scholarly journals RTTMM: Role based 3-Tier Mobility Model for Evaluation of Delay Tolerant Routing Protocols in Post Disaster Situation

Author(s):  
Nikhil Gondaliya ◽  
Mohammed Atiquzzaman
Author(s):  
Diego Costantini ◽  
Mathieu Munch ◽  
Alessandro Leonardi ◽  
Valter Rocha ◽  
Parag S. Mogre ◽  
...  

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.


2021 ◽  
Vol 1 (1) ◽  
pp. 1-37
Author(s):  
Michela Lorandi ◽  
Leonardo Lucio Custode ◽  
Giovanni Iacca

Routing plays a fundamental role in network applications, but it is especially challenging in Delay Tolerant Networks (DTNs). These are a kind of mobile ad hoc networks made of, e.g., (possibly, unmanned) vehicles and humans where, despite a lack of continuous connectivity, data must be transmitted while the network conditions change due to the nodes’ mobility. In these contexts, routing is NP-hard and is usually solved by heuristic “store and forward” replication-based approaches, where multiple copies of the same message are moved and stored across nodes in the hope that at least one will reach its destination. Still, the existing routing protocols produce relatively low delivery probabilities. Here, we genetically improve two routing protocols widely adopted in DTNs, namely, Epidemic and PRoPHET, in the attempt to optimize their delivery probability. First, we dissect them into their fundamental components, i.e., functionalities such as checking if a node can transfer data, or sending messages to all connections. Then, we apply Genetic Improvement (GI) to manipulate these components as terminal nodes of evolving trees. We apply this methodology, in silico, to six test cases of urban networks made of hundreds of nodes and find that GI produces consistent gains in delivery probability in four cases. We then verify if this improvement entails a worsening of other relevant network metrics, such as latency and buffer time. Finally, we compare the logics of the best evolved protocols with those of the baseline protocols, and we discuss the generalizability of the results across test cases.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Dávid Hrabčák ◽  
Martin Matis ◽  
L’ubomír Doboš ◽  
Ján Papaj

In the real world, wireless mobile devices are carried by humans. For this reason, it is useful if mobility models as simulation tools used to test routing protocols and other MANET-DTN features follow the behaviour of humans. In this paper, we propose a new social based mobility model called Students Social Based Mobility Model (SSBMM). This mobility model is inspired by the daily routine of student’s life. Since many current social based mobility models give nodes freedom in terms of movement according to social feeling and attractivity to other nodes or places, we focus more on the mandatory part of our life, such as going to work and school. In the case of students, this mandatory part of their life is studying in university according to their schedule. In their free time, they move and behave according to attractivity to other nodes or places of their origin. Finally, proposed SSBMM was tested and verified by Tools for Evaluation of Social Relation in Mobility Models and compared with random based mobility models. At the end, SSBMM was simulated to examine the impact of social relations on routing protocols.


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