摘要
为解决当前无线传感网流量优化算法传输效率不高、流量控制能力不强等问题,提出一种基于超参数区域匹配机制的无线传感网流量优化算法。首先,Sink节点按照剩余能力最大化原则优选核心控制节点,采用广播-反馈机制匹配全网符合要求的节点,能够迅速实现网络分割,提高网络流量初始优化能力。随后,网络综合能量剩余、拓扑距离等因素匹配备用节点,采用参数设计节点更新周期以降低因核心控制节点失效而导致网络传输抖动现象,最大限度匹配出具有较强传输能力的核心控制节点。最后,采用最小生成树方案对匹配出的核心控制节点实现快速组网,优化核心控制节点间的传输链路,稳定网络传输质量。仿真实验表明,所提算法与寿命感知聚类算法和能量模糊逻辑修正算法相比,具有流量控制强度高及最低传输能力较强等特点,具有较好的实际部署价值。
In order to solve the problems of current wireless sensor network traffic optimization algorithms,such as low transmission efficiency and weak flow control ability,a wireless sensor network traffic optimization algorithm based on super parameter area matching mechanism was proposed.First,Sink node selects the core control node according to the principle of maximizing residual capacity,and uses broadcast feedback mechanism to match the nodes that meet the requirements of the whole network,which can quickly realize network segmentation and improve the initial optimization capability of network traffic.Subsequently,the network matches the standby node by integrating factors such as energy surplus and topology distance,and uses the above parameters to design the node update cycle to reduce the network transmission jitter caused by the failure of the core control node,so as to maximize the matching of the core control node with strong transmission capacity.Finally,the minimum spanning tree scheme is adopted to realize rapid networking for the matched core control nodes,which can optimize the transmission link between the core control nodes and stabilize the network transmission quality.The simulation results show that the proposed algorithm has the characteristics of high flow control intensity and strong minimum transmission capacity compared with the life aware clustering algorithm and the energy fuzzy logic correction algorithm,and has good practical deployment value.
作者
王志强
王先传
WANG Zhi-qiang;WANG Xian-chuan(School of Health and Management,Fuyang Preschool Teachers College,Anhui Fuyang 236015,China;School of Computer and Information Engineering,Fuyang Normal University,Anhui Fuyang 236041,China)
出处
《齐齐哈尔大学学报（自然科学版）》
2023年第4期28-33,共6页
Journal of Qiqihar University(Natural Science Edition)
基金
安徽省科研编制计划科学研究重点项目(2022AH051311)
安徽省高校优秀青年骨干人才国内访学研修项目(gxgnfx2022031)。
关键词
超参数
核心控制节点
最小生成树
寿命感知
super parameter
core control node
minimum spanning tree
life perception
