CAJ | 학술논문

针对无线传感器网络路由中网络节点能量和生存时间受限问题，提出了一种基于蚁群优化的WSN分簇路由算法。算法引入蚁群优化，对网络覆盖区域内的节点进行分簇处理，簇内利用蚁群优化算法进行最优路径搜索。仿真结果表明：该算法能有效平衡网络节点间能耗，延长网络生存期，蚁群增强了最优路径的可靠性，进一步降低了网络能耗。
침대무선전감기망락로유중망락절점능량화생존시간수한문제，제출료일충기우의군우화적WSN분족로유산법。산법인입의군우화，대망락복개구역내적절점진행분족처리，족내이용의군우화산법진행최우로경수색。방진결과표명：해산법능유효평형망락절점간능모，연장망락생존기，의군증강료최우로경적가고성，진일보강저료망락능모。
Since node energy in the wireless sensor network node energy and the survival time is limited, at the routing problems in wireless sensor networks, a WSN clustering routing algorithm based on ant colony optimiza-tion is proposed.Ant colony optimization is first introduced to cluster the nodes in the network-covered area while the optimal path search is obtained through ant colony optimization algorithm within the clusters.The simulation results show that the algorithm can effectively balance network energy consumption among nodes and prolong the network lifetime.Besides, ant colony can enhance the reliability of the optimal path and further reduce the energy consumption of the network.