Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 305-308.

• Network & Communication • Previous Articles     Next Articles

Three-dimensional Geographic Opportunistic Routing Based on Energy Harvesting Wireless Sensor Networks

WANG Chen-yang, LIN Hui   

  1. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: Using energy harvesting technology,the nodes in wireless sensor networks can gain energy from the environment,and keep working for a long time with a small battery capacity.Considering the WSNs mostly deployed in three-dimensional space in practical applications,based on the study of traditional geographic routing protocols,this paper proposed a three-dimensional geographic opportunistic routing algorithm for energy harvesting wireless sensor networks.First,the algorithm divides the space into cubes,and chooses an appropriate cube as next forward region.The nodes in the region calculate the back off time according to the residual energy and delivery rate.The node with shortest back off time becomes the transmission node.The simulation result shows that this algorithm can improve the data delivery rate effectively,balance the energy consuming of the nodes,reduce the average packet delivery time and make the throughput better.

Key words: Energy harvesting, Geographic routing, Opportunistic routing, Three-dimensional

CLC Number: 

  • TN911.2
[1] KANSAL A,HSU J,ZAHEDI S,et al.Power management in energy harvesting sensor networks[J].ACM Transactions on Embedded Computing Systems,2007,6(4):32.
[2] BANDYOPADHYAY S,CHANDRAKASAN A P.Platform Architecture for Solar,Thermal,and Vibration Energy Combining With MPPT and Single Inductor[J].IEEE Journal of Solid-State Circuits,2012,47(9):2199-2215.
[3] ULUKUS S,YENER A,ERKIP E,et al.Energy Harvesting Wireless Communications:A Review of Recent Advances[J].IEEE Journal on Selected Areas in Communications,2015,33(3):360-381.
[4] BI S,ZENG Y,ZHANG R.Wireless powered communication networks:an overview[J].IEEE Wireless Communications,2016,23(2):10-18.
[5] KANSAL A,HSU J,SRIVASTAVA M,et al.Harvesting aware power management for sensor networks[C]∥Design Automation Conference,2006,ACM/IEEE.IEEE,2006:651-656.
[6] DONG Y,WANG J,SHIM B,et al.DEARER:A Distance-and-Energy-Aware Routing with Energy Reservation for Energy Harvesting Wireless Sensor Networks[J].IEEE Journal on Selected Areas in Communications,2016,34(12):3798-3813.
[7] KWON H,NOH D,KIM J,et al.Low-Latency Routing for Energy-Harvesting Sensor Networks[C]∥International Conference on Ubiquitous Intelligence and Computing.Springer-Verlag,2007:422-433.
[8] ZHI A E,TAN H P.Adaptive opportunistic routing protocol for energy harvesting wireless sensor networks[C]∥IEEE International Conference on Communications.IEEE,2012:318-322.
[9] 池凯凯,林一民,李燕君,等.能量捕获传感网中吞吐量最大化的占空比方案[J].计算机科学,2018,45(06):100-104.
[10] ABDALLAH A E,FEVENS T,OPATRNY J.High delivery rate position-based routing algorithms for 3D ad hoc networks[J].Computer Communications,2008,31(4):807-817.
[11] 柯涛,孙晖,刘俊延.基于三维胞元空间的无线传感器网络路由算法[J].电子与信息学报,2013,35(6):1298-1304.
[12] BISWAS S,MORRIS R.Opportunistic routing in multi-hop wireless networks[J].Microcomputer Information,2004,34(1):69-74.
[13] SPACHOS P,CHATZIMISIOS P,HATZINAKOS D,et al.Energy aware opportunistic routing in wireless sensor networks [C]∥IEEE Globecom Workshops.2012:405-409.
[14] 田贤忠,肖赟.一种能量捕获无线传感网络机会路由算法[J].计算机科学,2016,43(S1):288-290,327.
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