BPH Sensor Network Optimization Based on Cellular Automata and Honeycomb Structure

摘要: The brown planthopper (BPH) is a crucial pest of rice in tropical zones like the Mekong Delta Vietnam. It economically causes severe loss to harvest via direct nutritional depletion. Many studies address BPH surveillance by using networks wireless sensors that are mounted on light traps. However, these approaches have not been confirmed as effective deployment due inoperative traps’ locations. problem geographical area towns identical, leading unnecessary redundancy and Our aim this article optimize locations sensor utilizing cellular automata honeycomb architecture which affected spatial characteristic geographically. authors made several contributions regarding mentioned (i) quantitatively proving cost significantly reduced, consequently (ii) optimizing network. Therefore, appropriate configuration network maintained any circumstances. experiments performed Hau Giang, substantial province