RWPAD: A Mobility Model for DTN Routing Performance Evaluation

Author(s):  
Yong Wang ◽  
Wei Peng ◽  
Xilong Mao ◽  
Zhenghu Gong
2013 ◽  
Vol 411-414 ◽  
pp. 676-679
Author(s):  
Yong Wang ◽  
Qiang Dou ◽  
Wei Peng ◽  
Zheng Hu Gong

Mobility models are drawing increasing attention since it plays an indispensable role in delay tolerant networks performance evaluation (e.g., routing performance evaluation). Random Waypoint with Base Point (RWPBP) mobility model aims to model the movement characteristics in catastrophe rescue scenario. RWPBP mobility model can represent different movement styles according to different parameters. In this paper, we consider the traffic scenario that all the data generated by the nodes need to be sent to the base point, and evaluate the performance of the five DTN routing protocols (i.e., DirectDelivery, Epidemic, PROPHET, SpayAndWait and FirstContact) under the RWPBP mobility model with different parameters. Epidemic performs best in our experiment, since the traffic is not heavy in catastrophe rescue scenario.


Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 49 ◽  
Author(s):  
Peijun Zou ◽  
Ming Zhao ◽  
Jia Wu ◽  
Leilei Wang

Due to the dynamic change of the opportunistic network topology and the lack of stable information transmission paths between nodes, the traditional topology-based routing algorithm cannot achieve the desired routing performance. To address of this problem, this paper proposes a routing algorithm based on trajectory prediction (RATP). The routing protocol based on trajectory prediction can efficiently and quickly adapt to the network link quality instability and the dynamic changes of network topology. RATP algorithm constructs a node mobility model by analyzing the historical mobility characteristics of the nodes. According to the node prediction information, the metric value of the candidate node is calculated, and the node with the smaller metric value is selected as the data forwarding node, which can effectively reduce the packet loss rate and avoids excessive consumption. Simulation results show that compared with other algorithms, the proposed algorithm has higher data delivery ratio, and end-to-end data delay and routing overhead are significantly reduced.


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