Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles
Recently, Unmanned Aerial Vehicles (UAVs) have emerged as relay platforms to maintain the connectivity of ground mobile ad hoc networks (MANETs). However, when deploying UAVs, existing methods have not consider one situation that there are already some UAVs deployed in the field. In this paper, we s...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/952069 |
id |
doaj-6aae4e1b6dae4fb781b885ad518fc7fb |
---|---|
record_format |
Article |
spelling |
doaj-6aae4e1b6dae4fb781b885ad518fc7fb2020-11-24T22:54:13ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/952069952069Maintaining Connectivity of MANETs through Multiple Unmanned Aerial VehiclesMing Zhu0Fei Liu1Zhiping Cai2Ming Xu3College of Computer, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Computer, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Computer, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Computer, National University of Defense Technology, Changsha, Hunan 410073, ChinaRecently, Unmanned Aerial Vehicles (UAVs) have emerged as relay platforms to maintain the connectivity of ground mobile ad hoc networks (MANETs). However, when deploying UAVs, existing methods have not consider one situation that there are already some UAVs deployed in the field. In this paper, we study a problem jointing the motion control of existing UAVs and the deployment of new UAVs so that the number of new deployed UAVs to maintain the connectivity of ground MANETs can be minimized. We firstly formulate the problem as a Minimum Steiner Tree problem with Existing Mobile Steiner points under Edge Length Bound constraints (MST-EMSELB) and prove the NP completeness of this problem. Then we propose three Existing UAVs Aware (EUA) approximate algorithms for the MST-EMSELB problem: Deploy-Before-Movement (DBM), Move-Before-Deployment (MBD), and Deploy-Across-Movement (DAM) algorithms. Both DBM and MBD algorithm decouple the joint problem and solve the deployment and movement problem one after another, while DAM algorithm optimizes the deployment and motion control problem crosswise and solves these two problems simultaneously. Simulation results demonstrate that all EUA algorithms have better performance than non-EUA algorithm. The DAM algorithm has better performance in all scenarios than MBD and DBM ones. Compared with DBM algorithm, the DAM algorithm can reduce at most 70% of the new UAVs number.http://dx.doi.org/10.1155/2015/952069 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ming Zhu Fei Liu Zhiping Cai Ming Xu |
spellingShingle |
Ming Zhu Fei Liu Zhiping Cai Ming Xu Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles Mathematical Problems in Engineering |
author_facet |
Ming Zhu Fei Liu Zhiping Cai Ming Xu |
author_sort |
Ming Zhu |
title |
Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles |
title_short |
Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles |
title_full |
Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles |
title_fullStr |
Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles |
title_full_unstemmed |
Maintaining Connectivity of MANETs through Multiple Unmanned Aerial Vehicles |
title_sort |
maintaining connectivity of manets through multiple unmanned aerial vehicles |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2015-01-01 |
description |
Recently, Unmanned Aerial Vehicles (UAVs) have emerged as relay platforms to maintain the connectivity of ground mobile ad hoc networks (MANETs). However, when deploying UAVs, existing methods have not consider one situation that there are already some UAVs deployed in the field. In this paper, we study a problem jointing the motion control of existing UAVs and the deployment of new UAVs so that the number of new deployed UAVs to maintain the connectivity of ground MANETs can be minimized. We firstly formulate the problem as a Minimum Steiner Tree problem with Existing Mobile Steiner points under Edge Length Bound constraints (MST-EMSELB) and prove the NP completeness of this problem. Then we propose three Existing UAVs Aware (EUA) approximate algorithms for the MST-EMSELB problem: Deploy-Before-Movement (DBM), Move-Before-Deployment (MBD), and Deploy-Across-Movement (DAM) algorithms. Both DBM and MBD algorithm decouple the joint problem and solve the deployment and movement problem one after another, while DAM algorithm optimizes the deployment and motion control problem crosswise and solves these two problems simultaneously. Simulation results demonstrate that all EUA algorithms have better performance than non-EUA algorithm. The DAM algorithm has better performance in all scenarios than MBD and DBM ones. Compared with DBM algorithm, the DAM algorithm can reduce at most 70% of the new UAVs number. |
url |
http://dx.doi.org/10.1155/2015/952069 |
work_keys_str_mv |
AT mingzhu maintainingconnectivityofmanetsthroughmultipleunmannedaerialvehicles AT feiliu maintainingconnectivityofmanetsthroughmultipleunmannedaerialvehicles AT zhipingcai maintainingconnectivityofmanetsthroughmultipleunmannedaerialvehicles AT mingxu maintainingconnectivityofmanetsthroughmultipleunmannedaerialvehicles |
_version_ |
1725661455082061824 |