计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 119-124.doi: 10.11896/j.issn.1002-137X.2018.08.021
池凯凯, 魏欣晨, 林一民
CHI Kai-kai ,WEI Xin-chen, LIN Yi-min
摘要: 由于传统无线传感器网络更换传感器电池较为麻烦或不具可行性,其实际应用范围受到很大的限制。考虑具有射频能量捕获能力的无线传感器网络,已知能量源、节点、基站(即汇聚节点)的部署位置,研究如何安排各个节点的接入基站,在满足基站负载平衡约束的情况下最大化整个网络节点的总吞吐量。首先,建立能量捕获传感网的能量捕获模型和信息传输模型,并将该节点接入问题建模为0-1整数规划问题;然后,针对该问题提出一种复杂度较低的算法和一种复杂度略高的贪婪式算法。仿真结果表明,与低复杂度算法相比,贪婪式算法所得到的节点接入方案具有更高的网络总吞吐量,但其复杂度略高,因此可用于节点数目较少的场景,而低复杂度算法可用于节点数目较多的场景。
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[1]OZEL,TUTUNCUOGLU K,YANG J.Transmission with Ene-rgy Harvesting Nodes in Fading Wireless Channels:Optimal Policies[J].IEEE Journal on Selected Areas in Communications,2011,29(8):1732-1743. [2]LU X,WANG P,NIYATO D,et al.Wireless Networks WithRF Energy Harvesting:A Contemporary Survey[J].IEEE Communications Surveys & Tutorials,2015,17(2):757-789. [3]ZUNGERU A M,ANG L M,PRABAHARAN S,et al.Radio Frequency Energy Harvesting and Management for Wireless Sensor Networks[M].Green mobile devices and networks:Ene-rgy optimization and scavenging techniques,Boca Raton:CRC Press,2012:341-368. [4]NISHIMOTO H,KAWAHARA Y,ASAMI T.Prototype im-plementation of ambient RF energy harvesting wireless sensor networks[J].IEEE Sensors,2010,143(2):1282-1287. [5]HE S,CHEN J,JIANG F,et al.Energy provisioning in wireless rechargeable sensor networks [J].IEEE Transactions on Mobile Computing,2013,12(10):1931-1942. [6]FU L,CHENG P,GU Y,et al.Minimizing charging delay inwireless rechargeable sensor networks[C]∥IEEE Conference on Computer Communications (INFOCOM).IEEE,2013:2922-2930. [7]LI Y,FU L,CHEN M,et al.RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks [J].IEEE Communications Letters,2015,19(10):1802-1805. [8]BI S,ZHANG R.Placement Optimization of Energy and Information Access Points in Wireless Powered Communication Networks[J].IEEE Transactions on Wireless Communications,2015,15(3):2351-2364. [9]JU H,ZHANG R.Throughput Maximization in Wireless Po-wered Communication Networks[J].IEEE Transactions on Wireless Communications,2014,13(1):418-428. |
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