et (4) étudier la possibilité d'adapter le codage réseau à la diffusion d'information dans les réseaux sociaux mobiles.

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Pieskä, Marcus. "Emulating Software-Defined Small-Cell Wireless Mesh Networks Using ns-3 and Mininet." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-68795.

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The objective of this thesis was to create a network emulator, suitable for evaluatingsolutions in a small-cell wireless mesh SDN backhaul network environment, by integratingexisting software. The most important efforts in this process have been a transparentintegration of Mininet and ns-3 at both the data and the control plane, with ns-3 servingas the front-end. The goal has been to design the system such that solutions revolvingaround fast failover, resilient routing, and energy efficient small cell management may beevaluated. The constituent components include an augmented ns-3 WiFi module withmillimeter wave communication capabilities; a socket API suitable for remote-controllermanagement, as well as the network emulator Mininet. Mininet in turn integrates OpenvSwitch, virtual hosts in the form of Linux network namespaces, and OpenFlow controllers.The work has also included a brief evaluation of the system, which revealed that the designhas a fundamental flaw.
SOCRA

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Imsuksri, Sumit. "Mobile order entry system based on the wireless technology." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2265.

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The sales representatives primary duties are to attract wholesale and retail buyers and purchasing agents to their merchandise, and to address any of their client's questions or concerns. Aided by a laptop computer connected to the Internet, they can access the customer information and sell products to their customer immediately. This project, a Mobile Order Entry System using cellphones, will give sales representatives as state-of-the-art alternative in accessing anf selling products to their customers through cell phones instead of using laptop computers.

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Books on the topic "Wireless data networking"

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Wireless data networking. Boston: Artech House, 1995.

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Ghosh, R. K. Wireless Networking and Mobile Data Management. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3941-6.

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Dell'Acqua, Alexa A. Wireless data communications. Charleston, SC USA: Mantek Services, Inc, 1995.

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Wireless multimedia communications: Networking video, voice, and data. Reading, Mass: Addison-Wesley, 1998.

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T, Velte Anthony, ed. Cisco 802.11 wireless networking quick reference. Indianapolis, Ind: Cisco Press, 2006.

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Chong, Ilyoung, and Kenji Kawahara, eds. Information Networking. Advances in Data Communications and Wireless Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919568.

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Davis, Harold. Absolute Beginner's Guide to Wi-Fi Wireless Networking. Upper Saddle River: Pearson Education, 2005.

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Seth, Fogie, ed. Maximum wireless security. Indianapolis, Ind: Sams, 2003.

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Peikari, Cyrus. Maximum Wireless Security. Upper Saddle River: Pearson Education, 2005.

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Home networking demystified. New York: McGraw-Hill/Osborne, 2005.

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Book chapters on the topic "Wireless data networking"

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Ghosh, R. K. "Cellular Wireless Communication." In Wireless Networking and Mobile Data Management, 21–54. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3941-6_2.

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Chatterjee, Mainak, SajalK Das, and GiridharD Mandyam. "Performance Evaluation of Voice-Data Integration for Wireless Data Networking." In Networking — ICN 2001, 157–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47728-4_16.

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Ghosh, R. K. "Wireless Local Area Network." In Wireless Networking and Mobile Data Management, 95–124. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3941-6_4.

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Xu, Rongtao, and Shiwen Liu. "Data Center Networking (DCN): Infrastructure and Operation." In Encyclopedia of Wireless Networks, 268–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_320.

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Xu, Rongtao, and Shiwen Liu. "Data Center Networking (DCN): Infrastructure and Operation." In Encyclopedia of Wireless Networks, 1–3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-32903-1_320-1.

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Xu, Yuedong, Eitan Altman, Rachid El-Azouzi, Salah Eddine Elayoubi, and Majed Haddad. "QoE Analysis of Media Streaming in Wireless Data Networks." In NETWORKING 2012, 343–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30054-7_27.

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Munaretto, Daniele, Chunlei An, Joerg Widmer, and Andreas Timm-Giel. "Efficient Sensor Data Gathering and Resilient Communication for Rescue Scenarios." In Wireless and Mobile Networking, 152–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03841-9_14.

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Sardouk, Ahmad, Rana Rahim-Amoud, Leïla Merghem-Boulahia, and Dominique Gaïti. "Information-Importance Based Communication for Large-Scale WSN Data Processing." In Wireless and Mobile Networking, 297–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03841-9_27.

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Fouquet, Marc, Christian Hoene, Morten Schläger, and Georg Carle. "Data Collection for Heterogeneous Handover Decisions in beyond 3G Networks." In Wireless and Mobile Networking, 347–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03841-9_31.

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Ghosh, R. K. "Mobile Distributed Systems: Networking and Data Management." In Wireless Networking and Mobile Data Management, 3–20. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3941-6_1.

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Conference papers on the topic "Wireless data networking"

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Al-Safwani, Maitham, and Mustafa Al-Jar. "UDP packet data transmission over TETRA radio system." In Wireless Networking (iCOST). IEEE, 2011. http://dx.doi.org/10.1109/icost.2011.6085818.

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Jaber, Ghada, Rahim Kacimi, and Thierry Gayraud. "Data Freshness Aware Content-Centric Networking in WSNs." In 2017 Wireless Days (WD). IEEE, 2017. http://dx.doi.org/10.1109/wd.2017.7918152.

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Moon, Cheoleun, Sungwon Han, Honguk Woo, and Dohyung Kim. "Named data networking for infrastructure wireless networks." In 2016 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2016. http://dx.doi.org/10.1109/icce.2016.7430640.

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Kavehrad, Mohsen, Peng Deng, H. Gupta, J. Longtin, S. R. Das, and V. Sekar. "FireFly: reconfigurable optical wireless networking data centers." In SPIE OPTO, edited by Benjamin B. Dingel, Katsutoshi Tsukamoto, and Spiros Mikroulis. SPIE, 2017. http://dx.doi.org/10.1117/12.2250637.

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"Session 7: Big Data and Wireless Networking." In 2020 15th International Conference for Internet Technology and Secured Transactions (ICITST). IEEE, 2020. http://dx.doi.org/10.23919/icitst51030.2020.9351321.

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Harkous, Hamza, Jad Makhlouta, Farah Hutayt, and Hassan Artail. "ACCOP: Adaptive Cost-Constrained and delay-optimized data allocation over parallel opportunistic networks." In Wireless Networking (iCOST). IEEE, 2011. http://dx.doi.org/10.1109/icost.2011.6085838.

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Tan, Xiaobin, Zifei Zhou, Cliff Zou, Yukun Niu, and Xin Chen. "Copyright protection in named data networking." In 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2014. http://dx.doi.org/10.1109/wcsp.2014.6992077.

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Amadeo, Marica, Claudia Campolo, Antonella Molinaro, and Nathalie Mitton. "Named Data Networking: A natural design for data collection in Wireless Sensor Networks." In 2013 IFIP Wireless Days (WD). IEEE, 2013. http://dx.doi.org/10.1109/wd.2013.6686486.

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Amadeo, Marica, Antonella Molinaro, Claudia Campolo, Manolis Sifalakis, and Christian Tschudin. "Transport layer design for named data wireless networking." In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2014. http://dx.doi.org/10.1109/infcomw.2014.6849276.

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Meng, Xiaoqiao, Thyaga Nandagopal, Starsky H. Y. Wong, Hao Yang, and Songwu Lu. "Scheduling Delay-Constrained Data in Wireless Data Networks." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.778.

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