Energy balance routing algorithm based on forward-aware for wireless sensor networks

被引：0
|
作者：
Liu S.-Y. [1 ]
Zheng Y.-L. [1 ]
Bai Y.-G. [1 ]
机构：
[1] School of Mathematics and Statics, Xidian University, Xi'an
来源：
Kongzhi yu Juece/Control and Decision | 2019年 / 34卷 / 07期
关键词：
Energy balance; LEACH algorithm; Network lifetime; Pre-regional aware; Return information; Wireless sensor networks;
D O I：
10.13195/j.kzyjc.2017.1700
中图分类号：
学科分类号：
摘要：
How to improve the lifetime of wireless sensor networks has become a hot issue in network industrialization. The return of information(i.e., the invalid transmission of information) is an important source of energy waste, and severely curbs the extension of network lifetime. For the problem of energy loss and imbalanced energy consumption in the classical LEACH protocol, a novel energy-balanced routing method named FA-LEACH based on forward-aware mechanism is proposed. This algorithm eliminates the effect of dead nodes and establishes the cluster head candidate set with residual energy. Based on the position and direction information of the cluster head node, the algorithm introduces the concept of pre-sensing area, establishes the index for evaluating the importance of nodes, and selects the relay nodes(i.e, sub-cluster head nodes) attached to the cluster head nodes. Through the selective transmission of information from the subcluster head nodes, the information backhaul problem is effectively solved. Simulation results show that the proposed algorithm is superior to LEACH, LEACH-C, and EEUC in the terms of network lifetime and energy balance. The routing protocol can effectively enhance the practicality and application of the networks. © 2019, Editorial Office of Control and Decision. All right reserved.
引用
收藏
页码：1425 / 1432
页数：7
相关论文
共 15 条
  • [1] Sun L.M., Li J.Z., Chen Y., Wireless Sensor Networks, pp. 3-24, (2005)
  • [2] Liu S.Y., Hu Y.J., Zhang Z.H., Improved DV-Hop localization method based on RSSI, Control and Decision, 32, 10, pp. 1900-1904, (2017)
  • [3] Lang C., Xiang M., Wireless Sensor Network: Routing Protocol and Data Management, pp. 16-32, (2013)
  • [4] Luo X.Y., Li H., Wang J.R., A three-layer hierarchical architecture for topology optimization clustering of wireless sensor networks, Control and Decision, 31, 6, pp. 1099-1104, (2016)
  • [5] Heinzelman W.B., Chandrakasan A.P., Balakrishnan H., An application-specific protocol architecture for wireless micro sensor networks, IEEE Trans on Wireless Communications, 1, 4, pp. 660-670, (2002)
  • [6] Tripathi M., Battula R.B., Gaur M.S., Et al., Energy efficient clustered routing for wireless sensor network, 2013 IEEE 9th Int Conf on Mobile Ad-hoc and Sensor Networks, pp. 330-335, (2013)
  • [7] Lu Y., Liu X.W., Li M., Study on energy-saving routing algorithm based on wireless sensor network, J of Computers, 28, 4, pp. 227-235, (2017)
  • [8] Jerbi W., Guermazi A., Trabelsi H., O-leach of routing protocol for wireless sensor network, The 13th Int Conf on Computer Graphics, Imaging and Visualization (CGIV), pp. 399-404, (2016)
  • [9] Bi X.J., Diao P.F., Routing and clustering algorithm heterogeneous wireless sensor networks based on gravitational search algorithm, Control and Decision, 32, 3, pp. 563-569, (2016)
  • [10] Zhong Z., Luo D.Y., Liu S.Q., Energy-balanced clustering routing protocol in wireless sensor networks with a mobile sink, Control and Decision, 27, 8, pp. 1211-1215, (2012)
12