A realistic mobility model for urban traffic scenario in vehicular delay tolerant network

2010 ◽  
Author(s):  
Yang Wei-dong ◽  
Sun Li-min ◽  
Liu Ji-zhao
Keyword(s):  
Mobility Model ◽  
Urban Traffic ◽  
Delay Tolerant Network ◽  
Traffic Scenario ◽  
Delay Tolerant

scholarly journals A Routing Protocol for Considering the Time Variant Mobility Model in Delay Tolerant Network

2012 ◽  
Vol E95-D (2) ◽  
pp. 451-461 ◽  
Author(s):  
Yong-Pyo KIM ◽  
Keisuke NAKANO ◽  
Kazuyuki MIYAKITA ◽  
Masakazu SENGOKU ◽  
Yong-Jin PARK
Keyword(s):  
Routing Protocol ◽  
Mobility Model ◽  
Delay Tolerant Network ◽  
Delay Tolerant

Delay Analysis of Underground Communication Using Network Coding

2014 ◽  
Vol 1014 ◽  
pp. 351-354
Author(s):  
Mo Liang ◽  
Chen Wang
Keyword(s):  
Network Coding ◽  
Mobility Model ◽  
Delay Tolerant Network ◽  
Delay Analysis ◽  
Analysis Method ◽  
Delay Performance ◽  
Delivery Delay ◽  
Network State ◽  
Underground Communication ◽  
Delay Tolerant

Underground communication system can be organized as a delay tolerant network (DTN), where delay analysis is of importance. In this paper, we derive the analysis method of block delivery delay in underground DTN using network coding. Unlike existing works that only use the contact-based model, we adopt the random walk on 2-D grid model as our mobility model. We define the innovativeness of a node as the number of new packet it can bring to the destination and derive the network state dynamics based on this definition. The simulations show that our analytic approach has better prediction to the delay performance.

scholarly journals Location-assistant content distribution scheme for emergency rescue

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771880046
Author(s):  
Guomin Zhang ◽  
Lihua Song ◽  
Haitao Wang ◽  
Chao Hu ◽  
Na Wang
Keyword(s):  
Content Distribution ◽  
Routing Algorithm ◽  
Mobility Model ◽  
Network Routing ◽  
Delay Tolerant Network ◽  
Message Delivery ◽  
Emergency Rescue ◽  
Course Of Action ◽  
Distribution Scheme ◽  
Delay Tolerant

In order to optimize the timeliness and pertinence of message delivery in emergency rescue scenarios and improve the service performance of emergency communications network, we propose a location-assistant content distribution scheme based on delay tolerant network. First of all, considering that the movement patterns of rescue teams tend to follow a predetermined course of action, we design a location-based group mobility model. Due to the intermittent network connectivity and variety of emergency service, a content-classification-based publish/subscribe architecture and a GenericSpray routing algorithm based on the prediction of overlap opportunity in spatio-temporal positions are proposed. Furthermore, we also give a cache management strategy based on the content significance. Since location-assistant content distribution scheme can predict the overlap of activity between rescue teams through the course of action, not only can the number of copy forwarding and message delivery delays be significantly reduced but also the priority delivery of important messages can be ensured by message classification. Simulation experiments show that compared with the traditional delay tolerant network routing algorithm and the classic first-in-first-out caching strategy, location-assistant content distribution scheme improves the performance of message delivery rate, transmission delay, and control overhead significantly.

DTN Routing Performance Evaluation under Random Waypoint with Base Point Mobility Model

2013 ◽  
Vol 411-414 ◽  
pp. 676-679
Author(s):  
Yong Wang ◽  
Qiang Dou ◽  
Wei Peng ◽  
Zheng Hu Gong
Keyword(s):  
Performance Evaluation ◽  
Routing Protocols ◽  
Base Point ◽  
Mobility Model ◽  
Movement Characteristics ◽  
Dtn Routing ◽  
Routing Performance ◽  
Traffic Scenario ◽  
Delay Tolerant ◽  
Random Waypoint

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.

scholarly journals Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Sirajo Abdullahi Bakura ◽  
Alain Lambert ◽  
Thomas Nowak
Keyword(s):  
Human Mobility ◽  
Mobility Model ◽  
Travel Distance ◽  
Delay Tolerant Network ◽  
Space Environment ◽  
Campus Environment ◽  
Dynamic Movement ◽  
Direction Of Movement ◽  
Delay Tolerant ◽  
Escape Path

In Delay-Tolerant Networks (DTNs), humans are the main carriers of mobile devices, signifying that human mobility can be exploited by extracting nodes’ interests, social behavior, and spatiotemporal features for the performance evaluation of DTNs protocols. This paper presents a new mobility model that describes students’ daily activities in a campus environment. Unlike the conventional random walk models, which use a free space environment, our model includes a collision-avoidance technique that generates an escape path upon encountering obstacles of different shapes and sizes that obstruct pedestrian movement. We evaluate the model’s usefulness by comparing the distributions of its synthetic traces with realistic traces in terms of spatial, temporal, and connectivity features of human mobility. Similarly, we analyze the concept of dynamic movement clusters observed on the location-based trajectories of the studied real traces. The model synthetically generates traces with the distribution of the intercluster travel distance, intracluster travel distance, direction of movement, contact duration, intercontact time, and pause time similar to the distribution of real traces.

Sign in / Sign up

Export Citation Format

Share Document