基于蚁群优化的无线传感器网络路由算法

如何在资源受限的无线传感器网络中进行高效的数据路由是无线传感器网络研究的热点之一。基于群智能优化技术的蚁群优化算法被广泛应用于网络路由算法。提出一种无线传感器网络蚁群优化路由算法,能够保持网络的生存时间最长,同时能找到从源节点到基站节点的最短路径;采用的多路数据传输也可提供高效可靠的数据传输,同时考虑节点的能量水平。仿真结果表明:提出的算法延长了无线传感器网络的寿命,实现无线传感器网络在通信过程中快速、节能的路由。

ACO-based routing algorithm for WSNs

How to get high-efficient data routing for the limited energy resource networks is one of the hot spot in the study of wireless sensor networks （WSNs）.Ant colony optimization （ACO） algorithm,a swarm intelligence-based optimization technique,is widely used in network routing.Present a WSNs ACO routing algorithm,which can maintain network lifetime to be longest,while discovering the shortest paths from source nodes to base station node;multi-path data transmission can also provide high-efficient reliable network operations,while considering energy levels of nodes simultaneously.Simulation results show that this proposed algorithm prolongs lifetime of WSNs and fast and energy-efficient routing of WSNs in communication process is realized.