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一种基于改进蚁群优化算法的WSNs路由协议 被引量:3

A novel improved ant colony optimization-based routing protocol in wireless sensor networks
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摘要 面对无线传感网络(wireless sensor network,WSN)路由问题,提出新颖生物激励-自我组织的安全自适应路由协议(biological inspired self-organized secure autonomous routing protocol,BIOSARP)。BIOSARP采用改进蚁群优化算法(improved ant colony optimization,IACO),利用端到端传输时延、剩余电量和链路质量计算信息素,并据此信息决策最优转发节点,从而减小广播次数和数据包负担,降低时延、数据包丢失率和功率消耗。仿真结果表明:提出的BIOSARP在数据包传递率、能量消耗优于安全实时负荷分配协议(secure real-time load distribution,SRTLD),数据包传递率提高24.75%,能量消耗降低31.8%。 To solve routing problems in wireless sensor networks(WSN),a biological inspired self-organized secure autonomous routing protocol(BIOSARP) has been proposed in this paper. In the BIOSARP mechanism, an optimal forwarding decision was obtained by the improved ant colony optimization(IACO). With the help of the IACO,the pheromone value was computed according to the end-to-end delay,remaining battery power,and link quality metrics. The proposed BIOSARP has been designed to reduce the broadcast and packet overhead to minimize the delay, packet loss, and power consumption in WSNs. Simulation results show that the delivery ratio of the BIOSARP has been improved by 24.75% so as to reduce the energy consumption by 31.8%compared to the secure real-time load distribution(SRTLD).
出处 《中国测试》 CAS 北大核心 2015年第9期106-109,共4页 China Measurement & Test
基金 国家自然科学基金(20121302167) 水沙科学与水利水电工程国家重点实验室科研课题(2012-KY-05)
关键词 蚁群优化算法 信息素 自主 路由协议 无线传感网 ant colony optimization pheromone autonomous agents routing protocols wireless sensor networks
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参考文献10

  • 1Mehmet C. Vuran,Ian F. Akyildiz.XLP: A Cross-Layer Protocol for Efficient Communication in Wireless Sensor Networks. IEEE TRANSACTIONS ON MOBILE COMPUTING . 2010 被引量:1
  • 2Ahmed, Adel Ali,Fisal, Norsheila Fisal.Secure real-time routing protocol with load distribution in wireless sensor networks. Security and Communication Networks . 2011 被引量:1
  • 3He T,Stankovic JA,Lu C,et al.SPEED: A stateless protocol for real-time communication in sensor networks. Proceedings of the 23rd International Conference on Distributed Computing Systems . 2003 被引量:1
  • 4Gómez Mármol, Félix,Martínez Pérez, Gregorio.Providing trust in wireless sensor networks using a bio-inspired technique. Telecommunication Systems . 2011 被引量:1
  • 5Kashif Saleem,Norsheila Fisal,M. Ariff Baharudin,Adel Ali Ahmed,Sharifah Hafizah,Sharifah Kamilah.Ant colony inspired self-optimized routing protocol based on cross layer architecture for wireless sensor networks. WSEAS TRANSACTIONS on COMMUNICATIONS . 2010 被引量:1
  • 6Keivan Ghoseiri,Fahimeh Morshedsolouk.ACS-TS: Train scheduling using ant colony system. J. Appl. Math. Decis. Sci . 2006 被引量:1
  • 7Cerpa A,Wong J L,Kuang L,et al.Statistical model of lossy links in wireless sensor networks. Proc of ACM/IEEE 4th Int Symp IPSN . 2005 被引量:1
  • 8Muoz A,Anton P,Maa A.Multiagent systems protection. Adv Softw Eng . 2011 被引量:1
  • 9Saleem K,Fisal N.Empirical studies of bio-inspired self-organized secure autonomous routing protocol. IEEE Sensors Journal . 2014 被引量:1
  • 10Chen G,Guo T D,Yang W G,et al.An improved ant based routing protocol in wireless sensor networks. Collaborative Comput . 2006 被引量:1

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