Swarm Intelligence for the Self-Organization of Wireless Sensor Network
Swarm Intelligence for the Self-Organization of Wireless Sensor Network
复制标题
用于无线传感器网络自组织的群体智能
DOI：
10.1109/cec.2006.1688398
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Q. Pan
中科院分区：
文献类型：
--
作者：
Rui Wang;Yan Liang;GangQiang Ye;Chaoxia Lu;Q. Pan
在无线传感器网络（WSN）中，如何通过自组织（SO）来平衡感知能力和能量消耗这两个相互冲突的性能指标是一个基本问题。该算法将传感器网络中的每个节点映射为蚁群系统中的一只蚂蚁，利用当前信息素对节点通信信息进行建模。将传感器网络的SO问题转化为蚁群智能优化问题。当蚂蚁发现感兴趣的目标时，它会释放信息素，信息素可以在其邻近区域扩散。通过计算蚂蚁的信息素积累量，自适应地、分布式地确定蚂蚁的唤醒概率，从而实现无线传感器网络的自组织。因此，提出了一种新的群体智能方法的传感器网络的SO。仿真结果表明了该方法的有效性。
In wireless sensor networks (WSN), it is a fundamental issue to balance two conflicted performance indexes: sensing ability and energy cost, via the self-organization (SO). Here each sensor node in the WSN is mapped to an ant in ant colony system and node communication information is modeled by the current pheromone. The SO problem of the WSN is transformed to the swarm intelligence optimization problem of ant colony. If an ant detects an interested target, it will lay pheromone, which can diffuse in its neighbor zone. The accumulated pheromone is calculated to adaptively and distributively determine the waking probability of the ant so that the self organization of the WSN can be implemented automatically. Hence a new swarm intelligence method for the SO of WSN is proposed. The simulations show the effectiveness of our method.