Name
Title | ||
|---|---|---|
A Heuristic Path Planning Approach for UAVs Integrating Tracking Support Through Terrestrial Wireless Networks. |
Abstract | ||
|---|---|---|
In this paper we propose a new approach based on a heuristic search for UAVs path planning with terrestrial wireless network tracking. In a previous work we proposed and exact solution based on an integer linear formulation of the problem. Unfortunately, the exact resolution is limited by the computation complexity. In this case, we propose in this paper a new approach based on a heuristic search. More precisely, a heuristic adaptive scheme based on Dijkstra algorithm is proposed to yield a simple but effective and fast solution. In addition, the proposed solution can cover a large area and generate a set of optimum and near optimum paths according to the drone battery capacities. Finally, the simulation results show that the drone tracking is sustainable even in noisy wireless network environment. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-61949-1_23 | Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
Field | DocType | Volume |
Integer,Motion planning,Wireless network,Heuristic,Wireless,Computer science,Drone,Computation complexity,Dijkstra's algorithm,Distributed computing | Conference | 195 |
ISSN | Citations | PageRank |
1867-8211 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mustapha Bekhti | 1 | 2 | 1.17 |
| Nadjib Achir | 2 | 131 | 22.92 |
| Khaled Boussetta | 3 | 193 | 27.71 |
| Marwen Abdennebi | 4 | 0 | 0.34 |