CAJ | 학술논문

针对城市道路车辆密集的特点，利用LTE-V定期发送位置信息的机制，提出了一种快速收敛的蚁群优化算法，通过确定节点选择带的预处理方法，减少了参与蚁群优化节点的数量，进而了提高算法的收敛速度。同时，在信息素初始值设定中，低概率增加选择带以外的节点的参与程度，降低了蚁群优化不能收敛的风险。仿真结果显示，优化后的蚁群算法，收敛速度获得显著提升。
침대성시도로차량밀집적특점，이용LTE-V정기발송위치신식적궤제，제출료일충쾌속수렴적의군우화산법，통과학정절점선택대적예처리방법，감소료삼여의군우화절점적수량，진이료제고산법적수렴속도。동시，재신식소초시치설정중，저개솔증가선택대이외적절점적삼여정도，강저료의군우화불능수렴적풍험。방진결과현시，우화후적의군산법，수렴속도획득현저제승。
The LTE-V networks need quickly conver-gence routing protocol because of the fast moving and relative position changing frequently of the OBU (on board units). According to the characteristics of high density of vehicle on urban roads, and utilizing the strategy of the periodic location Information broadcast-ing in LTE-V networks, this paper presents an opti-mized quick convergence ACO algorithm which re-duce the number of the participant nodes by determin-ing the choice node zone in pre-processing . Mean-while, in the initialization of the pheromone, the algo-rithm adds some nodes adjacent the chosen zone in low probability to reduce the risk of the divergence.