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ZTE Communications ›› 2015, Vol. 13 ›› Issue (3): 51-56.DOI: 10.3969/j.issn.1673-5188.2015.03.008

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An Improved Wireless Sensor Network Routing Algorithm

Shengmei Luo1, Xue Li2, Yiai Jin1, Zhixin Sun2   

  1. 1. ZTE Corporation, Shenzhen 518057, China;
    2. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • 收稿日期:2015-04-02 出版日期:2015-09-25 发布日期:2015-09-25
  • 作者简介:Shengmei Luo (luo.shengmei@zte.com.cn) received his master degree in communication and electronics from Harbin Instituted of Technology in 1996. He is the chief architect of the Cloud Computing and IT Institute of ZTE Corporation. His research interests include cloud computing, network storage, and big data.
    Xue Li (lixue7168@163.com) is a graduate student in computer software and theory at Nanjing University of Posts and Telecommunications. Her research direction is software application technology based on computer networks.
    Yiai Jin (jin.yiai@zte.com.cn) received his master degree in computer science from Jilin University in 2005. He is a senior engineer of ZTE Corporation. His research interests include cloud computing and security.
    Zhixin Sun (sunzx@njupt.edu.cn) received his PhD degree in aeronautics and astronautics manufacturing engineering from the Nanjing University of Aeronautics and Astronautics in 1998. He is a doctoral supervisor at Nanjing University of Posts and Telecommunications. His research interests include computer application and network safety, multimedia communications, and Internet of Things.
  • 基金资助:
    This work is supported by the National Natural Science Foundation of China under Grant Nos. 61373135, 60973140, and 61170276, Key University Science Research Project of Jiangsu Province under Grant No. 12KJA520003, Project for Production Study & Research of Jiangsu Province under Grant No. BY2013011, and The Science and Technology Enterprises Innovation Fund Project of Jiangsu Province under Grant No. BC2013027.

An Improved Wireless Sensor Network Routing Algorithm

Shengmei Luo1, Xue Li2, Yiai Jin1, Zhixin Sun2   

  1. 1. ZTE Corporation, Shenzhen 518057, China;
    2. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2015-04-02 Online:2015-09-25 Published:2015-09-25
  • About author:Shengmei Luo (luo.shengmei@zte.com.cn) received his master degree in communication and electronics from Harbin Instituted of Technology in 1996. He is the chief architect of the Cloud Computing and IT Institute of ZTE Corporation. His research interests include cloud computing, network storage, and big data.
    Xue Li (lixue7168@163.com) is a graduate student in computer software and theory at Nanjing University of Posts and Telecommunications. Her research direction is software application technology based on computer networks.
    Yiai Jin (jin.yiai@zte.com.cn) received his master degree in computer science from Jilin University in 2005. He is a senior engineer of ZTE Corporation. His research interests include cloud computing and security.
    Zhixin Sun (sunzx@njupt.edu.cn) received his PhD degree in aeronautics and astronautics manufacturing engineering from the Nanjing University of Aeronautics and Astronautics in 1998. He is a doctoral supervisor at Nanjing University of Posts and Telecommunications. His research interests include computer application and network safety, multimedia communications, and Internet of Things.
  • Supported by:
    This work is supported by the National Natural Science Foundation of China under Grant Nos. 61373135, 60973140, and 61170276, Key University Science Research Project of Jiangsu Province under Grant No. 12KJA520003, Project for Production Study & Research of Jiangsu Province under Grant No. BY2013011, and The Science and Technology Enterprises Innovation Fund Project of Jiangsu Province under Grant No. BC2013027.

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摘要： High performance with low power consumption is an essential factor in wireless sensor networks (WSN). In order to address the issue on the lifetime and the consumption of nodes in WSNs, an improved ad hoc on-demand distance vector routing (IAODV) algorithm is proposed based on AODV and LAR protocols. This algorithm is a modified on-demand routing algorithm that limits data forwarding in the searching domain, and then chooses the route on basis of hop count and power consumption. The simulation results show that the algorithm can effectively reduce power consumption as well as prolong the network lifetime.

关键词: wireless sensor network, low power consumption, lifetime, AODV, LAR

Abstract: High performance with low power consumption is an essential factor in wireless sensor networks (WSN). In order to address the issue on the lifetime and the consumption of nodes in WSNs, an improved ad hoc on-demand distance vector routing (IAODV) algorithm is proposed based on AODV and LAR protocols. This algorithm is a modified on-demand routing algorithm that limits data forwarding in the searching domain, and then chooses the route on basis of hop count and power consumption. The simulation results show that the algorithm can effectively reduce power consumption as well as prolong the network lifetime.

Key words: wireless sensor network, low power consumption, lifetime, AODV, LAR