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基于路由热点循迹修正的WSN发射功率优化调度

Optimal Scheduling of WSN Power Transmission Based on Routing Hotspot Tracking Correction
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摘要 无线传感器网络WSN发射功率的优化调度是决定WSN使用寿命和提高WSN性能的关键,WSN路由节点的在进行数据转发时会导致热点随机扩散,发射功率无法难以实现最大化。提出一种基于路由热点循迹修正的WSN发射功率调度算法。设计了WSN节点路由热点循迹数据传输模型,对发射功率消耗能量模型采用一个高斯衰减信道建模,采用直线反馈线性化补偿方式对路由热点的偏移轨迹进行超负荷状态评估,采用贪婪算法生成一条多分簇路由链,对路由循迹轨迹进行修正,得到WSN优化发射功率的调度递推公式,实现能耗最佳的功率优化调度。实验结果表明,采用该优化调度方法,在准确实现热点循迹修正,传输功率较传统方法稳定,波动较小,WSN可靠性和生存性增强。 The optimal scheduling for wireless sensor networks WSN power is key to determine the WSN service life and the key to improve the performance of WSN, WSN routing node in the data transmitting will lead to hot stochastic diffusion, it is unable to achieve maximum transmit power. A kind of power scheduling algorithm for routing hotspot tracking correction based on WSN emission is proposed, the WSN node routing hotspot tracking data transmission model of transmission power is designed, and the energy consumption model using a Gauss fading channel modeling is obtained, linear feedback linear-ization compensation offset path on routing hot point of overload condition assessment is taken, using greedy algorithm a multi cluster routing chain, the route tracking trajectory correction, and the WSN optimization of transmit power dispatch-ing recurrence formula is obtained, the optimal power consumption optimization scheduling is completed. The experimental results show that, using the optimal scheduling method in WSN design, the hot tracking correction can be obtained accurate-ly, the transmission power is more stable than traditional method, it has less volatile, the reliability and survivability of WSN are enhanced.
作者 王勇 丁恩杰
出处 《科技通报》 北大核心 2014年第10期154-156,共3页 Bulletin of Science and Technology
关键词 无线传感器网络 热点循迹 发射功率 wireless sensor network hot tracking transmission power
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  • 1张梅凤,邵诚,甘勇,李梅娟.基于变异算子与模拟退火混合的人工鱼群优化算法[J].电子学报,2006,34(8):1381-1385. 被引量:82
  • 2李雪霞,冯久超.一种混沌信号的盲分离方法[J].物理学报,2007,56(2):701-706. 被引量:16
  • 3Akyildiz I F, Su W, Sankarasubramaniam Y, et al. A survey on sensor networks [J]. IEEE Communication Magazine, 2002, 40(8) :102 -116.
  • 4Heinzelman W B, Chandrakasan A P, Balakrishnan H. An appli- cation-specific protocol architecture for wireless microsensor net- works [ J ]. IEEE Transactions on Wireless Communication ,2002, 1 (4) :660 -670.
  • 5Linasey S, Raghavenda C S. PEGASIS:Power efficient gathering in sensor information system [ C ] jj Proceedings of IEEE Aero- space Conference ,2002 : 1125 -1130.
  • 6Younis O, Fahmy S. Heed : A hybrid, energy-efficient, distributed clustering approach for Ad-Hoc sensor networks[ J]. IEEE Tran- sactions on Mobile Computing,2004,3 (4) :660-669.
  • 7Sun J, Feng B, Xu W B. Particle swarm optimization with parti- cles having quantum behavior [ C ]//Proceedings of 2004 Con- gress on Evolutionary Computation, Piscataway, NJ : IEEE,2004 : 325 -331.
  • 8Heinzelman W B, Chandrakasan A P, Balakrishnan H. An appli- cation-specific protocol architecture for wireless microsensor net- works [J]. IEEE Transactions on Wireless Communication ,2002, 1 (4) :660 -670.
  • 9Chen M, Wang T, Feng J, et al. A hybrid particle swarm optimiza- tion improved by mutative scale chaos algorithm [ C ]//IEEE In- ternational Conference on Computational and Information Sci- ence,2012:321 -324.
  • 10Metropolis N, Rosenbluth Metal. Equation of state calculations by fast computing machines [ J ]. Journal of Chemical Physics, 1953, 56(21 ) :1087 -1092.

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