Reactive deployment of flying robot base station over disaster areas

Hailong Huang; Andrey V. Savkin

doi:10.1109/ROBIO.2018.8664865

Reactive deployment of flying robot base station over disaster areas

Hailong Huang
, Andrey V. Savkin

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

This paper considers the scenario where the stationary base stations (SBSs) in some disaster areas are destroyed and we deploy flying robot base stations (FR-BSs) to bridge the affected users to cellular network. We propose an optimization model to maximize the quality of coverage. All the FR-BSs and the remote SBSs form a connected graph for communication, and when FR-BSs move, they always keep a safe distance to avoid collision. A coverage maximizing algorithm to find a locally optimal solution is developed, which is run by each FR-BS individually, requires local information only to guide the movement of a FR-BS. We have proved its convergence and demonstrated the performance via computer simulations.

Original language	English
Title of host publication	2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)
DOIs	https://doi.org/10.1109/ROBIO.2018.8664865
Publication status	Published - Dec 2018
Externally published	Yes

More information

10.1109/ROBIO.2018.8664865

Cite this

@inproceedings{509ee3d9129a4138a60efb8b383b4923,

title = "Reactive deployment of flying robot base station over disaster areas",

abstract = "This paper considers the scenario where the stationary base stations (SBSs) in some disaster areas are destroyed and we deploy flying robot base stations (FR-BSs) to bridge the affected users to cellular network. We propose an optimization model to maximize the quality of coverage. All the FR-BSs and the remote SBSs form a connected graph for communication, and when FR-BSs move, they always keep a safe distance to avoid collision. A coverage maximizing algorithm to find a locally optimal solution is developed, which is run by each FR-BS individually, requires local information only to guide the movement of a FR-BS. We have proved its convergence and demonstrated the performance via computer simulations.",

author = "Hailong Huang and Savkin, \{Andrey V.\}",

year = "2018",

month = dec,

doi = "10.1109/ROBIO.2018.8664865",

language = "English",

booktitle = "2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)",

}

TY - GEN

T1 - Reactive deployment of flying robot base station over disaster areas

AU - Huang, Hailong

AU - Savkin, Andrey V.

PY - 2018/12

Y1 - 2018/12

N2 - This paper considers the scenario where the stationary base stations (SBSs) in some disaster areas are destroyed and we deploy flying robot base stations (FR-BSs) to bridge the affected users to cellular network. We propose an optimization model to maximize the quality of coverage. All the FR-BSs and the remote SBSs form a connected graph for communication, and when FR-BSs move, they always keep a safe distance to avoid collision. A coverage maximizing algorithm to find a locally optimal solution is developed, which is run by each FR-BS individually, requires local information only to guide the movement of a FR-BS. We have proved its convergence and demonstrated the performance via computer simulations.

AB - This paper considers the scenario where the stationary base stations (SBSs) in some disaster areas are destroyed and we deploy flying robot base stations (FR-BSs) to bridge the affected users to cellular network. We propose an optimization model to maximize the quality of coverage. All the FR-BSs and the remote SBSs form a connected graph for communication, and when FR-BSs move, they always keep a safe distance to avoid collision. A coverage maximizing algorithm to find a locally optimal solution is developed, which is run by each FR-BS individually, requires local information only to guide the movement of a FR-BS. We have proved its convergence and demonstrated the performance via computer simulations.

U2 - 10.1109/ROBIO.2018.8664865

DO - 10.1109/ROBIO.2018.8664865

M3 - Conference article published in proceeding or book

BT - 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)

ER -

Reactive deployment of flying robot base station over disaster areas

Abstract

More information

Fingerprint

Cite this