Relevant bibliographies by topics / Greedy forwarding

Contents

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

Academic literature on the topic 'Greedy forwarding'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Greedy forwarding"

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Minn, Aye Zarchi, and May Zin Oo. "Angle-Aware Greedy Forwarding Algorithm for Vehicular Ad Hoc Networks." Journal of Computer Science 2, no. 1 (2016): 12–19. http://dx.doi.org/10.31357/jcs.v2i1.2722.

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Greedy Perimeter Stateless Routing (GPSR) gives the good forwarding nodes for Mobile Ad Hoc Networks (MANET) but does not provide the right directional forwarding nodes in Vehicular Ad Hoc Network (VANET). This is the fact that MANET uses the nodes without limitations in moving but VANET uses fixed infrastructure in mobility such as roads with lanes. The key of original greedy forwarding is choosing the forwarding node with the shortest distance between the source and the destination. It does not consider the direction of the forwarding nodes, which possibly cause the selected forwarding node
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Yao, Jian, Hao You Peng, and Tian Fu. "Improved GPSR Routing Protocol in VANETs." Applied Mechanics and Materials 336-338 (July 2013): 1877–81. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1877.

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According to characteristics that the vehicles move fast and topology changes quickly in Vehicular Ad hoc Networks (VANETs), a novel routing protocol GMGP based on the location is proposed for VANETs. Predicting the changes of the neighboring nodes positions and using greedy forwarding mechanism forward packet, and using a movement perimeter forwarding algorithm to select the next reliable hop node on the basis of direction and velocity of the mobile nodes when the greedy forwarding fails, it improves the reliability of routing. When a more realistic vehicles mobility model is applied to the N
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Mahmoud, Marwan, and Mahmoud Ahmad Al-Khasawneh. "Greedy Intersection-Mode Routing Strategy Protocol for Vehicular Networks." Complexity 2020 (December 12, 2020): 1–10. http://dx.doi.org/10.1155/2020/4870162.

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The advantages of vehicular ad hoc networks (VANETs) have been acknowledged, particularly during the last decade. Furthermore, VANET-related issues have been addressed by different researchers. Forwarding information professionally in a VANET is considered a challenging task precisely at the intersections where forwarding the information turns out to be extremely problematic. To elucidate this problem, many researchers have established routing protocols. The improved greedy perimeter stateless routing protocol (IGPSR) has been suggested, in the direction of employing greedy-mode proceeding tra
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Oladeji-Atanda, G., D. Mpoeleng, and F. Ogwu. "Multi-greedy geographic packets forwarding using flow-based indicators." ICST Transactions on Mobile Communications and Applications 6, no. 18 (2021): 169914. http://dx.doi.org/10.4108/eai.13-5-2021.169914.

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LI, Chengming, Wenjing LIU, and Koji OKAMURA. "A greedy ant colony forwarding algorithm for Named Data Networking." Proceedings of the Asia-Pacific Advanced Network 34 (May 17, 2013): 17. http://dx.doi.org/10.7125/apan.34.3.

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Chen, Jiming, Jialu Fan, Xianghui Cao, and Yousian Sun. "GRFR: Greedy Rumor Forwarding Routing for Wireless Sensor/Actor Networks." Information Technology Journal 7, no. 4 (2008): 661–66. http://dx.doi.org/10.3923/itj.2008.661.666.

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Zhang, Jingwei. "Greedy forwarding for mobile social networks embedded in hyperbolic spaces." ACM SIGCOMM Computer Communication Review 43, no. 4 (2013): 555–56. http://dx.doi.org/10.1145/2534169.2491728.

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Huang, Chung-Ming, and Shih-Yang Lin. "Timer-based greedy forwarding algorithm in vehicular ad hoc networks." IET Intelligent Transport Systems 8, no. 4 (2014): 333–44. http://dx.doi.org/10.1049/iet-its.2013.0014.

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Alnabhan, Mohammad M. "Advanced GPSR in Mobile Ad-hoc Networks (MANETs)." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 18 (2020): 107. http://dx.doi.org/10.3991/ijim.v14i18.16661.

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This work aims to develop the routing capability of GPSR in MANETs. A new GPSR advancement described as Adaptive GPSR (AGPSR) is proposed with enhanced greedy forwarding and efficient routing decision. AGPSR greedy forwarding model consists of three major phases; initialization, finding target neighbor, weight value computation and next hop selection. The weight value encounters a set of network metrics including node density, network size, congestion level, transmission range, node speed and movement direction. An intensive evaluation methodology was implemented in order to evaluate the perfo
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Ganesh, N. "Performance Evaluation of Depth Adjustment and Void Aware Pressure Routing (DA-VAPR) Protocol for Underwater Wireless Sensor Networks." Computer Journal 63, no. 2 (2019): 193–202. http://dx.doi.org/10.1093/comjnl/bxz093.

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Abstract Underwater wireless sensor network (UWSN) has gained its popularity as a powerful technology for monitoring oceans, sea and river. The sensor node drifting along with ocean current offers 4D (space and time) monitoring for real-time underwater application. However, the main challenge arises from the underwater acoustic communication that results in high propagation delay, packet loss and overhead in the network. In order to overcome these issues, a depth adjustment and void aware pressure routing protocol is proposed for UWSN. A greedy forwarding strategy is used to forward the packet
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Dissertations / Theses on the topic "Greedy forwarding"

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Akyurek, Alper Sinan. "Swim: A New Multicast Routing Algorithm For Wireless Networks." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613348/index.pdf.

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In this work, a new multicast routing algorithm for wireless networks is presented. The algorithm, called SWIM (Source-initiated WIreless Multicast), is a depth-optimal multicast tree formation algorithm. SWIM is fully distributed and has an average computational complexity of O(N 2 ). SWIM forms a shared tree from the source(s) to destinations<br>yet, as a by-product, it creates a multicast mesh structure by maintaining alternative paths at every tree node. This makes SWIM suitable for both ad hoc networks and access networks with multiple gateways. An extension to the main algorithm is pres
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Noureddine, H., Q. Ni, Geyong Min, and H. Al-Raweshidy. "A new link lifetime estimation method for greedy and contention-based routing in mobile ad hoc networks." 2014. http://hdl.handle.net/10454/10755.

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No<br>Greedy and contention-based forwarding schemes were proposed for mobile ad hoc networks (MANETs) to perform data routing hop-by-hop, without prior discovery of the end-to-end route to the destination. Accordingly, the neighboring node that satisfies specific criteria is selected as the next forwarder of the packet. Both schemes require the nodes participating in the selection process to be within the area that confronts the location of the destination. Therefore, the lifetime of links for such schemes is not only dependent on the transmission range, but also on the location parameters (p
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Books on the topic "Greedy forwarding"

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Canada. Parliament. House of Commons. Bill: An act to naturalize Anson Greene Phelps Dodge. I.B. Taylor, 2002.

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Book chapters on the topic "Greedy forwarding"

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Wen, Huaqing, and Kyung-Hyune Rhee. "An Improved Greedy Forwarding Routing Protocol for Cooperative VANETs." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36818-9_57.

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Hsu, Ming-Tsung, Frank Yeong-Sung Lin, Yue-Shan Chang, and Tong-Ying Juang. "Reliable Greedy Forwarding in Obstacle-Aware Wireless Sensor Networks." In Algorithms and Architectures for Parallel Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03095-6_75.

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Ha, Minh Thiep, Priyadharshini Sakthivel, and Hyunseung Choo. "Bypassing Routing Holes in WSNs with a Predictive Geographic Greedy Forwarding." In Management Enabling the Future Internet for Changing Business and New Computing Services. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04492-2_18.

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Jiang, Weirong, and Viktor K. Prasanna. "Energy-Efficient Parallel Packet Forwarding." In Green IT: Technologies and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22179-8_8.

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Liu, Wen-Jiunn, and Kai-Ten Feng. "Greedy Anti-Void Forwarding Strategies for Wireless Sensor Networks." In Greedy Algorithms. InTech, 2008. http://dx.doi.org/10.5772/5883.

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Rani, Monika, and Harish Kumar. "Wireless Networks." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2342-0.ch005.

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VANET is a type of Mobile Ad-hoc network (MANET) that provides wireless communication between close by moving vehicles as well as between vehicles and road side fixed equipment. It requires the vehicles to be equipped with sensors and wireless devices and fixed roadside wireless infrastructure. There are number of research issues like Highly Dynamic Topology, Signal fading, Limited Bandwidth, Intermittent Connectivity, Mobility Modelling, Propagation Model, Routing which needs attention. The scope of this chapter is focused on various advances in Greedy Forwarding routing techniques. Various VANET routing protocols are reviewed and compared in this chapter.
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"Trading off Energy and Forwarding Performance in Next- Generation Network Devices." In Green Communications. CRC Press, 2016. http://dx.doi.org/10.1201/b13083-33.

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Conference papers on the topic "Greedy forwarding"

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Timofeeva, Sofiia V., Dmitrii M. Sarkisian, Andrei M. Sukhov, and Sergey A. Zuev. "Greedy forwarding for hyperbolic space in MANET." In 2017 25th Telecommunication Forum (TELFOR). IEEE, 2017. http://dx.doi.org/10.1109/telfor.2017.8249291.

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Si, Weisheng, Bernhard Scholz, Joachim Gudmundsson, Guoqiang Mao, Roksana Boreli, and Albert Zomaya. "On graphs supporting greedy forwarding for directional wireless networks." In ICC 2012 - 2012 IEEE International Conference on Communications. IEEE, 2012. http://dx.doi.org/10.1109/icc.2012.6363880.

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Wang, Chen, and Li Xiao. "Improving Routing Quality of Greedy Forwarding in Wireless Networks." In 2007 Fifteenth IEEE International Workshop on Quality of Service. IEEE, 2007. http://dx.doi.org/10.1109/iwqos.2007.376549.

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Panigrahi, Bighnaraj, Swades De, Bhawani Sankar Panda, and Jean-Daniel Lan Sun Luk. "Energy-Efficient Greedy Forwarding Protocol for Wireless Sensor Networks." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5494228.

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Yuanzhen Li, Shengxian Xie, and Yiqiao Yu. "Analysis of greedy forwarding in Vehicular Ad Hoc Networks." In 2011 International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2011. http://dx.doi.org/10.1109/icssem.2011.6081315.

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Jouhari, Mohammed, Khalil Ibrahimi, Mohammed Benattou, and Abdellatif Kobbane. "New greedy forwarding strategy for UWSNs geographic routing protocols." In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2016. http://dx.doi.org/10.1109/iwcmc.2016.7577089.

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Gajalakshmi, G., and S. Anbu. "Globally trusted model for assisting peers using greedy forwarding technique." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7033892.

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Dugam, Shradha P., and S. P. Pingat. "Performace and energy efficient Greedy forwarding method for sensor networks." In 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). IEEE, 2013. http://dx.doi.org/10.1109/icccnt.2013.6726624.

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Zhang, Jingwei. "Greedy forwarding for mobile social networks embedded in hyperbolic spaces." In SIGCOMM'13: ACM SIGCOMM 2013 Conference. ACM, 2013. http://dx.doi.org/10.1145/2486001.2491728.

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Mane, Shrikant, and R. Ramanathan. "Investigation of greedy forwarding strategies for three dimensional vehicular ADHOC networks." In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet.2017.8299981.

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