能源限制是无线传感器网络(wireless sensor networks,WSNs)面临的一系列挑战中的首要问题.如何有效管理和利用有限的能量是设计WSNs路由协议的关键.为此,提出基于改进的灰狼优化算法的WSNs能耗均衡路由(improved grey wolf optimizer based energy balancing secure,IGWOEBS)算法,能快速搜索并建立从源节点至汇聚节点的路径,提高数据包传递率,均衡节点能耗.仿真结果表明,相比于动态分区路由算法和多策略灰狼算法,该算法延长了网络生命周期,并提升了数据收集发送传输率.
Energy-balanced Routing in WSNs Based on IGWO Algorithm
Energy limitation is at the top of the list of challenges faced by wireless sensor networks (WSNs). How to effectively manage and utilize the limited energy is the key to design the WSNs routing protocols. Therefore,an improved grey wolf optimizer based energy balancing secure (IGWOEBS) algorithm is proposed for WSNs. The IGWOEBS algorithm can quickly search and establish a path from the source node to the sink node,improving the data packet delivery rate and balancing node energy consumption. Simulation results show that compared to the dynamic partition routing algorithm and multi-strategy gray wolf algorithm,IGWOEBS extends the network lifecycle and improves the data collection,transmission,and delivery rate.
wireless sensor networksgrey wolf optimizernetwork lifecycledata transmission rate
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