摘要
现有的路由算法通常选择跳数少、距离短的传输路径。由于无线传感器的能量受限,导致一些节点的能量快速消耗,节点死亡,从而降低网络的生命周期。针对上述问题,提出一种基于蚁群优化算法和能量预测的WSN路由方法。通过建立节点距离、跳数和能量的多维信息素模型,根据数据传输过程中节点的剩余能量动态调整路由,从而保证节点能量均衡下降,延长WSN网络的生命周期。在汇聚节点通过能量预测的方法,预测传感器节点的剩余能量,保证路径节点在进行多次自修复或修复失败时,能够快速找到修复路径的最优解。仿真结果表明,该方法在保证较高传输效率的基础上,网络的生命周期提高了33%。
The existing routing algorithms usually choose the transmission path with few hops and short distance.Due to the limited energy of wireless sensor,the energy of some nodes is rapidly consumed and the nodes die,thus reducing the life cycle of the network.To solve these problems,a WSN routing method based on ant colony optimization algorithm and energy prediction is proposed.By establishing a multidimensional pheromone model of node distance,hop number and energy,the route is dynamically adjusted according to the residual energy of nodes in the process of data transmission,so as to ensure the balanced decline of node energy and prolong the life cycle of WSN network.At the sink node,the residual energy of the sensor node is predicted by the energy prediction method to ensure that the path node can quickly find the optimal solution of the repair path in case of multiple self-repair or repair failures.The simulation results show that the network life cycle is increased by 33%on the basis of ensuring high transmission efficiency.
作者
赵重阳
刘建航
孟旭
李跃洪
晁展
ZHAO Chongyang;LIU Jianhang;MENG Xu;LI Yuehong;CHAO Zhan(China University of Petroleum(East China),Qingdao 266580)
出处
《计算机与数字工程》
2025年第12期3455-3460,共6页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:61972417)
山东省自然科学基金项目(编号:ZR2020MF005)资助。
关键词
无线传感器
蚁群算法
能量预测
wireless sensor network
ant colony algorithm
energy prediction
