Research Article
Design and optimization of the Automatic Brown PlantHopper (BPH) light trap surveillance network
@ARTICLE{10.4108/eai.2-5-2016.151211, author={Huong Hoang Luong and Thanh Hai Nguyen and Hung Huu Huynh and Hiep Xuan Huynh}, title={Design and optimization of the Automatic Brown PlantHopper (BPH) light trap surveillance network}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={3}, number={9}, publisher={EAI}, journal_a={CASA}, year={2016}, month={5}, keywords={light trap, BPH, surveillance network, optimization, optimal- design, hexagonal cellular automata.}, doi={10.4108/eai.2-5-2016.151211} }- Huong Hoang Luong
Thanh Hai Nguyen
Hung Huu Huynh
Hiep Xuan Huynh
Year: 2016
Design and optimization of the Automatic Brown PlantHopper (BPH) light trap surveillance network
CASA
EAI
DOI: 10.4108/eai.2-5-2016.151211
Abstract
Communicating coverage of automatic BPH light trap surveillance network characterizes how well an area is monitored or tracked by automatic light traps. Connectivity is an important required that shows how nodes in a automatic BPH light trap surveillance network (BSNET) can effectively communicate. Some areas in the deployment region are more important than other areas and need to be covered. In this paper, we propose a new approach based hexagonal cellular automata to find the automatic light trap node distribution. This approach are ensure the deployment region that maximizes the coverage area of BSNET, and preserve connectivity between nodes provided.
Copyright © 2016 H. H. Luong et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.