Relevant bibliographies by topics / Mobile Wireless Networks

Contents

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

Academic literature on the topic 'Mobile Wireless Networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Mobile Wireless Networks"

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Alrashed, Ebrahim A., and Mehmet Hakan Karaata. "Imposter Detection in Mobile Wireless Sensor Networks." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 434–41. http://dx.doi.org/10.7763/ijcce.2014.v3.364.

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Pranjali, V. Gurnule. "Wireless Jamming Networks." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1931–35. https://doi.org/10.31142/ijtsrd14455.

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A mobile jammer is a device which is used to jam signals of a cell phone from receiving signals from base stations. Mobile jammer is used majorly where the disturbances that are occurred with the cell phones. So, in this paper we are designing a new Mobile Jammer unit which is capable of blocking the working of a cell phone from not receiving signal from Base Station. This was implemented using FPGA by interfacing Mobile Device, RF Transmitter and RF Receiver and LCD Unit. Keywords-Jammers, Mobile Jammer, FPGA, RF Transmitter, RF Receiver, LCD Pranjali V Gurnule "Wireless Jamming Networks
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Kolios, Panayiotis, Vasilis Friderikos, and Katerina Papadaki. "Future Wireless Mobile Networks." IEEE Vehicular Technology Magazine 6, no. 1 (2011): 24–30. http://dx.doi.org/10.1109/mvt.2010.939905.

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You, Ilsun, and Takahiro Hara. "Mobile and Wireless Networks." Mobile Information Systems 6, no. 1 (2010): 1–3. http://dx.doi.org/10.1155/2010/201674.

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S.SivaNageswara Rao, Dr, Orchu Aruna, and Dr K.Lakshminadh. "Mobile ad hoc network integrated wireless networks: a survey." International Journal of Engineering & Technology 7, no. 1.9 (2018): 217. http://dx.doi.org/10.14419/ijet.v7i1.9.9827.

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Now a day, every one using mobile devices for communicating with others. The development of new technologies, like Internet of Things (IoT) needs coverage, connectivity, scalability and QoS. In ubiquity networks, the major issues are coverage, connectivity, scalability and QoS. To solve these limitations, integrating wireless networks with ad hoc networks. This paper provides detail survey on how ad hoc networks are integrated with Cellular Network, Wireless Mesh Networks and Wireless Sensor Networks. This integration may resolve the problems of coverage, connectivity, scalability and QoS.
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Xu, Xia, Jin Tang, and Hua Xiang. "Data Transmission Reliability Analysis of Wireless Sensor Networks for Social Network Optimization." Journal of Sensors 2022 (January 6, 2022): 1–12. http://dx.doi.org/10.1155/2022/3842722.

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With the rapid development of the Internet in recent years, people are using the Internet less and less frequently. People publish and obtain information through various channels on the Internet, and online social networks have become one of the most important channels. Many nodes in social networks and frequent interactions between nodes create great difficulties for privacy protection, and some of the existing studies also have problems such as cumbersome computational steps and low efficiency. In this paper, we take the complex environment of social networks as the research background and f
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Kim, Dae-Young, Dae-sik Ko, and Seokhoon Kim. "Network Access Control for Location-Based Mobile Services in Heterogeneous Wireless Networks." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6195024.

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Recent advances in information communication technology and software have enabled mobile terminals to employ various capabilities as a smartphone. They adopt multiple interfaces for wireless communication and run as a portable computer. Mobile services are also transferred from voice to data. Mobile terminals can access Internet for data services anytime anywhere. By using location-based information, improved mobile services are enabled in heterogeneous networks. In the mobile service environment, it is required that mobile terminals should efficiently use wireless network resources. In additi
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Paliwal, Rakesh, and Irfan Khan. "Design and Analysis of Soft Computing Based Improved Routing Protocol in WSN for Energy Efficiency and Lifetime Enhancement." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 3 (2022): 12–24. http://dx.doi.org/10.17762/ijritcc.v10i3.5521.

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Mobile wireless sensor networks have been developed as a result of recent advancements in wireless technologies. Sensors in the network are low-cost and have a short battery life, in addition to their mobility. They are more applicable in terms of the essential properties of these networks. These networks have a variety of uses, including search and rescue operations, health and environmental monitoring, and intelligent traffic management systems, among others. According to the application requirements, mobile wireless sensor nodes are energy limited equipment, so energy conservation is one of
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Gerla, Mario, Carla-Fabiana Chiasserini, Kenichi Mase, Eytan Modiano, and Jason Redi. "Mobile ad hoc wireless networks." Journal of Communications and Networks 6, no. 4 (2004): 291–94. http://dx.doi.org/10.1109/jcn.2004.6596848.

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Gozalvez, Javier. "Heterogeneous Wireless Networks [Mobile Radio]." IEEE Vehicular Technology Magazine 6, no. 2 (2011): 9–13. http://dx.doi.org/10.1109/mvt.2011.941495.

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Dissertations / Theses on the topic "Mobile Wireless Networks"

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Haghnegahdar, Alireza. "Interference in wireless mobile networks." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46713.

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Given a set of positions for wireless nodes, the interference minimization problem is to assign a transmission radius (i.e., a power level) to each node such that the resulting communication graph is connected, while minimizing the maximum (respectively, average) interference. We consider the model introduced by von Rickenbach et al. (2005), in which each wireless node is represented by a point in Euclidean space on which is centered a transmis- sion range represented by a ball, and edges in the corresponding graph are symmetric. The problem is NP-complete in two or more dimensions (Buchin 200
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Ma, Wenchao. "Mobility management for wireless mobile networks." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001252.

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Xu, Ji. "Data caching in wireless mobile networks /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20XU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 57-60). Also available in electronic version. Access restricted to campus users.
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Shigueta, Roni. "Channel Allocation in Mobile Wireless Networks." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX037/document.

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L'utilisation intensive des services de données mobiles a de plus en plus augmenté la consommation de ressources sur les réseaux sans fil. La ressource principale utilisée pour la communication sans fil est le spectre de fréquence. À mesure que le trafic de données augmente brusquement, de nouvelles bandes du spectre de fréquences ne sont pas disponibles dans la même proportion, ce qui rend le spectre de fréquence de plus en plus rare et saturé. Plusieurs propositions ont été présentées pour optimiser l'allocation des canaux de fréquences afin d'atténuer les interférences entre les liaisons pr
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Dai, Lillian Lei 1978. "Proactive mobile wireless networks : an infrastructureless wireless network architecture for delay-sensitive applications." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44409.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 197-213).<br>Infrastructureless wireless networks are an important class of wireless networks that is best suited for scenarios where there is temporary and localized telecommunication demand. Such networks consist of wireless devices that can form a network autonomously without the need for pre-deployed telecommunication infrastructures such as base-stations and access points. Over the past several decades, significant research and deve
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Wang, Hao. "Performance modelling of network management schemes for mobile wireless networks." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/13192.

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Cherriman, Peter John. "Mobile video networking." Thesis, University of Southampton, 1998. https://eprints.soton.ac.uk/251962/.

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Zhou, Xiaoli. "Green Communication Protocols for Mobile Wireless Networks." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35809.

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Wireless networks enter a new era in which various objects, such as mobile phones, computers, vehicles, watches, are automatically and intelligently connected to provide ubiquitous services. Green communication protocols are required to save energy consumption and improve transmission performance. MAC protocols can detect the signal status and energy consumptions of physical channels to adapt to the dynamic wireless conditions. They can also provide node-to-node transmissions for network layer protocols under green wireless networks. The thesis presents three energy efficient communicati
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Alhmiedat, Tareq Ali. "Tracking mobile targets through Wireless Sensor Networks." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/5524.

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In recent years, advances in signal processing have led to small, low power, inexpensive Wireless Sensor Network (WSN). The signal processing in WSN is different from the traditional wireless networks in two critical aspects: firstly, the signal processing in WSN is performed in a fully distributed manner, unlike in traditional wireless networks; secondly, due to the limited computation capabilities of sensor networks, it is essential to develop an energy and bandwidth efficient signal processing algorithms. Target localisation and tracking problems in WSNs have received considerable attention
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Tyler, Neville Roy. "Robust adaptive antennas for mobile wireless networks." Thesis, King's College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418121.

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Books on the topic "Mobile Wireless Networks"

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Wu, Yulei, Sukhdeep Singh, Tarik Taleb, et al., eds. 6G Mobile Wireless Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72777-2.

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Al Agha, Khaldoun, Guy Pujolle, and Tara Ali-Yahiya. Mobile and Wireless Networks. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119007548.

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Daniel, Collins, ed. 3G wireless networks. McGraw-Hill, 2002.

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Clint, Smith. 3G Wireless Networks. McGraw-Hill, 2001.

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Daniel, Collins, ed. 3G wireless networks. 2nd ed. McGraw-Hill, 2007.

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Shorey, Rajeev, Akkihebbal L. Ananda, Mun Choon Chan, and Wei Tsang Ooi, eds. Mobile, Wireless, and Sensor Networks. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471755591.

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Ahmad, Aftab. Wireless and Mobile Data Networks. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471729221.

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Ahmad, Aftab. Wireless and Mobile Data Networks. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471729221.

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Omidyar, Cambyse Guy, ed. Mobile and Wireless Communications Networks. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45494-2.

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Pujolle, Guy, ed. Mobile and Wireless Communication Networks. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34736-3.

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Book chapters on the topic "Mobile Wireless Networks"

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Cheng, Xiang, Luoyang Fang, Liuqing Yang, and Shuguang Cui. "Mobile Big Data." In Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96116-3_1.

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Gao, Jie, Mushu Li, and Weihua Zhuang. "Edge-Assisted Mobile VR." In Wireless Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88743-8_5.

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Wang, Jingjing, and Chunxiao Jiang. "Mobile Edge Computing in FANET." In Wireless Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8850-8_5.

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Hassan, Mahbub. "Aerial Wireless Networks." In Wireless and Mobile Networking. CRC Press, 2022. http://dx.doi.org/10.1201/9781003042600-20.

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Du, Jun, and Chunxiao Jiang. "Cooperative Data Transaction in Mobile Networks." In Wireless Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7648-3_15.

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Du, Jun, and Chunxiao Jiang. "Cooperative Privacy Protection Among Mobile User." In Wireless Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7648-3_17.

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Yao, Haipeng, and Mohsen Guizani. "Mobile Edge Computing Enabled Intelligent IoT." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26987-5_6.

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Zhao, Yong, Zhengqiu Zhu, and Bin Chen. "Cost-Quality Aware Compressive Mobile Crowdsensing." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32397-3_9.

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Xiao, Mingjun, Yin Xu, and He Sun. "Unknown Worker Recruitment in Mobile Crowdsourcing." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32397-3_3.

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Chen, Honglong, Guoqi Ma, and Yang Huang. "Spatiotemporal Task Allocation in Mobile Crowdsensing." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32397-3_7.

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Conference papers on the topic "Mobile Wireless Networks"

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Marandi, Arun Kumar, Murli Manohar Gour, and Suhas Ballal. "Evaluation of Network Coding Algorithms in Mobile Wireless Networks." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725359.

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J. Grahn, Kaj, Göran Pulkkis, and Jean-Sebastien Guillard. "Security of Mobile and Wireless Networks." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2491.

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This paper gives a topical overview of wireless network security aspects. Security measures taken depend on the different protocols, standards, techniques and systems available. A brief introduction to security protocols, standards and corresponding technologies is given. The essay will concentrate on 2G, 2.5G, 3G and wireless local area networks. Standards, like WAP, IEEE 802.11, HomeRF, HIPERLAN/2, IPSec and Bluetooth, are included. A local area network, MediaPoli, has been implemented to work as a testbed for new innovations, products and services. The development environment is based on th
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Madhag, Aqeel, and Jongeun Choi. "Distributed Navigation Strategy of Mobile Sensor Networks With Probabilistic Wireless Communication Links." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9964.

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Mobile sensor networks have been widely used to predict spatio-temporal physical phenomena for various scientific and engineering applications. To accommodate the realistic models of mobile sensor networks, we incorporated probabilistic wireless communication links based on packet reception ratio (PRR) with distributed navigation. We then derived models of mobile sensor networks that predict Gaussian random fields from noise-corrupted observations under probabilistic wireless communication links. For the given model with probabilistic wireless communication links, we derived the prediction err
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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data
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Sterbenz, James P. G., Rajesh Krishnan, Regina Rosales Hain, et al. "Survivable mobile wireless networks." In the ACM workshop. ACM Press, 2002. http://dx.doi.org/10.1145/570681.570685.

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Jensen, Austin M., and YangQuan Chen. "Mobile Manipulator Networks: Platform Development and Applications." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34412.

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This paper presents a new platform with a team of lab-scale networked mobile robotic manipulators (SumoMote) which merges a mobile manipulator with wireless mobile sensor networks. Many existing platforms built for mobile manipulation are big and expensive. Our SumoMote is built small and inexpensive for applications where quantity is more important than size. The hardware and software of the SumoMote will be described. Then two application scenarios will be presented to illustrate SumoMote’s capability in mobile sensor networks and how the added manipulator can help.
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Lo, Anthony, Weidong Lu, Martin Jacobsson, Venkatesha Prasad, and Ignas Niemegeers. "Personal Networks: An Overlay Network of Wireless Personal Area Networks and 3G Networks." In 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems. IEEE, 2006. http://dx.doi.org/10.1109/mobiqw.2006.361778.

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Gholami, Mohammad, and Robert W. Brennan. "An Agent-Based System to Simulate Dynamic and Noisy Ambience of Industrial Wireless Sensor Networks." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46797.

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In this paper, we propose a multi-agent systems approach for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on the development of a set of simulation models to support our distributed management approach for tracking mobile nodes in a large-scale industrial wireless sensor network. Our simulation models build on models and concepts from the literature on wireless sensor networks and wireless communication, with adaptations to address the needs of an industrial environment. An example of mobile node
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Adim, Satya Prakash. "REDUCING PACKET DELAY AND LOSS IN HETEROGENEOUS 5G MOBILE WIRELESS NETWORK." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.64.

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Reconstruction and catastrophe response require effective communication. However, the bulk of public safety land mobile radio (LMR) networks now in use only provide narrowband phone service and only partially support low- speed data services due to packet loss, delay, and reduced resource usage. Thus, high resource usage strategies are needed. The Session Initiation Protocol (SIP) and a common radio resource management framework are the technologies now in use to enable interoperability between cellular and LMR networks.SIP stands for Seamless Handoff Protocol. Here, we explore ways to enhance
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Al-Ka'bi, Amin H. "Security in mobile wireless networks." In 2013 International Conference on Signal Processing and Communication (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icspcom.2013.6719746.

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Reports on the topic "Mobile Wireless Networks"

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Pursley, Michael B. Adaptive Protocols for Mobile Wireless Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada442751.

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Pursley, Michael B. Adaptive Protocols for Mobile Wireless Networks. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada404365.

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Pursley, Michael B. Adaptive Protocols for Mobile Wireless Networks. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390176.

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Sivalingam, Krishna M. Energy Efficient Network Protocols for Wireless and Mobile Networks. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada400626.

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Michail, Anastassios, and Anthony Ephremides. Routing Algorithms in All-Mobile Wireless Networks. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada440810.

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Bakshi, Bikram S., P. Krishna, N. H. Vaidya, and D. K. Pradhan. Providing Seamless Communications in Mobile Wireless Networks. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada637094.

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Goldsby, Michael E., Michael M. Johnson, Dominique Marie Kilman, et al. Robust message routing for mobile (wireless) ad hoc networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/918216.

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Yeh, Edmund M. Connectivity and Resilience in Large-Scale Mobile Wireless Networks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada577083.

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Muchnik, Ilya B., William M. Pottenger, and Nikita I. Lytkin. Anomaly Detection by Reasoning from Evidence in Mobile Wireless Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada501011.

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Kondi, Lisimachos P. Cross-Layer Resource Allocation for Wireless Visual Sensor Networks and Mobile Ad Hoc Networks. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada619869.

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