Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network
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 t...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/1018904 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547231257853952 |
|---|---|
| author | Sirajo Abdullahi Bakura Alain Lambert Thomas Nowak |
| author_facet | Sirajo Abdullahi Bakura Alain Lambert Thomas Nowak |
| author_sort | Sirajo Abdullahi Bakura |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-741642d17c36467eb6cc3d492dacacaa |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-741642d17c36467eb6cc3d492dacacaa2025-02-03T06:45:28ZengWileyJournal of Advanced Transportation2042-31952021-01-01202110.1155/2021/1018904Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant NetworkSirajo Abdullahi Bakura0Alain Lambert1Thomas Nowak2Université Paris-SaclayUniversité Paris-SaclayUniversité Paris-SaclayIn 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.http://dx.doi.org/10.1155/2021/1018904 |
| spellingShingle | Sirajo Abdullahi Bakura Alain Lambert Thomas Nowak Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network Journal of Advanced Transportation |
| title | Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network |
| title_full | Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network |
| title_fullStr | Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network |
| title_full_unstemmed | Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network |
| title_short | Escape Path Obstacle-Based Mobility Model (EPOM) for Campus Delay-Tolerant Network |
| title_sort | escape path obstacle based mobility model epom for campus delay tolerant network |
| url | http://dx.doi.org/10.1155/2021/1018904 |
| work_keys_str_mv | AT sirajoabdullahibakura escapepathobstaclebasedmobilitymodelepomforcampusdelaytolerantnetwork AT alainlambert escapepathobstaclebasedmobilitymodelepomforcampusdelaytolerantnetwork AT thomasnowak escapepathobstaclebasedmobilitymodelepomforcampusdelaytolerantnetwork |