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...

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Main Authors: Ming Zhu, Fei Liu, Zhiping Cai, Ming Xu
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
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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
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