CAJ | 학술논문

为了实现无线传感器网络对节点能量的高效利用，提出了一种蚁群优化的分簇路由算法CRA-ACA。该算法引入簇内平均剩余能量参数，对簇首选择阈值进行改进，以均衡簇内能耗；根据节点间的位置关系建立节点的可中继节点集，控制蚁群算法的搜索空间；蚁群在对可中继节点集进行路径搜索时考虑节点间的距离和节点的剩余能量，以生成节能和较好均衡网络能耗的多跳网络路由；对生成的多径路由依相应概率选择数据传输的路径，提高数据传输的可靠性。仿真结果表明，该算法在网络能量的利用效率、数据传送成功率，以及延长网络生存周期等方面具有较好的性能。
위료실현무선전감기망락대절점능량적고효이용，제출료일충의군우화적분족로유산법CRA-ACA。해산법인입족내평균잉여능량삼수，대족수선택역치진행개진，이균형족내능모；근거절점간적위치관계건립절점적가중계절점집，공제의군산법적수색공간；의군재대가중계절점집진행로경수색시고필절점간적거리화절점적잉여능량，이생성절능화교호균형망락능모적다도망락로유；대생성적다경로유의상응개솔선택수거전수적로경，제고수거전수적가고성。방진결과표명，해산법재망락능량적이용효솔、수거전송성공솔，이급연장망락생존주기등방면구유교호적성능。
In order to improve the nodes’ energy efficiency of w ireless sensor networks (WSN), an optimized clustering routing algorithm based on ant colony algorithm (CRA-ACA) is proposed. The CRA-ACA is established according to the position relationships between nodes to construct a relay node set so that the searching space of ant colony algorithm can be optimized. Considering the residual energy of nodes and the distance between them during the path searching of ACA, a multi-hop network with balanced energy consumption is established. The routes of data transmission can be selected by probability so that the reliability of data transmission is improved. The CRA-ACA is also evaluated by simulation. The results indicate that the CRA-ACA has better performance in terms of energy efficiency, reliability of data transmission, and WSN lifespan.