摘要
为了均衡无线传感器网络能耗,延长网络寿命,提出一种树型链式非均匀分簇混合多跳路由算法(TUCHM)。通过引入候选簇头之间的角度控制优化簇头选取,构建树型链式非均匀簇结构以优化成簇策略,利用混合层次网络拓扑结构、并改进蚁群算法的路径选择概率模型和信息素更新模型,实现混合多跳传递数据,以消除LEACH等分簇路由算法在大面积仿真环境下簇内远距离单跳传递和簇头向Sink节点远距离单跳传递的缺点。仿真实验结果表明:与LEACH和DEEC算法相比,TUCHM算法在节点存活数量、网络的稳定周期和生命周期、节点剩余能量方差等性能方面表现优异。
In order to balance energy consumption of wireless sensor networks and prolong the network lifetime,a tree-chain uneven cluster hybrid multi-hop(TUCHM)routing algorithm is proposed.The algorithm introduces the angle control between candidate cluster heads so as to optimize the cluster head selection method,constructs a tree-type chain uneven cluster structure to optimize the clustering strategy,utilizes the hybrid hierarchical network topology structure,and improves the path selection probability model and pheromone update model of ant colony algorithm to achieve hybrid multi-hop transmit data,so as to eliminate the shortcomings of clustering routing algorithms such as LEACH with long-distance single-hop transmission in clusters and long-distance single-hop transmission from cluster heads to Sink node in large area simulation environment.Simulation results show that compared with LEACH and DEEC algorithm,TUCHM algorithm has excellent performance in terms of the number of surviving nodes per round,the stability period and lifetime period of the network,and the variance of the residual energy of the nodes.
作者
胡中栋
张康
王振东
HU Zhong-dong;ZHANG Kang;WANG Zhen-dong(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处
《传感器与微系统》
CSCD
2019年第3期147-150,153,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61562038
61562037)
江西省自然科学基金资助项目(20171BAB202026)
关键词
无线传感器网络
树
链
非均匀
蚁群算法
混合拓扑
wireless sensor networks(WSNs)
tree
chain
uneven
ant colony algorithm
hybrid topology
