Relevant bibliographies by topics / Mobility of mobile nodes

Contents

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

Academic literature on the topic 'Mobility of mobile nodes'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Mobility of mobile nodes"

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Jebaseeli Samuelraj, Ananthi, and Sundararajan Jayapal. "Efficient Mobility Management Signalling in Network Mobility Supported PMIPV6." Scientific World Journal 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/539394.

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Proxy Mobile IPV6 (PMIPV6) is a network based mobility management protocol which supports node’s mobility without the contribution from the respective mobile node. PMIPV6 is initially designed to support individual node mobility and it should be enhanced to support mobile network movement. NEMO-BSP is an existing protocol to support network mobility (NEMO) in PMIPV6 network. Due to the underlying differences in basic protocols, NEMO-BSP cannot be directly applied to PMIPV6 network. Mobility management signaling and data structures used for individual node’s mobility should be modified to suppo
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Abbas, Shatha, Mohammed J. F. Alenazi, and Amani Samha. "Mobility Prediction of Mobile Wireless Nodes." Applied Sciences 12, no. 24 (2022): 13041. http://dx.doi.org/10.3390/app122413041.

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Artificial intelligence (AI) is a fundamental part of improving information technology systems. Essential AI techniques have revolutionized communication technology, such as mobility models and machine learning classification. Mobility models use a virtual testing methodology to evaluate new or updated products at a reasonable cost. Classifiers can be used with these models to achieve acceptable predictive accuracy. In this study, we analyzed the behavior of machine learning classification algorithms—more specifically decision tree (DT), logistic regression (LR), k-nearest neighbors (K-NN), la
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Takebayashi, Naoki, and Hiroaki Higaki. "Relative Location Information Acquisition without Direct Distance Measurement in Mobile System." WSEAS TRANSACTIONS ON COMMUNICATIONS 23 (December 30, 2024): 137–41. https://doi.org/10.37394/23204.2024.23.18.

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Relative location information among multiple mobile nodes is critical for cooperative and competitive applications in mobile distributed systems. One of the effective conventional methods does not measure distances between pairs of mobile nodes directly. Angles formed by sets of three mobile nodes are achieved by camera images taken by omni-directional cameras mounted on all the mobile nodes. Search for sets of interior angles of triangles and measurement of distance between a pair of mobile nodes provides relative location information. This paper extends this conventional method to achieve th
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Verma, Jyotsna, and Nishtha Kesswani. "AMIGM: Animal Migration Inspired Group Mobility Model for Mobile Ad hoc Networks." Scalable Computing: Practice and Experience 20, no. 3 (2019): 577–90. http://dx.doi.org/10.12694/scpe.v20i3.1574.

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The most widespread notion of mobility model is the representation of mobile node’s movement pattern in the wireless ad hoc networks which has a significant impact on the performance of the network protocols. In this paper, we have proposed an Animal Migration Inspired Group Mobility (AMIGM) model for mobile ad hoc networks based on the migration behavior of animals like, insects, flock of birds, schools of fishes, reptiles, amphibians, etc. The propound model tries to overcome the limitations of the existing mobility models, such as temporal dependencies, spatial dependencies, geographical re
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Soelistijanto, Bambang, and Vittalis Ayu. "Improving Traffic Load Distribution Fairness in Mobile Social Networks." Algorithms 15, no. 7 (2022): 222. http://dx.doi.org/10.3390/a15070222.

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Mobile social networks suffer from an unbalanced traffic load distribution due to the heterogeneity in mobility of nodes (humans) in the network. A few nodes in these networks are highly mobile, and the proposed social-based routing algorithms are likely to choose these most “social” nodes as the best message relays. Finally, this could lead to inequitable traffic load distribution and resource utilisation, such as faster battery drain and/or storage consumption of the most (socially) popular nodes. We propose a framework called Traffic Load Distribution Aware (TraLDA) to improve traffic load
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Yu, Ruiyun, Xingyou Xia, Shiyang Liao, and Xingwei Wang. "A Location Prediction Algorithm with Daily Routines in Location-Based Participatory Sensing Systems." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/481705.

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Mobile node location predication is critical to efficient data acquisition and message forwarding in participatory sensing systems. This paper proposes a social-relationship-based mobile node location prediction algorithm using daily routines (SMLPR). The SMLPR algorithm models application scenarios based on geographic locations and extracts social relationships of mobile nodes from nodes’ mobility. After considering the dynamism of users’ behavior resulting from their daily routines, the SMLPR algorithm preliminarily predicts node’s mobility based on the hidden Markov model in different daily
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Al-Hattab, Mohammad, and Nuha Hamada. "Prediction of nodes mobility in 3-D space." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3229. http://dx.doi.org/10.11591/ijece.v11i4.pp3229-3240.

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<span>Recently, mobility prediction researches attracted increasing interests, especially for mobile networks where nodes are free to move in the three-dimensional space. Accurate mobility prediction leads to an efficient data delivery for real time applications and enables the network to plan for future tasks such as route planning and data transmission in an adequate time and a suitable space. In this paper, we proposed, tested and validated an algorithm that predicts the future mobility of mobile networks in three-dimensional space. The prediction technique uses polynomial regression
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Ortíz Triviño, Jorge Eduardo, Jaime Leonardo Bobadilla Molina, and Miguel Arnulfo Saumett León. "Simulation and evaluation of ad hoc networks under different mobility models." Ingeniería e Investigación 23, no. 3 (2003): 44–50. http://dx.doi.org/10.15446/ing.investig.v23n3.14705.

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In the performance evaluation of a protocol for an ad hoc network, the protocol should be tested under realistic conditions including realistic movements of the mobile users (a mobility model). In this paper we revise several mobility models used in the simulations of mobile networks including mobility models that represent mobile nodes whose movements are independent of each other and mobility models that represent mobile nodes whose movements are dependent on each other (group mobility models). We present simulation results in NS-2 that illustrate the importance of choosing a mobility model
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Gao, Zhenxiang, Yan Shi, and Shanzhi Chen. "Measures of node centrality in mobile social networks." International Journal of Modern Physics C 26, no. 09 (2015): 1550107. http://dx.doi.org/10.1142/s0129183115501077.

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Mobile social networks exploit human mobility and consequent device-to-device contact to opportunistically create data paths over time. While links in mobile social networks are time-varied and strongly impacted by human mobility, discovering influential nodes is one of the important issues for efficient information propagation in mobile social networks. Although traditional centrality definitions give metrics to identify the nodes with central positions in static binary networks, they cannot effectively identify the influential nodes for information propagation in mobile social networks. In t
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Kim, HyunGon, and Jong-Hyouk Lee. "Diffie-Hellman Key Based Authentication in Proxy Mobile IPv6." Mobile Information Systems 6, no. 1 (2010): 107–21. http://dx.doi.org/10.1155/2010/934286.

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Wireless communication service providers have been showing strong interest in Proxy Mobile IPv6 for providing network-based IP mobility management. This could be a prominent way to support IP mobility to mobile nodes, because Proxy Mobile IPv6 requires minimal functionalities on the mobile node. While several extensions for Proxy Mobile IPv6 are being developed in the Internet Engineering Task Force, there has been little attentions paid to developing efficient authentication mechanisms. An authentication scheme for a mobility protocol must protect signaling messages against various security t
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Dissertations / Theses on the topic "Mobility of mobile nodes"

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Alla, Sindhu. "A Study of Mobility Models based on Spatial Node Distribution and Area Coverage." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984231/.

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Mobile wireless sensor networks are not widely implemented in the real world, even after years of research carried out in this field. One reason is the lack of understanding of the impact that mobility has on network performance. The simulation and emulation of mobile wireless sensor networks is necessary before they are deployed for the real-world applications. This thesis presents a simulation-based study of different mobility models. The total area coverage that depends on the pattern of node movements is observed through simulations. The spatial distribution of node locations is also studi
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Gaudin, Indicatti Pauline. "L'acte d'image : notes, réflexions, positions : naviguer, ici ou ailleurs, avec (ou sans) son mobile." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAC040/document.

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À une époque où les technologies digitales, la profusion d’images reçues et partagées, la vitesse et la mobilité n’ont jamais été si manifestes, se pose la question de la relation entre les gestes, les objets connectés et les pratiques créatives artistiques voire « amateures ». Dans un monde désormais localisable, connu et reconnu de tous, l’expérience du voyage traditionnel aurait-elle laissé place à la navigation de tous les jours sur Internet ? Que provoque la présence de cet outil dans l’expérimentation de l’artiste ? Comment l’utilise-t-il ? Montre-t-il, d’ailleurs, quelque chose de cette
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Skořepa, Michal. "Nové trendy v oblasti mobility v datových sítích." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-233646.

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Dizertační práce se zabývá návrhem nového algoritmu řízení handoveru v rámci protokolu Mobile IPv6, který umožní nasazení tohoto protokolu v leteckých datových sítích. Existující algoritmy řízení handoveru sice dosahují dostatečné výkonnosti v konvenčních pozemních bezdrátových sítích disponujích velkou šířkou pásma a nízkou latencí, jako jsou WiFi nebo UMTS, ale jak ukazuje tato práce, nasazení těchto algoritmů prostředí leteckých datových sítí nepřináší očekávané výhody. Analýza ukazuje, že v úzkopásmových leteckých sítích trpí tyto algoritmy řízení handoveru velkou latencí a způsobují značn
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Mondal, Sharup Barua &amp Ratan Chandra. "Impact of Node Mobility on the Voice Quality in Mobile Ad-hoc Network (MANET)." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4156.

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Enormous developing electronic technology has brought telecommunication to the sky inspiring popularity. Wireless Network (WN) technology will be emerging so far human. Presently users give the impression loving be connected all the time (everywhere) to the network or Internet through diverse access system, e.g., Universal Mobile Telecommunications System, Mobile Ad-hoc Network (MANET) [9] and Worldwide Interoperability for Microwave Access [30]. In telecommunication; MANET is considered as self-configured unlike nodes creating infrastructure-less network connected by means of WN, as nodes can
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Salimi, Neberd, and Amir Hossein Ghoreshi. "Mobile Applications Mobility." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26776.

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The use of mobile devices and mobile applications has soared in recent years. People are using mobile devices and applications for everyday tasks. Compared with desktop computers, smart phones have some limitations such as screen size, limited bandwidth and storage capacity that can be a big challenge. Another challenge is to ensure consistency across platforms and devices. In addition to this, a mobile application is short-lived if it is too advanced to be used. In this paper we present the user interface that is adopted in the Smart Media news recommendation project. We are building a mobile
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Ben, Rayana Rayene. "A smart management framework for multihomed mobile nodes & mobile routers." Télécom Bretagne, 2010. http://www.theses.fr/2010TELB0130.

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Le paysage du monde des télécommunications a beaucoup changé ces dernières années. Les nouveaux mobiles, dits de quatrième génération, sont dotés de plusieurs interfaces de communication afin de mieux exploiter les différents réseaux d'accès disponibles. La prochaine étape : utiliser la multi-domiciliation, ou multihoming, pour exploiter cette diversité et assurer une connectivité fiable et peu onéreuse. Cependant, plusieurs problématiques résultent de l'utilisation simultanée de plusieurs réseaux : la consommation d'énergie, préoccupation majeure des équipementiers; l'augmentation du coût, po
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Blum, Christian. "Self-organization in networks of mobile sensor nodes." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17383.

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Selbstorganisierte drahtlose (ad hoc) Multihopnetzwerke können als einfach einsetzbare, robuste und rekonfigurierbare Kommunikationsinfrastruktur zum Beispiel in Katastrophenszenarien eingesetzt werden. Solche drahtlosen Netzwerke nutzen die Luft als geteiltes Kommunikationsmedium, was bedeutet, dass die Parameter des Netzwerks sehr orts- und zeitveränderlich sowie verrauscht sind. Intelligente Roboter können als Netzwerkknoten diese Herausforderungen bewältigen, indem sie sensomotorische Interaktion ausnutzen. Für einzelne Roboter wurde ein Algorithmus zur Exploration unbekannter Netzwerke
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Özkul, Didem. "Mobile nodes : mobile and locative media, everyday life and sense of place." Thesis, University of Westminster, 2014. https://westminsterresearch.westminster.ac.uk/item/8yw0w/mobile-nodes-mobile-and-locative-media-everyday-life-and-sense-of-place.

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This thesis presents an analysis of the relationship that exists between the use of place-specific information in mobile communication technologies and the different aspects of place-making and self-presentation in London. Through a study of empirical data collected from seven focus groups, during which a total of 38 participants were asked to draw sketch maps of London to shed light on social and spatial interactions in the urban space related to the proliferation of mobile communication technologies and their location-aware features. To this end, the development of locative media within spec
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Singamsetty, Ratna Sireesha. "Detection of Malicious Nodes in Mobile Ad hoc Networks." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321043030.

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MASSARINI, RENO. "POWER - AWARE MOBILE SENSOR NETWORKS WITH RECONFIGURABLE COMPUTING NODES." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1159198177.

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Books on the topic "Mobility of mobile nodes"

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S, Milojičić Dejan, Douglis Frederick, and Wheeler Richard 1962-, eds. Mobility: Processes, computers, and agents. Addison-Wesley, 1999.

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Ramjee, Prasad, and Ojanperä Tero, eds. WCDMA: Towards IP mobility and mobile internet. Artech House, 2001.

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Tero, Ojanperä, and Prasad Ramjee, eds. WCDMA: Towards IP mobility and mobile internet. Artech House, 2001.

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Heikki, Kaaranen, ed. UMTS networks: Architecture, mobility, and services. 2nd ed. J. Wiley & Sons, 2005.

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Dieckmann, Tone. The evolution of conventions with mobile players. Maynooth College, Department of Economics, 1997.

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Montegary, Liz, and Melissa Autumn White, eds. Mobile Desires: The Politics and Erotics of Mobility Justice. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137464217.

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Roy, Radhika Ranjan. Handbook of Mobile Ad Hoc Networks for Mobility Models. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-6050-4.

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Ram, Nandu. The mobile scheduled castes: Rise of a new middle class. Hindustan Pub. Corp., 1988.

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J, Mitchell Chris, and Institution of Electrical Engineers, eds. Security for mobility. Institution of Electrical Engineers, 2004.

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Braun, Peter. Mobile agents: Basic concepts, mobility models, and the Tracy toolkit. Elsevier, 2005.

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Book chapters on the topic "Mobility of mobile nodes"

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Han, Youn-Hee, and Seung-Hee Hwang. "Analysis of Movement Detection Process for IPv6 Mobile Nodes." In Mobility Aware Technologies and Applications. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569510_11.

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Almas-Shehni, Rezvan, and Karim Faez. "Detection of Sybil Nodes in Mobile Sensor Networks Using the Context of Nodes Mobility." In Communications in Computer and Information Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10903-9_10.

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D’Aurelio, Donato, Mario Nespoli, Michele Travaglini, et al. "Configuration data verification and design techniques for mobile network architecture nodes." In Multiaccess, Mobility and Teletraffic in Wireless Communications: Volume 4. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-5920-4_22.

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Faria, Ricardo, Lina Brito, Karolina Baras, and José Silva. "Smart Mobility: A Mobile Approach." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14757-0_8.

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Zachariadis, Stefanos, Cecilia Mascolo, and Wolfgang Emmerich. "Adaptable Mobile Applications: Exploiting Logical Mobility in Mobile Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39646-8_16.

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Picco, Gian Pietro, Gruia-Catalin Roman, and Peter J. McCann. "Expressing code mobility in mobile UNITY." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63531-9_33.

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Harriehausen-Muhlabauter, Bettina. "Mobile Navigation for Limited Mobility Users." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07725-3_53.

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Park, Jin, Young-Joo Suh, and Shin-Gak Kang. "Supporting Mobile Multicast in Mobile Networks by Considering Host Mobility." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36166-9_23.

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Satoh, Ichiro. "Organization and Mobility in Mobile Agent Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11678823_12.

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Park, Anthony Sang-Bum, Steffen Lipperts, Birgit Kreller, and Björn Schiemann. "Mobility Support with a Mobile Agent System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48165-6_11.

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Conference papers on the topic "Mobility of mobile nodes"

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Lee, Jong-Hyouk, and Thierry Ernst. "Fast PMIPv6 Multicast Handover Procedure for Mobility-Unaware Mobile Nodes." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956334.

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Wang, Tian, Zhen Peng, Yonghong Chen, Yiqiao Cai, and Hui Tian. "Continuous tracking for mobile targets with mobility nodes in WSNs." In 2014 International Conference on Smart Computing (SMARTCOMP). IEEE, 2014. http://dx.doi.org/10.1109/smartcomp.2014.7043867.

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Shun-Zheng Yu. "Multiple tracking based anomaly detection of mobile nodes." In IEE Mobility Conference 2005. The Second International Conference on Mobile Technology, Applications and Systems. IEEE, 2005. http://dx.doi.org/10.1109/mtas.2005.243755.

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Shun-Zheng Yu. "Multiple tracking based anomaly detection of mobile nodes." In IEE Mobility Conference 2005. The Second International Conference on Mobile Technology, Applications and Systems. IEE, 2005. http://dx.doi.org/10.1049/cp:20051545.

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Qiu, Ying, Jianying Zhou, Kouichi Sakurai, and Feng Bao. "Trusted Connection between Mobile Nodes and Mobility Anchor Points in Hierarchical Mobile IPv6." In 2008 Third Asia-Pacific Trusted Infrastructure Technologies Conference (APTC). IEEE, 2008. http://dx.doi.org/10.1109/aptc.2008.21.

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Guezouli, Lyamine, Kamel Barka, Souheila Bouam, Djamila Bouhta, and Souha Aouti. "Mobile sensor nodes collaboration to optimize routing process based mobility model." In 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2017. http://dx.doi.org/10.1109/wincom.2017.8238161.

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Bhattacharya, Arpita, Sourav Das, Avijit Gayen, and Nilotpal Chakraborty. "HAP: Hierarchical attachment process for mobile nodes in nested network mobility." In 2017 IEEE Region 10 Symposium (TENSYMP). IEEE, 2017. http://dx.doi.org/10.1109/tenconspring.2017.8070047.

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Al-Qadami, Nasser, Inas Laila, Andrey Koucheryavy, and Ahmad Saker Ahmad. "Mobility adaptive clustering algorithm for wireless sensor networks with mobile nodes." In 2015 17th International Conference on Advanced Communication Technology (ICACT). IEEE, 2015. http://dx.doi.org/10.1109/icact.2015.7224770.

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Pettorali, Marco, Francesca Righetti, and Carlo Vallati. "Mobile6TiSCH: a Simulator for 6TiSCH-based Industrial IoT Networks with Mobile Nodes." In 2022 18th International Conference on Mobility, Sensing and Networking (MSN). IEEE, 2022. http://dx.doi.org/10.1109/msn57253.2022.00102.

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Nguyen, Dang Duc, Yang Xia, Mai Ngoc Son, Chai Kiat Yeo, and Bu Sung Lee. "A Mobility Management Scheme with QoS Support for Heterogeneous Multihomed Mobile Nodes." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.1021.

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Reports on the topic "Mobility of mobile nodes"

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Dolev, Shlomi, Seth Gilbert, Elad Schiller, and Alex Shvartsman. Autonomous Virtual Mobile Nodes. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada466762.

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Arkko, J., V. Devarapalli, and F. Dupont. Using IPsec to Protect Mobile IPv6 Signaling Between Mobile Nodes and Home Agents. RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3776.

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Tassiulas, L., and F. M. Anjum. Efficient Location Tracking of Mobile Nodes for Situation Awareness. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada439719.

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Sun, Jun, and Carl Fossa. On Heterogeneous Mobile Network Connectivity: Number of Gateway Nodes. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada570134.

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Soliman, H., C. Castelluccia, K. El, and L. Bellier. Hierarchical Mobile IPv6 Mobility Management (HMIPv6). RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4140.

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Soliman, H., C. Castelluccia, K. ElMalki, and L. Bellier. Hierarchical Mobile IPv6 (HMIPv6) Mobility Management. RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5380.

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Leung, K., G. Dommety, V. Narayanan, and A. Petrescu. Network Mobility (NEMO) Extensions for Mobile IPv4. RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5177.

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Jeon, S., and Y. Kim. Multicast Mobility Routing Optimizations for Proxy Mobile IPv6. RFC Editor, 2013. http://dx.doi.org/10.17487/rfc7028.

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de la Oliva, A., F. Giust, and A. Mourad. Proxy Mobile IPv6 Extensions for Distributed Mobility Management. RFC Editor, 2020. http://dx.doi.org/10.17487/rfc8885.

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Devarapalli, V., and P. Eronen. Secure Connectivity and Mobility Using Mobile IPv4 and IKEv2 Mobility and Multihoming (MOBIKE). RFC Editor, 2008. http://dx.doi.org/10.17487/rfc5266.

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