Technology of Network & Communication
|
3467-3471

Research on optimization of data collection efficiency assisted by mobile collector in wireless sensor network

Chen Qi
Chen Hongbin
School of Information & Communication, Guilin University of Electronic Technology, Guilin Guangxi 541004, China

Abstract

To improve the efficiency of data collection in wireless sensor network, this paper proposed a hybrid multi-hop data collection(HMDC) algorithm. This algorithm first divided all nodes into clusters evenly based on data volume. Then it did multi-hop data transmission by adopting the idea of hierarchical nodes within clusters. Finally, it used a mobile collector to access the cluster head nodes along the shortest path to collect the data of the designated node. Simulation results show that HMDC algorithm can effectively improve the efficiency of data collection, balance the energy consumption, prolong the network life cycle, and it is more suitable for large-scale data collection.

Foundation Support

国家自然科学基金资助项目(61671165)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0303
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Network & Communication
Pages: 3467-3471
Serial Number: 1001-3695(2020)11-054-3467-05

Publish History

[2020-11-05] Printed Article

Cite This Article

陈琪, 陈宏滨. 无线传感器网络中移动节点辅助的数据采集效率优化研究 [J]. 计算机应用研究, 2020, 37 (11): 3467-3471. (Chen Qi, Chen Hongbin. Research on optimization of data collection efficiency assisted by mobile collector in wireless sensor network [J]. Application Research of Computers, 2020, 37 (11): 3467-3471. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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