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

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.

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Jiaxu Chen ◽  
Yazhe Tang ◽  
Chengchen Hu ◽  
Guijuan Wang

Human mobility modeling has increasingly drawn the attention of researchers working on wireless mobile networks such as delay tolerant networks (DTNs) in the last few years. So far, a number of human mobility models have been proposed to reproduce people’s social relationships, which strongly affect people’s daily life movement behaviors. However, most of them are based on the granularity of community. This paper presents interest-oriented human contacts (IHC) mobility model, which can reproduce social relationships on a pairwise granularity. As well, IHC provides two methods to generate input parameters (interest vectors) based on the social interaction matrix of target scenarios. By comparing synthetic data generated by IHC with three different real traces, we validate our model as a good approximation for human mobility. Exhaustive experiments are also conducted to show that IHC can predict well the performance of routing protocols.


2012 ◽  
Vol E95-D (2) ◽  
pp. 451-461 ◽  
Author(s):  
Yong-Pyo KIM ◽  
Keisuke NAKANO ◽  
Kazuyuki MIYAKITA ◽  
Masakazu SENGOKU ◽  
Yong-Jin PARK

2014 ◽  
Vol 1014 ◽  
pp. 351-354
Author(s):  
Mo Liang ◽  
Chen Wang

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.


2018 ◽  
Vol 14 (9) ◽  
pp. 155014771880046
Author(s):  
Guomin Zhang ◽  
Lihua Song ◽  
Haitao Wang ◽  
Chao Hu ◽  
Na Wang

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.


10.29007/c28h ◽  
2018 ◽  
Author(s):  
Mehul Shah ◽  
Nikhil Gondaliya ◽  
Avani Barad

Delay Tolerant Network (DTN) is useful for providing communication, where internet connection does not exist or in an Environment where long delay path and frequent partitions in transmission is present. A critical challenge for DTN is to determine the routing path through the network without ever having an end to end path, or finding which routers will be connected at any given instant of time. To find a routing path mobility of user needs attention, here we use human mobility model: Self Similar Least Action Walk (SLAW). In this paper, we extract pause time from past history of human mobility and utilize for routing in DTN. This concept will improve routing performance. In this paper, we propose the Multi-copy SimBet Routing with pause time factor. Finally, we conclude that the proposed routing method gives a message delivery ratio nearly equal to the Epidemic Routing, also reduce latency and overhead of the network.


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