Academic literature on the topic 'Connectivity-aware'
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Journal articles on the topic "Connectivity-aware"
Duari, Swagata, and Vasudha Bhatnagar. "sCAKE: Semantic Connectivity Aware Keyword Extraction." Information Sciences 477 (March 2019): 100–117. http://dx.doi.org/10.1016/j.ins.2018.10.034.
Full textGhafoor, Huma, Insoo Koo, and Nasir-ud-Din Gohar. "Neighboring and Connectivity-Aware Routing in VANETs." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/789247.
Full textJeong, Rae-Jin, and Kang-Whan Lee. "Context-aware Connectivity Analysis in Delay Tolerant Networks." Procedia Computer Science 63 (2015): 177–82. http://dx.doi.org/10.1016/j.procs.2015.08.330.
Full textTamboli, Neelofer, and Mohamed Younis. "Coverage-aware connectivity restoration in mobile sensor networks." Journal of Network and Computer Applications 33, no. 4 (July 2010): 363–74. http://dx.doi.org/10.1016/j.jnca.2010.03.008.
Full textZHANG, Li-Feng, Bei-Hong JIN, and Wei ZHUO. "On Connectivity-Aware and Reliable Data Dissemination in VANETs." Chinese Journal of Computers 36, no. 4 (March 13, 2014): 701–15. http://dx.doi.org/10.3724/sp.j.1016.2013.00701.
Full textHaider, Ammar, Iqbal Gondal, and Joarder Kamruzzaman. "Social-connectivity-aware vertical handover for heterogeneous wireless networks." Journal of Network and Computer Applications 36, no. 4 (July 2013): 1131–39. http://dx.doi.org/10.1016/j.jnca.2013.01.010.
Full textLiu, Xuxun. "Survivability-Aware Connectivity Restoration for Partitioned Wireless Sensor Networks." IEEE Communications Letters 21, no. 11 (November 2017): 2444–47. http://dx.doi.org/10.1109/lcomm.2017.2699174.
Full textIbrahim, Ahmed S., Karim G. Seddik, and K. J. Ray Liu. "Connectivity-aware network maintenance and repair via relays deployment." IEEE Transactions on Wireless Communications 8, no. 1 (January 2009): 356–66. http://dx.doi.org/10.1109/t-wc.2009.080045.
Full textZhao, Xin, Yaodong Zhang, Chunxiao Jiang, Jian Yuan, and Jiannong Cao. "Mobile-Aware Topology Control Potential Game: Equilibrium and Connectivity." IEEE Internet of Things Journal 3, no. 6 (December 2016): 1267–73. http://dx.doi.org/10.1109/jiot.2016.2587102.
Full textHu, Jiafeng, Beihong Jin, Fusang Zhang, Zhaoyang Wang, and Yuwei Yang. "Towards connectivity-aware deployment and adjustment for roadside units." International Journal of Autonomous and Adaptive Communications Systems 9, no. 1/2 (2016): 119. http://dx.doi.org/10.1504/ijaacs.2016.075390.
Full textDissertations / Theses on the topic "Connectivity-aware"
Hultman, Tim. "Signal-Aware Route Planning." Thesis, Linköpings universitet, Programvara och system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128101.
Full textGad, Mahmoud M. "Connectivity-Aware Routing Algorithms for Cognitive Radio Networks." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32353.
Full textShah, Vijay K. "A DIVERSE BAND-AWARE DYNAMIC SPECTRUM ACCESS ARCHITECTURE FOR CONNECTIVITY IN RURAL COMMUNITIES." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/82.
Full textLopes, Roberto Rigolin Ferreira. "Uma abordagem ciente de contexto e embasada por feedbacks para o gerenciamento de handovers em ambientes NGN." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05092012-143719/.
Full textThe evolution of mobile computing improves communication and collaboration among people. The main pillars of this transformation are: the development and production of mobile devices with multimedia capabilities and equipped with two or more network interfaces, the availability of ubiquitous wireless connectivity and the popularity of online social applications. Online social networks noteworthy features that allow for the creation and sharing of digital content within social circles, also called textit Social Media. Web Services attach the geographic location of the device to the digital content, creating the so-called textit location-based social media. Equipped with their phones and tablets, people are creating and consuming social media anywhere. However, it is a challenge to keep such mobile devices connected in current and next generation wireless network environments textit e.g., multiple ISPs (Internet Service Provider) and multiple communication technologies. Recent researches proposes components for managing wireless connectivity that make simultaneous use of the current and past connectivity context data. Such components are mobility predictors, handovers mechanisms or mobility managers that use connectivity context data in a particular way to achieve its purposes. In this research, we propose feasiable a methodology that orchestrates the main components of the connectivity management in a feedback loop. We argue that the process of gathering connectivity context data can be designed as a sensing system, whose sensors are wireless network interfaces. As part of this sensing system, the social circles may assist the management of connectivity by sharing connectivity context data. The main idea is to use location-based services to share connectivity context data within social circles. Thus, online social networks add scale to the system and enables collaboration around recent, local, and social context data. The goal is to enhance wireless connectivity experiences in terms of QoS ( textit Quality of Service) metrics textit e.g., throughput, latency and signal quality. We report how this data is handled using complex networks metrics e.g., vertexs strength and centrality degree, to identify high density handover areas, define the mobile users reputation and to reveal the networks coverage. Real experiments showed that collaboration can improve QoS metrics from ~18 to ~30% if compared to just use a mobility predictor or a modern operational system, respectively. The discussion unfolds with focus on the collaborations efficiency as function of time, number of users, discovered area size and mobility patterns. The promising experimental results indicate that our solution can enhance mobile users wireless connectivity experiences
Mhlanga, Martin Mafan. "Towards the design of an energy-aware path selection metric for IEEE 802.11s wireless mesh network." Thesis, University of Zululand, 2012. http://hdl.handle.net/10530/1058.
Full textIt is everyone’s dream to have network connectivity all the time. This dream can only be realised provided there are feasible solutions that are put in place for the next generation of wireless works. Wireless Mesh Networking (WMN) is therefore seen as a solution to the next generation of wireless networks because of the fact that WMNs configures itself and it is also self healing. A new standard for WMNs called the IEEE 802.11s is still under development. The protocol that is used by the IEEE 802.11s for routing is called Hybrid Wireless Mesh Protocol (HWMP). The main purpose of HWMP is to perform routing at layer-2 of the OSI model also referred to as the data link layer (DLL). Layer-2 routing is also referred to as the mesh path selection and forwarding. Devices that are compliant to the IEEE 802.11s standard will be able to use this path selection protocol. Devices that are manufactured by different vendors will therefore be interoperable. Even though significant efforts have gone into improving the performance of HWMP, the protocol still faces a lot of limitations and the most limiting factor is the small or restricted energy of the batteries in a wireless network. This is because of the assumption that mesh nodes that are deployed in urban areas tend to have no energy constraints while WMN nodes deployed in rural faces serious energy challenges. The latter relies on batteries and not on electricity supply which powers the WMN nodes in urban areas. This work, therefore, explores further the current trends towards maximising the network lifetime for the energy constrained networks. Hence the goal of this study is to design a path selection algorithm that is energyaware and optimising for the IEEE 802.11s based HWMP. The main idea is that paths with enough energy for transmission must be selected when transmitting packets in the network. Therefore, a simulation using NS-2 was carried out to assess the network performance of the proposed EAPM metric with the other metrics that have been analysed in literature including ETX. ETX has been used in WMNs but was not developed specifically for mesh. In conclusion, EAPM conserves more energy than the Multimetric, airtime link metric and lastly ETX. The simulation experiments show that EAPM optimises the energy used in the network and as a result EAPM has a prolonged network lifespan when comparing it to the rest of the metrics evaluated in this study. The results also revealed that the newly proposed EAPM exhibits superior performance characteristics even with regard to issues like end-to-end delay and packet delivery ratio.
CSIR Meraka Institute
Copeland, Rebecca. "Enterprise context‐aware policy solutions for prioritizing service requests and mitigating risk in communications." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0021/document.
Full textThis thesis suggests that the enterprise should determine its own connectivity policies and convey them to the network carrier. This allows selecting service delivery options based on business goals, using corporate internal knowledge of users and tasks. The proposed eCAPS (enterprise Context Aware Policy System) allows organizations to distinguish between business and personal requests that are generated by BYOD (Bring Your Own Device) users. This enables enterprises to make policy decisions about resourcing, priority levels, automatic funding and even choice of access networks. By extending the model to evaluated risks, the enterprise could determine mitigating actions for high risk service requests, moderated by business priorities. The network solution utilizes extended 3GPP interfaces, to enable the enterprise to act as a Mobile Virtual Network Operator (MVNO) or as a Sponsor of data services. The proposed ‘Defer‐Back’ feature facilitates deferring personal usage back to the carrier, to be treated as a personal service. The solution contains a Business and Risk model that determines the profile of each service request. This model computes attributes’ inherent values from the Credibility of their sources, which is estimated by their digital characteristics, such as confidence (reliability, data stability), accuracy (error‐management) and precision (resolution and proximity). Corporate policy is injected via multi‐level customizable prioritization, thus combining observations with preferences. To aggregate the evidential information, a new algorithm (Cedar: Corroborative Evidential Diminishing Aggregation Rating) is proposed, which proportionally augments concordant attributes and decrements discordant ones. Cedar satisfies a challenging range of requirements and outperforms popular methods, especially due to its robustness and logical handling of uncertainty and conflict. The proposed multi‐facet eCAPS solution has many applications, of which four are included. Additionally, a case study of an MVNO Automotive is described, which necessitates joining multistakeholders’ policy. The ‘Cedar Credibility Tree’ approach, with corroborative aggregation and measured Credibility, has far reaching utility, especially in behavioral context and diagnosis
Tomic, David. "Service Aware Traffic Distribution in Heterogeneous A2G Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248995.
Full textFlygplan har olika sätt att ansluta till marken, inklusive satellit-mark-kommunikation (SA2GC) och direkt luft till markkommunikation (DA2GC). Varje anslutning/länk erbjuder en annan varierande mängd överföringskapacitet under flygtid. Den trafik som genereras i flygplanet måste vidarebefordras/skickas till marken över de tillgängliga länkarna. Det är emellertid inte klart hur trafiken ska vidarebefordras så att trafiksäkerhetskvaliteten (QoS) uppfylls. Avhandlingen handlar om denna fråga och implementerar en algoritm som hanterar vidarebefordringsbeslutet med tre olika vidarebefordringssystem. De betraktar trafikparametrar vid beräkning av ett värde som tilldelas varje trafikflöde, över en kombination av prioritet, fördröjningskrav och antalet gånger ett trafikflöde tappas. Vidarebefordringsalgoritmen är beroende av föreslagna bredbandsförbindelser (IFBC) i nätverk och A2G-länkmodeller, som syftar till att approximera nätverksmiljön för framtida IFBC-nätverk. Det visas att QoS-krav på trafikflöden när det gäller paketförlust och fördröjning inte kan tillgodoses med kapacitet som erbjuds av nuvarande DA2GC- och SA2GC-teknik. För ett framtida scenario, med högre antagna länkkapacitet, uppfylls QoS-kraven i högre utsträckning. Detta visas med lägre paketförlust och fördröjning som upplevs av respektive trafikflöden. Vidare är det visat att prestanda kan förbättras med specifika vidarekopplingsscheman som används av vidarebefordringsalgoritmen. Det undersöks också hur en webbcache kan användas som en återgångsteknik. För detta hittas en obligatorisk webbcache-träfffrekvens, som bör vara tillräckligt hög för att ladda upp nätverket med innehåll som serveras från cacheminnet. Sammanfattningsvis syftar uppsatsen till att föreslå en effektiv trafiköverföringsteknik och att ge insikt om ett alternativ om denna teknik misslyckas.
Luo, Wei-Cheng, and 羅偉城. "Connectivity-aware Geographic Routing Approach for VANETs." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/t837jq.
Full text國立虎尾科技大學
資訊工程研究所
99
The emerging research filed has been proposed is called Vehicular Ad Hoc Networks (VANETs).The scenario of VANETs is based on mobility fast and topology complexity. Thus, position-based routing is more suitable than reactively routing in VANETs. Because position-based routing just needs to maintain neighbor nodes’ information and doesn’t maintain the full route’s information, it also has better scalability than reactively routing when the topology changes too fast. But previously proposed position-based routing protocol for VANETs only consider position information, so the vehicle would route to the “void road segment”, then may course the packet’s route error or cost extra route overhead. For solving preciously problem, road-based routing protocol has been proposed. In this paper, we present a position-based routing approach based on traffic exploration designed for inter-vehicle communication in urban scenario. The aim of the approach reduce beacon message overhead and increase the data packet ratio, but it doesn’t affect the overall throughput. Thus, the paper proposes the traffic information aggregation and dissemination strategy to exchange beacon message, route selection mechanism for traffic exploration and packet rely selection mechanism to prevent transmission fail problem. We implemented the proposed method, GPSR and GPCR on QualNet. In the first scenario which vehicle density is high, simulation result shows our proposed method doesn’t have specific outperforms traditional position-based routing because packet delivery ratio doesn’t affect if traditional position-based routing doesn’t consider the traffic information. But in the second scenario which is uneven distribution of each road traffic, simulation result shows our proposed method has specific outperforms traditional position-based routing when the communication distance increment because traditional position-based routing doesn’t consider the traffic information.
Hsu, Chun-Jung, and 許峻榮. "Connectivity and Energy-aware Clustering Approach for Wireless Sensor Networks." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/83973980784829523269.
Full text朝陽科技大學
資訊與通訊系
103
The Wireless Sensor Networks consist of hundreds or thousands of sensor nodes distributed in environment for environmental monitoring. In this regard, how to effectively use limited energy for extended lifetime of a network is a critical issue because sensor nodes featuring compact volume, low cost and low power consumption depend on limited electricity from batteries for operations. In researches of energy efficiency of traditional sensor networks, the researchers considered the factors about energy consumption only rather than isolated nodes influencing operations of whole networks. As an important factor to be considered, the node connectivity contributes to reductions of isolated nodes. Moreover, the clustering technique is a method which is effective in saving energy and minimizing overloads of single sensor nodes in the extensively deployed sensor network environment. With node connectivity and residual energy considered, a clustering partitioning method in this research is able to adjust the size of a cluster dynamically and reduce consumption of energy transmitted among sensor nodes by referring to change of the network environment. As shown in experimental results, our method is effective in improving energy consumption of traditional wireless sensor networks and advantageous to energy efficiency of sensor nodes and extended running hours of whole networks.
Wang, Ching-Yen, and 王敬言. "Qos-Aware downlink Scheduling for LTE-A network with dual connectivity enhancement." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/ygmqez.
Full text淡江大學
資訊工程學系碩士班
104
Nowadays, multimedia application services are become more and more popular. And come along with the traffic demand increasing. For the above reasons, not only the bandwidth but the quality of services are need to be improved. As the appearance of small cell, user could connect the macro cell and small cell simultaneously. This mechanism leverage the loading of marco cell. In this paper, we design an algorithm for Qos-Aware Scheduling for LTE-A Small Cell Network with Dual Connectivity. Our algorithm guarantee the Qos of GBR flows and also improve the efficiency of entire network.
Books on the topic "Connectivity-aware"
Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.
Full textBook chapters on the topic "Connectivity-aware"
Matos, Ricardo, and Susana Sargento. "Context-Aware Connectivity and Mobility in Wireless Mesh Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 49–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11817-3_5.
Full textBellavista, Paolo, Antonio Corradi, and Carlo Giannelli. "Context-Aware Middleware for Reliable Multi-hop Multi-path Connectivity." In Software Technologies for Embedded and Ubiquitous Systems, 66–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87785-1_7.
Full textKong, Linghe, Linsheng Ye, Bowen Wang, Xiaofeng Gao, Fan Wu, Guihai Chen, and M. Shamim Hossain. "Connectivity-Aware Virtual Machine Placement in 60 GHz Wireless Cloud Centers." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 33–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69605-8_4.
Full textShafiee, Kaveh, and Victor C. M. Leung. "Connectivity-Aware Minimum-Delay Geographic Routing with Vehicle Tracking in VANETs." In Ad Hoc Networks, 256–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11723-7_17.
Full textStamou, Adamantia, Nikos Dimitriou, Kimon Kontovasilis, and Symeon Papavassiliou. "Delay Analysis of Context Aware Mobility Management Systems Addressing Multiple Connectivity Opportunities." In Ad-hoc, Mobile, and Wireless Networks, 121–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19662-6_9.
Full textMontemanni, R., and L. M. Gambardella. "Power-Aware Distributed Protocol for a Connectivity Problem in Wireless Sensor Networks." In Self-star Properties in Complex Information Systems, 403–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428589_26.
Full textWang, Shen, Kongming Liang, Yiming Li, Yizhou Yu, and Yizhou Wang. "Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 208–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59728-3_21.
Full textTosun, Mustafa, Umut Can Çabuk, Vahid Akram, and Orhan Dagdeviren. "On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks." In Trends in Data Engineering Methods for Intelligent Systems, 369–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79357-9_36.
Full textBag, Samiran, Aritra Dhar, and Pinaki Sarkar. "100% Connectivity for Location Aware Code Based KPD in Clustered WSN: Merging Blocks." In Lecture Notes in Computer Science, 136–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33383-5_9.
Full textQin, Yulei, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, and Guang-Zhong Yang. "AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks." In Lecture Notes in Computer Science, 212–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32226-7_24.
Full textConference papers on the topic "Connectivity-aware"
Le, Van Tuan, Noury Bouraqadi, Serge Stinckwich, Victor Moraru, and Arnaud Doniec. "Making networked robots connectivity-aware." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152471.
Full textShahriar, Nashid, Reaz Ahmed, Shihabur Rahman Chowdhury, Md Mashrur Alam Khan, Raouf Boutaba, Jeebak Mitra, and Feng Zeng. "Connectivity-aware virtual network embedding." In 2016 IFIP Networking Conference (IFIP Networking) and Workshops. IEEE, 2016. http://dx.doi.org/10.1109/ifipnetworking.2016.7497249.
Full textKumar, Praveen, Joy Kuri, Pavan Nuggehalli, Mario Strasser, Martin May, and Bernhard Plattner. "Connectivity-Aware Routing in Sensor Networks." In 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007). IEEE, 2007. http://dx.doi.org/10.1109/sensorcomm.2007.4394952.
Full textHe, Rong, Kee Chaing Chua, and Gurusamy Mohan. "Connectivity Aware Protected Working Lightpath Envelope." In 18th International Conference on Computer Communications and Networks - ICCCN 2009. IEEE, 2009. http://dx.doi.org/10.1109/icccn.2009.5235381.
Full textYang, Qing, Alvin Lim, and Prathima Agrawal. "Connectivity Aware Routing in Vehicular Networks." In 2008 IEEE Wireless Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/wcnc.2008.392.
Full textBarreto, João, João Garcia, Luís Veiga, and Paulo Ferreira. "Data-aware connectivity in mobile replicated systems." In the Eighth ACM International Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1594139.1594147.
Full textEl Sibai, Rayane, Talar Atechian, Jacques Bou Abdo, Rami Tawil, and Jacques Demerjian. "Connectivity-aware service provision in vehicular cloud." In 2015 International Conference on Cloud Technologies and Applications (CloudTech). IEEE, 2015. http://dx.doi.org/10.1109/cloudtech.2015.7337017.
Full textIbrahim, Ahmed S., Karim G. Seddik, and K. J. Ray Liu. "Connectivity-Aware Network Maintenance via Relays Deployment." In 2008 IEEE Wireless Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/wcnc.2008.452.
Full textGhafoor, Huma, N. D. Gohar, and Rizwan Bulbul. "Anchor-Based Connectivity Aware Routing in VANETs." In 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2012. http://dx.doi.org/10.1109/wicom.2012.6478431.
Full textLEGUAY, JÉRÉMIE, TIMUR FRIEDMAN, SERGE FDIDA, VANIA CONAN, and ANDRÉ COTTON. "CONNECTIVITY AWARE ROUTING IN AD-HOC NETWORKS." In Proceedings of the 10th IFIP Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2005. http://dx.doi.org/10.1142/9781860947315_0011.
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