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基于多目标优化函数的无线传感器网络负载均衡路由协议
引用本文:张健. 基于多目标优化函数的无线传感器网络负载均衡路由协议[J]. 安庆师范学院学报(自然科学版), 2015, 21(4): 33-36. DOI: 10.13757/j.cnki.cn34-1150/n.2015.04.009
作者姓名:张健
作者单位:安徽三联学院 计算机工程学院,安徽 合肥,230001
基金项目:安徽省教育厅高等学校省级自然科研项目
摘    要:针对目前无线传感器网络路由协议在延长网络生存期和提高网络整体性能等方面存在的缺陷,以平衡网络中节点能量消耗、延长网络生存期为优化目标,提出了一种基于多目标优化函数路由协议. 该协议将节点可用能量、路由跳数和节点之间物理距离等参数引入到路由选择函数中,以实现最优路径的建立和对无线传感器网络性能的综合优化. NS2仿真结果表明,与传统的定向扩散协议相比,数据发送成功率提高了15. 3%,网络能量利用率提升了9. 7%,网络生存期延长约12%,在无线传感器网络中具有显著的优越性.

关 键 词:无线传感器网络  多目标优化函数  能量效率  路由跳数  网络生存期

Load Balancing Routing Protocol for Wireless Sensor Networks Based on Multi-object Optimization Function
Abstract:To avoid the deficiencies of present wireless sensor network routing Protocol in extending network lifetime and im-proving network performance, a routing algorithm based on multi-object optimization functions is proposed to achieve the optimiza-tion goals of balancing network node energy consumption and extending network lifetime. Optimum path is set up by introducing parameters like available energy of nodes, routing hops and physical distance between nodes into routing selection function. In this way, the integrated optimization of wireless sensor network performance is achieved. We conduct a NS2 emulation experiment and the result shows, our proposed algorithm have achieved higher transmission reliability, lower energy consumption and much longer network lifetime. Compared with traditional directed diffusion algorithms, the rate of data transmission success raises by 15. 3%, utilization ratio of network energy by 9. 7%, and network lifetime by 12%. Generally our proposed method has more advantages in wireless sensor networks.
Keywords:wireless sensor networks  multi-object optimization functions  energy efficiency  routing hops  network lifetime
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