基于中继状态调度的无线传感网络低能量算法
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摘要
针对中继无线传感器节点的能量联合优化调度问题,提出一种基于中继状态调度的无线传感器网络低能量算法。通过对中继节点实施状态调度来节约节点能耗,根据任务执行情况进行活动状态和休眠状态切换,减少空闲节点能量流失。基于信道容量进行信道传输数据位的平均数量约束,在最小化节点能量支出的同时不会影响网络的数据传播效率及稳定性。仿真结果表明,该算法与现阶段的节能中继选择算法及基于能量感知的中继选择算法相比,至少降低5%的数据分组平均能量开销,至少降低11.7%的平均数据分组丢失率。
For the problem of the joint energy relay wireless sensor nodes optimal scheduling,a low energy wireless sensor network algorithm based on the scheduling of the relay state was proposed.The energy was saved by status scheduling for the relay node,according to the implementation of the task,active and dormant state were switched to reduce the node energy loss.Since the state of scheduling nodes first considered the effective time of the node to perform tasks,and it was based on the channel capacity to constrain the average number of channels transmission data bits,it not affected the efficiency and stability of data dissemination network when minimized the node energy expenditure.Simulation results show that,compared to the saving relay selection algorithm and energy aware-based relay selection algorithm,the proposed algorithm can reduce by at least 5% of the average energy of the data packet overhead,and reduced by at least 11.7%for average packet loss rate.
For the problem of the joint energy relay wireless sensor nodes optimal scheduling,a low energy wireless sensor network algorithm based on the scheduling of the relay state was proposed.The energy was saved by status scheduling for the relay node,according to the implementation of the task,active and dormant state were switched to reduce the node energy loss.Since the state of scheduling nodes first considered the effective time of the node to perform tasks,and it was based on the channel capacity to constrain the average number of channels transmission data bits,it not affected the efficiency and stability of data dissemination network when minimized the node energy expenditure.Simulation results show that,compared to the saving relay selection algorithm and energy aware-based relay selection algorithm,the proposed algorithm can reduce by at least 5% of the average energy of the data packet overhead,and reduced by at least 11.7%for average packet loss rate.
引文
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[2]Qi Xiaogang,Wei Peng,Liu Lifang,et al.Wireless sensor networks energy effectively distributed target detection[J].International Journal of Distributed Sensor Networks,2014,58(1):561-563.
[3]Yao Y,Cao Q,Vasilakos AV.EDAL:An energy-efficient,delay-aware,and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks[J].IEEE/ACM Transactions on Networking,2015,23(3):810-823.
[4]Salarian H,Chin KW,Naghdy F.An energy-efficient mobilesink path selection strategy for wireless sensor networks[J].IEEE Transactions on Vehicular Technology,2014,63(5):2407-2419.
[5]Kasireddy AR,Roy DA,Ganti RK.Energy efficient outsider attacks on IEEE 802.15.4beacon enabled wireless sensor networks[C]//12th National Conference on Communications(NCC),IEEE,2014:1-6.
[6]Gupta SK,Kuila P,Jana PK.GAR:An energy efficient GAbased routing for wireless sensor networks[G].LNCS 7753:Distributed Computing and Internet Technology.Springer Berlin Heidelberg,2013:267-277.
[7]Sheng Z,Fan J,Liu CH,et al.Energy-efficient relay selection for cooperative relaying in wireless multimedia networks[J].IEEE Transactions on Vehicular Technology,2015,64(3):1156-1170.
[8]Zheleva M,Lee HJ.Power-aware relay selection and routing scheme for multi-interface sensor networks[J].International Journal of Computers Communications&Control,2015,10(3):441-451.
[9]Cheng Y,Yang L.Joint relay ordering and linear finite field network coding for multiple-source multiple-relay wireless sensor networks[J].International Journal of Distributed Sensor Networks,2013,24(3):485-503.
[10]Luo J,Hu J,Wu D,et al.Opportunistic routing algorithm for relay node selection in wireless sensor networks[J].IEEE Transactions on Industrial Informatics,2015,11(1):112-121.