Optimization Deployment of Multi-Platform Earth Observation Resources for Emergencies

Abstract:

in emergency, to improve the collaborative observation capacity of multiple platform resources, including satellite, airship and UAV (Unmanned Aerial Vehicle), an approach for deploying resources based on genetic optimization is proposed in this paper. We model the observation area into grids, and formulate the multi-platform resource deployment as a combination optimization problem, which has the goal of maximizing the cover probability of the observation area in the constraint of response time. Integer encoding is adopted in the approach to represent the positions of resources. Besides, elitism strategy is applied to improve the convergence rate. Experiment results demonstrate that the approach based on genetic can get satisfactory multi-platform resources deployment solutions in a short time, solving multi-platform resource optimization deployment problem effectively.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 552-556
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.552
• Online since: September 2013
• Authors: Bin Zhang, Pei De Xu, Jian Jiang Wang, Chao Bo Wu
• Keywords: Emergency, Multi-Platform Earth Observation Resources, Optimal Coverage

References

[1] He Xin, Gui Xiao-lin, An Jian. A deterministic deployment approach of nodes in wireless sensor networks for target coverage [J]. Journal of Xi'an Jiaotong University, 2010, 44(6): 6-10.

[2] Qin Gu. Logistics distribution center allocation based on ant colony optimization [J]. System Engineering-Theory & Practice, 2006, 26(4): 120-124.

[3] Gendreau M, Laporte G, Semet F. A dynamic model and parallel tabu search heuristic for real-time ambulance relocation [J]. Parallel Computing, 2001, 27(12): 1641-1653.

DOI: 10.1016/s0167-8191(01)00103-x

[4] Jia J, Chen J, Chang G R, et al. Efficient cover set selection in wireless sensor networks[J]. Acta Automatica Sinica, 2008, 34(9): 1157-1162.

DOI: 10.3724/sp.j.1004.2008.01157

[5] Hu Ning, Zhang De-yun. Optimized placement of nodes for target detection in sensor networks [J]. Journal of Xi'an Jiaotong University, 2006, 40(8): 906-910.