Adaptive sink-routing decision algorithm for minimum-energy consumption

被引：0
|
作者：
Sun Z. [1 ,2 ,3 ]
Lan L. [1 ,3 ]
Zeng C. [1 ,3 ]
Liao G. [1 ,3 ]
机构：
[1] National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an
[2] School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang
[3] Collaborative Innovation Center of Information Sensing, Xidian University, Xi'an
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2022年 / 49卷 / 02期
关键词：
Average delay; Minimum-energy consumption; Network energy; Sink routing; Wireless sensor networks;
D O I：
10.19665/j.issn1001-2400.2022.02.002
中图分类号：
学科分类号：
摘要：
During the data transmission in wireless sensing networks (WSNs), the data accumulation in the communication link will lead to frequent data collisions, which further consumes the network energy. To address this problem, we propose an adaptive sink-routing decision algorithm for minimum-energy consumption (ASD-MC). First, when the data fusion degree is between the maximum and minimum value, the aggregation gain is exploited to calculate the proportional relationship between the data fusion degree and node distance-related parameters. Then, we discuss the correlation among different nodes with three distance correlation coefficients. When multiple nodes do not conduct data fusion, the condition for the existence of data fusion degree is proved for the next-hop node. In addition, according to the functional relationship of data compression energy ratio, we consider the data compression and decompression process on the link both at the source node and at the sink node. Then the procedure for the calculation of the network energy consumption is provided. Based on the above analysis, we employ the energy conversion model to derive the necessary condition for the Euclidean distance between any two nodes. Furthermore, the procedure for the implementation of our proposed algorithm is also presented. Finally, simulation results show that, compared with existing algorithms, our proposed algorithm could reduce the network energy consumption and the average network delay by 10.29% and 12.57%, respectively, which verifies the effectiveness and validity of the ASD-MC algorithm. © 2022, The Editorial Board of Journal of Xidian University. All right reserved.
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页码：11 / 20
页数：9
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