摘要
针对无线传感器网络中节点使用寿命短和能量不均衡使用的问题,提出一种基于蚁群算法的搜索区域受限的无线传感器网络路由协议(SACACO)。该协议在选择下一跳节点时,不仅限定了节点的选择范围,而且根据节点周围的能量密度情况,设计了新的蚂蚁前向选择概率模型,均衡了全网的能量消耗。仿真结果表明,SACACO算法在路由查询成功率,网络的生存时间有了明显的提高。
Based on the ant colony algorithm, A search area constrained routing protocol （SACACO） is presented to solve the problems of the nodes＇ short lifetime and the imbalance of the energy use for wireless sensor network. When selecting the next node, the protocol not only restricts the selection range, but also according to the energy density of the node, designs a new for ward probability model which balances the energy consumption. Simulation results show that the SACACO has a higher search success rate and efficiently improves the network lifetime.
出处
《计算机工程与设计》
CSCD
北大核心
2014年第3期771-774,797,共5页
Computer Engineering and Design
关键词
蚁群算法
搜索区域
能量密度
选择概率模型
生存时间
ant colony algorithm
search area constrained
energy density
forward probability mode
the network lifetime
