Academic literature on the topic 'Maximum network lifetime routing'

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Journal articles on the topic "Maximum network lifetime routing"

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Rahat, Alma A. M., Richard M. Everson, and Jonathan E. Fieldsend. "Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks." Evolutionary Computation 23, no. 3 (2015): 481–507. http://dx.doi.org/10.1162/evco_a_00151.

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Mesh network topologies are becoming increasingly popular in battery-powered wireless sensor networks, primarily because of the extension of network range. However, multihop mesh networks suffer from higher energy costs, and the routing strategy employed directly affects the lifetime of nodes with limited energy resources. Hence when planning routes there are trade-offs to be considered between individual and system-wide battery lifetimes. We present a multiobjective routing optimisation approach using hybrid evolutionary algorithms to approximate the optimal trade-off between the minimum life
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Jain, Sourabh. "Energy Efficient Maximum Lifetime Routing For Wireless Sensor Network." International Journal of Advanced Smart Sensor Network Systems 2, no. 1 (2012): 107–11. http://dx.doi.org/10.5121/ijassn.2012.2101.

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Nguyen, Phi Le, Thanh Hung Nguyen, and Kien Nguyen. "A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes." Sensors 20, no. 9 (2020): 2506. http://dx.doi.org/10.3390/s20092506.

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In wireless sensor networks (WSNs) with holes, designing efficient routing protocols, which prolong the network lifetime, is one of the most critical issues. To this end, this paper proposes a new geographic routing protocol for WSNs named the load Balanced and constant Stretch protocol for bypassing Multiple Holes (i.e., BSMH). In contrast to the existing works in the literature, the design of BSMH simultaneously takes into account the three factors that impacted the network lifetime, including routing path length, control packet overhead, and load balance among the nodes. Moreover, BSMH aims
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Jung, Changsu, and Kijun Han. "Maximum Power Plus RSSI Based Routing Protocol for Bluetooth Low Energy Ad Hoc Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/9843825.

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This paper proposes a novel energy-conserving multihop routing protocol to maximize network lifetime and consume the battery in a distributed manner during route discovery in energy-constrained Bluetooth Low Energy ad hoc networks. Furthermore, a flooding avoidance approach is adopted by the proposed scheme to minimize the number of route request packets flooded. In addition, the proposed scheme maximizes network lifetime by using residual battery and RSSI as a route metric. The simulation results confirm that our proposed scheme has a surpassing performance with regard to network lifetime, ev
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Chang, J. H., and L. Tassiulas. "Maximum Lifetime Routing in Wireless Sensor Networks." IEEE/ACM Transactions on Networking 12, no. 4 (2004): 609–19. http://dx.doi.org/10.1109/tnet.2004.833122.

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Umashankar, M. L., S. Mallikarjunaswamy, and M. V. Ramakrishna. "Design of High Speed Reconfigurable Distributed Life Time Efficient Routing Algorithm in Wireless Sensor Network." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3860–66. http://dx.doi.org/10.1166/jctn.2020.8975.

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Designing an energy-efficient routing makes the Wireless Sensor Networks (WSN) more effective and attractive for different applications. The WSN communication system power consumption mainly depends on three aspects such as routing cost computation, signal interference, and routing distance. All three factors are equally important in order to improve the network performance. The system reliability and deployment cost depends on the energy efficiency of the WSN. The energy related cost assignment and shortest paths identification are used in existing routing techniques. In the existing routing
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Leabi, Safaa, and Turki Abdalla. "Fuzzy Transmission Power Control Scheme for Maximizing Lifetime in Wireless Sensor Networks." Iraqi Journal for Electrical and Electronic Engineering 11, no. 2 (2015): 174–82. http://dx.doi.org/10.37917/ijeee.11.2.4.

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Energy limitations have become fundamental challenge for designing WSNs. Network lifetime is the most interested and important metric in WSNs. Many works have been developed for prolonging networks lifetime, in which one of the important work is the control of transmission power. This paper proposes a new fuzzy transmission power control technique that operate together with routing protocols for prolonging WSNs lifetime. Dijkstra shortest path routing is considered as the main routing protocol in this work. This paper mainly focuses on transmission power control scheme for prolonging WSNs life
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Bhardwaja, Manish, and Anil Ahlawat. "Evaluation of Maximum Lifetime Power Efficient Routing in Ad hoc Network Using Magnetic Resonance Concept." Recent Patents on Engineering 13, no. 3 (2019): 256–60. http://dx.doi.org/10.2174/1872212112666180815120447.

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Background: A mobile Ad-hoc Network is a network in which each node is independent of all other nodes of the network. In MANETs, nodes do not have proper infrastructure. The power source of the Mobile Ad-hoc network is battery power. As we all know, battery power has a certain limit and problems. Objective: The main objective of this manuscript is to resolve the power problem of nodes of mobile ad hoc networks and increase the lifetime of the network. Methods: This paper implements the concept of wireless power transfer between the nodes of Adhoc network and transfers the power to these nodes
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Et. al., Srinivasulu M,. "A COMPREHENSIVE REVIEW OF ENERGY-BASED ROUTING STRATEGIES FOR INTERNET OF THINGS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 1031–44. http://dx.doi.org/10.17762/itii.v9i2.449.

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IoT is the acronym for Internet of Things acronym. At present IoT is a buzzword amongst academia, research and industry communities. Everything surrounded by us have developed abilities to communicate via the medium of internet. The Routing information plays a vital role in establishing communication between nodes in the space of IoT. Maximum energy of such connected nodes is consumed in the process of routing the packets. In this context optimizing the network lifetime with minimal energy consumption becomes important for efficient implementation of IoT infrastructure. This literature review
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Ji, Xiaopeng, Cunlai Pu, and Jie Li. "Packet transmission with a lifetime constraint in scale-free networks." International Journal of Modern Physics C 29, no. 09 (2018): 1850089. http://dx.doi.org/10.1142/s0129183118500894.

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In this paper, we study how the lifetime of packets impacts the overall transmission capacity of scale-free communication networks. In our model, we observed an abrupt phase transition of packet loss rate when the packet generation rate increases, based on which we redefined the network capacity as the critical packet generation rate of packet loss. Then, we found a sharp phase transition of network capacity with the increase of packet lifetime, which is also predicted by our analytical results of network capacity. Moreover, we obtained that there is an optimal routing parameter of the tunable
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Dissertations / Theses on the topic "Maximum network lifetime routing"

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Wood, Kerry Neil. "Directional Communications to Improve Multicast Lifetime in Ad Hoc Networks." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28599.

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Wireless ad-hoc networks are easily deployed, untethered to infrastructure, and have virtually an unlimited number of applications. However, this flexibility comes at the cost of finite and often unreplenishable power supplies. Once a node has consumed all of its power, it can no longer receive, transmit, gather information, or otherwise participate in the network. Therefore, reducing the amount of energy necessary for node communication has been an area of intense research. Previous work has investigated the use of directional antennas as a method to reduce inter-node power requirements. Ho
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Rahat, Alma As-Aad Mohammad. "Hybrid evolutionary routing optimisation for wireless sensor mesh networks." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/21330.

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Battery powered wireless sensors are widely used in industrial and regulatory monitoring applications. This is primarily due to the ease of installation and the ability to monitor areas that are difficult to access. Additionally, they can be left unattended for long periods of time. However, there are many challenges to successful deployments of wireless sensor networks (WSNs). In this thesis we draw attention to two major challenges. Firstly, with a view to extending network range, modern WSNs use mesh network topologies, where data is sent either directly or by relaying data from node-to-nod
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Hansen, Ewa. "Centralized Routing for Prolonged Network Lifetime in Wireless Sensor Networks." Licentiate thesis, Västerås : School of Innovation, Design and Engineering, Mälardalen University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-486.

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Zengin, Asli. "Energy-efficient Routing To Maximize Network Lifetime In Wireless Sensor Networks." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608626/index.pdf.

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With various new alternatives of low-cost sensor devices, there is a strong demand for large scale wireless sensor networks (WSN). Energy efficiency in routing is crucial for achieving the desired levels of longevity in these networks. Existing routing algorithms that do not combine information on transmission energies on links, residual energies at nodes, and the identity of data itself, cannot reach network capacity. A proof-of-concept routing algorithm that combines data aggregation with the minimum-weight path routing is studied in this thesis work. This new algorithm can achieve much larg
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Yin, Li. "Sensor network coverage and data aggregation problem: solutions toward the maximum lifetime." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/Yin_09007dcc803c1aa0.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 26, 2007) Includes bibliographical references (p. 51-55).
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Tsanaka, Amalia. "Extending network lifetime in wireless sensor networks using power-aware geographic routing." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3819/.

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Wireless Sensor Networks (WSNs) use geographic routing to deliver measurement data to one or more sink nodes. In employing geographic routing, where data packets are forwarded along approximate geodesic (shortest) paths, WSNs can distribute the forwarding task unevenly between nodes. Nodes closest to the data sinks, or the geographic centre of the network coverage area, as well as nodes at the periphery of void areas, carry significantly more traffic. Consequently, their batteries deplete at a faster rate than the remaining nodes, causing void areas to form and grow, thus decreasing the overal
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Al-Nuaimi, R. S. A. "A virtualised routing protocol for improving network lifetime in cluster based sensor networks." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/44198/.

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In Wireless Sensor Networks (WSN), enhancing network lifetime is one of the critical challenges that should be considered during the network design. Sensor nodes exhaust their power in various activities such as sensing, processing and communication that represents the most energy-consuming and therefore should be managed to improve the network lifetime. The clustering has a significant task on network lifetime because sensor nodes consume a considerable amount of energy during the transmission and receiving in order to perform the clustering function stages. Clustering is the process of group
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Boyd, Alan W. F. "Node reliance : an approach to extending the lifetime of wireless sensor networks." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/1295.

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A Wireless Sensor Network (WSN) consists of a number of nodes, each typically having a small amount of non-replenishable energy. Some of the nodes have sensors, which may be used to gather environmental data. A common network abstraction used in WSNs is the (source, sink) architecture in which data is generated at one or more sources and sent to one or more sinks using wireless communication, possibly via intermediate nodes. In such systems, wireless communication is usually implemented using radio. Transmitting or receiving, even on a low power radio, is much more energy-expensive than other
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Barragan, Dante E. "Optimal placement of sensors for network lifetime extension in wireless sensor networks with dynamic routing." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Jung, Jin Woo. "Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47622.

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This dissertation presents methods of extending the network lifetime of multi-hop wireless sensor networks (WSNs) through routing that uses cooperative transmission (CT), referred to as cooperative routing. CT can have a signal-to-noise ratio (SNR) advantage over non-CT schemes through cooperative diversity and simple aggregation of transmit power, and one of its abilities is to extend the communication range of a wireless device using this SNR advantage. In this research, we use the range-extension ability of CT as a tool to mitigate the energy-hole problem of multi-hop WSNs and extend the ne
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Books on the topic "Maximum network lifetime routing"

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Intellectual Dynamic Source Routing Protocol to Increase the Network Lifetime. ASDF International, 2017.

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Book chapters on the topic "Maximum network lifetime routing"

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Hua, Cunqing, and Tak-Shing Peter Yum. "Maximum Lifetime Routing and Data Aggregation for Wireless Sensor Networks." In NETWORKING 2006. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11753810_70.

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Wang, Binhua, Yongrui Chen, and Weidong Yi. "An Energy-Aware Routing for Maximum Lifetime in Wireless Sensor Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36252-1_39.

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Chang, Jae-Hwan, and Leandros Tassiulas. "Fast Approximate Algorithms for Maximum Lifetime Routing in Wireless Ad-hoc Networks." In Networking 2000 Broadband Communications, High Performance Networking, and Performance of Communication Networks. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45551-5_59.

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Zhang, Qing, Huiqiong Chen, Weiwei Sun, and Bole Shi. "SMM: A Truthful Mechanism for Maximum Lifetime Routing in Wireless Ad Hoc Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30141-7_47.

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Lipiński, Zbigniew. "Stability Analysis of Routing Strategies for the Maximum Lifetime Problem in One-Dimensional Ad-Hoc Wireless Networks." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69835-9_77.

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Nunes, Bruno, Frederico Barboza, and Flávio Assis. "Maximum Lifetime Broadcast in Mobile Sensor Networks." In Ad-hoc, Mobile, and Wireless Network. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39247-4_3.

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Zhang, Ji, Dafang Zhang, Kun Xie, Shiming He, Hong Qiao, and Bin Zeng. "A Cooperative Routing Algorithm for Maximizing Network Lifetime." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36252-1_62.

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Aslam, Javed, Qun Li, and Daniela Rus. "A Lifetime-Optimizing Approach to Routing Messages in Ad-hoc Networks." In Network Theory and Applications. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4613-0223-0_1.

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Dhabliya, Dharmesh. "Designing a Routing Protocol towards Enhancing System Network Lifetime." In Intelligent and Reliable Engineering Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003208365-25.

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Sheng, Feng, Qi Xiao-gang, and Xue Ji-long. "A Novel Framework to Maximum Lifetime for Wireless Sensor Network." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18129-0_86.

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Conference papers on the topic "Maximum network lifetime routing"

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Padmanabh, K., and R. Roy. "Maximum lifetime routing in wireless sensor network using realistic battery model." In 2006 Workshop on High Performance Switching and Routing. IEEE, 2006. http://dx.doi.org/10.1109/hpsr.2006.1709698.

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Qiang, Sun, Cao Shasha, and Chen Nianshen. "A maximum network lifetime QoS routing algorithm in MANETs." In the 2nd International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1655925.1656010.

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Padmanabh, K., and R. Roy. "Multicommodity flow based maximum lifetime routing in wireless sensor network." In 12th International Conference on Parallel and Distributed Systems - (ICPADS'06). IEEE, 2006. http://dx.doi.org/10.1109/icpads.2006.67.

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Ning, Xu, and Christos G. Cassandras. "On maximum lifetime routing in Wireless Sensor Networks." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400394.

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Pandana, Charles, and K. J. Ray Liu. "Maximum connectivity and maximum lifetime energy-aware routing for wireless sensor networks." In GLOBECOM '05. IEEE Global Telecommunications Conference. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1577793.

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Marc, Attoungble Kouakou Jean, Kazunori Okada, Keiichi Kanai, and Yoshikuni Onozato. "Greedy Routing for Maximum Lifetime in Wireless Sensor Networks." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5450292.

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Hwang-Cheng Wang and Wen-Hong Chen. "Maximum Path Lifetime Routing for ad hoc wireless networks." In 2007 9th IFIP International Conference on Mobile Wireless Communications Networks - (MWCN). IEEE, 2007. http://dx.doi.org/10.1109/icmwcn.2007.4668202.

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Paschalidis, Ioannis Ch, and Ruomin Wu. "On robust maximum lifetime routing in wireless sensor networks." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4738804.

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Arezoomand, Afsane Saee, and Mohammadali Pourmina. "Prolonging network operation lifetime with new maximum battery capacity routing in wireless mesh network." In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccae.2010.5451679.

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Bao, Yanru, Yantai Shu, Ri Qu, Xiaohong Qiu, Ying Chai, and Chungui Liu. "A New Maximum-Lifetime Routing in Wireless Ad Hoc Networks." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.576.

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