摘要
本文提出了一种具有小世界特性的无线传感器网络簇级拓扑算法,引入Temple University吴杰教授提出的UCR(unequal cluster-based routing)机制,靠近基站簇尺寸变小,解决基站附近网络耗能过多的热点问题.通过OPNET对构造的簇级拓扑结构进行仿真,当超级节点数目增加到6～18时,平均路径长度降低,路径长度变化率降低,节能曲线变化率升高,能耗降低效果显著.仿真实验还表明,本文提出的具有小世界特性的无线传感器网络簇级拓扑结构对随机攻击具有很强的鲁棒性,具有很好的生存性能.复杂网络理论中的小世界网络具有较大的聚集系数和较小的平均路径长度,通过在原有网络中添加超级节点,形成能与sink节点直接通信的捷径,可以降低网络平均路径长度和能量消耗.目前小世界特性用于WSN的研究中,尚未考虑到sink节点附近的热点问题.
The article proposes a cluster level topology algorithm of wireless sensor network and it is proposed to combine with UCR （unequal cluster-based routing） mechanism proposed by Professor Wu Jie. It reduces the cluster size near the base station and solves the hot problem of the high energy consumption. Using OPNET simulation software to simulate the cluster-level topology, when the super node number increased to 6 to 18, the average path length is reduced, the path length rate change is reduced, and energy decreases significantly. The simulation experiment indicates that the cluster level topology structure of wireless sensor network shows the strong robustness with good survivability. In the complex network, small world network has large aggregation coefficient and small average path length. By adding super nodes to the original network, it forms shortcuts of direct communication between the sink node, and decreases the average path length and energy consumption. Currently, the small world is used to the survey of WSN, which has not taken the hot spot problem near base station in consideration.
出处
《中国科学：信息科学》
CSCD
2014年第10期1281-1289,共9页
Scientia Sinica(Informationis)
基金
国家自然科学基金(批准号:61332019,61272096)
上海市教育委员会创新基金重点项目(批准号:14ZZ089)资助
关键词
无线传感器网络
复杂网络
小世界网络
生存性
仿真
wireless sensor networks, complex networks, small-world networks, survivability, simulation
