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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 impor...
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Containerization provides a definite platform for faster deployment of application and hence widely adopted in most of the existing and emerging technologies. Applications being deployed on such platform need to be monitored and most importantly it becomes essential to manage the logs generated by each application which helps in identifying and kee...
Citations
... Consequently, they have to accept the redundancy of sensors which consumes a large amount of cost. Luong et al. propose OBSNET [11] based on hexagonal cellular automata and GAML platform [1] which has been seen as an attempt to improve the model in [10]. Nevertheless, the authors have not solved the deployment evaluation which exists from the original model. ...
The brown planthopper (BPH) is a crucial pest of rice in tropical zones like the Mekong Delta of Vietnam. It economically causes severe loss to the rice harvest via direct nutritional depletion. Many studies address the BPH surveillance by using networks of wireless sensors that are mounted on light traps. However, these approaches have not been confirmed as effective deployment due to inoperative light traps’ locations. The problem is that the geographical area of towns is not identical, leading to unnecessary redundancy of sensors and light traps. Our aim in this article is to optimize the locations of BPH sensor networks by utilizing cellular automata and honeycomb architecture which have not been affected by the spatial characteristic geographically. The authors have made several contributions regarding the mentioned problem by (i) quantitatively proving that the deployment cost of BPH sensor networks is significantly reduced, and consequently (ii) optimizing the BPH sensor network. Therefore, the appropriate configuration of the network is maintained in any circumstances. The experiments have been performed on BPH surveillance networks in Hau Giang, a substantial rice province in the Mekong Delta of Vietnam.
