[1]王洪元,刘志远,卜 莹.基于蚁群优化算法的无线传感器网络跨层路由协议[J].常州大学学报(自然科学版),2014,(02):32-37.[doi:10.3969/j.issn.2095-0411.2014.02.009]
　WANG Hong-yuan,LIU Zhi-yuan,BU Ying.Ant Colony Optimization Algorithm For WSN CrossLayer Routing Protocol[J].Journal of Changzhou University(Natural Science Edition),2014,(02):32-37.[doi:10.3969/j.issn.2095-0411.2014.02.009]
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基于蚁群优化算法的无线传感器网络跨层路由协议()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2014年02期
页码:
32-37
栏目:
出版日期:
2014-04-30

文章信息/Info

Title:
Ant Colony Optimization Algorithm For WSN CrossLayer Routing Protocol
作者:
王洪元; 刘志远; 卜 莹
常州大学 信息科学与工程学院,江苏 常州 213164
Author(s):
WANG Hong-yuan; LIU Zhi-yuan; BU Ying
School of Information Science and Engineering,Changzhou University,Changzhou 213164,China
关键词:
蚁群算法; 无线传感器网络; 跨层优化; 能耗平衡; 网络冲突
Keywords:
ant colony algorithm;  wireless sensor network;  cross layer optimization;  network conflict
分类号:
TP312
DOI:
10.3969/j.issn.2095-0411.2014.02.009
文献标志码:
A
摘要:
针对无线传感器网络对实时性、鲁棒性及能耗平衡要求较高的特点,提出了基于蚁群算法和跨层优化的无线传感器网络路由协议ABCRO(Ant-Based&Cross-layerRoutingOptimization)。算法综合考虑各层之间的信息共享机制,将链路的通信开销和链路通信情况以数据的形式转换为网络性能优良的评估参数;通过将接纳控制网络节点机制、信息素禁忌表的双向更新、节点剩余能量信息维护及跳数更新等信息加入路由选择公式,有效增强算法的可扩展性,降低通信过程中的拥塞问题。仿真实验表明ABCRO算法能够较快的寻找出一条最优的路径,从而平衡网络能耗,降低冲突率,有效提高网络整体性能,延长网络寿命。
Abstract:
In view of the characteristics of high demand for wirelesssensor networks in realtime,robustness and energy balance,this paper puts forward a wireless sensor network routing protocol based on ant colony algorithm andoptimization of and cross layer named ABCRO(AntBased & Crosslayer RoutingOptimization).Considering information sharing mechanism between the layers,thealgorithm converts the communication overhead and link communication for excellent network performance evaluation parameters in the form of data,through addingthe information to the routing algorithm such as admission control mechanism ofnetwork nodes.Twoway update of pheromone taboo table,information maintenance for noderesidual energy and hop count update, thus enhancing the scalability of the algorithm effectively and reducing congestion problems in the communication process.Simulation results show that ABCRO algorithm can quickly find out an optimal path,so as to balance the network energy consumption and decrease the rate of online conflict,effectively improve the overall network performance and prolong the network life.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:王洪元(1960-),男,江苏常熟人,博士,教授,主要从事人工智能系统研究。
更新日期/Last Update: 2014-04-20