Hyperbolic Embeddings for Near-Optimal Greedy Routing

2020 ◽  
Vol 25 ◽  
pp. 1-18
Author(s):  
Thomas Bläsius ◽  
Tobias Friedrich ◽  
Maximilian Katzmann ◽  
Anton Krohmer
Keyword(s):  
2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.


2018 ◽  
Vol 17 (3) ◽  
pp. 543-559 ◽  
Author(s):  
Jinwei Liu ◽  
Haiying Shen ◽  
Lei Yu ◽  
Husnu Saner Narman ◽  
Jiannan Zhai ◽  
...  

Axioms ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 177-201 ◽  
Author(s):  
Su Xia ◽  
Xiaotian Yin ◽  
Hongyi Wu ◽  
Miao Jin ◽  
Xianfeng Gu

2016 ◽  
Vol 15 (7) ◽  
pp. 1632-1646 ◽  
Author(s):  
Siming Li ◽  
Wei Zeng ◽  
Dengpan Zhou ◽  
Xianfeng Gu ◽  
Jie Gao

Author(s):  
Alaa E. Abdallah ◽  
Mohammad Bsoul ◽  
Emad E. Abdallah ◽  
Ibrahim Al–Oqily ◽  
George Kao

In geographical routing algorithms, mobile nodes rely on geographical position to make routing judgments. Researchers frequently discuss such routing algorithms in (2D) space. However, in reality, mobile nodes spread in (3D) space. In this paper the authors present four new 3D geographical-based routing algorithms Cylinder, Greedy-Cylinder, Cluster-Cylinder, and Greedy-cluster-Cylinder. In Cylinder routing, the nodes are locally projected on the inner surface of a cylinder, perimeter routing is executed after that. Greedy-Cylinder starts with Greedy routing algorithm until a local minimum is reached. The algorithm then switches to Cylinder routing. Cluster-Cylinder elects a dominating set for all nodes and then uses this set for projection and routing. The fourth algorithm Greedy-cluster-Cylinder is a combination between Greedy-Cylinder and Cluster-Cylinder. The authors evaluate their new algorithms and compare them with many classical known algorithms. The simulation outcomes show the substantial enhancement in delivery rate over other algorithms.


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