Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network

doi:10.1088/1674-1056/27/8/080102

中国物理B ›› 2018, Vol. 27 ›› Issue (8): 80102-080102.doi: 10.1088/1674-1056/27/8/080102

Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network

Xiao-Chen Hao(郝晓辰), Jin-Shuo Liu(刘金硕), Li-Xia Xie(解力霞), Bai Chen(陈白), Ning Yao(姚宁)

School of Electrical Engineering, Yanshan University, Qinhuangdao, China

收稿日期:2018-01-15 修回日期:2018-03-03 出版日期:2018-08-05 发布日期:2018-08-05
通讯作者: Xiao-Chen Hao E-mail:haoxiaochen@ysu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 61403336), the Natural Science Foundation of Hebei Province, China (Grant Nos. F2015203342 and F2015203291), and the Independent Research Project Topics B Category for Young Teacher of Yanshan University, China (Grant No. 15LGB007).

Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network

Xiao-Chen Hao(郝晓辰), Jin-Shuo Liu(刘金硕), Li-Xia Xie(解力霞), Bai Chen(陈白), Ning Yao(姚宁)

School of Electrical Engineering, Yanshan University, Qinhuangdao, China

Received:2018-01-15 Revised:2018-03-03 Online:2018-08-05 Published:2018-08-05
Contact: Xiao-Chen Hao E-mail:haoxiaochen@ysu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 61403336), the Natural Science Foundation of Hebei Province, China (Grant Nos. F2015203342 and F2015203291), and the Independent Research Project Topics B Category for Young Teacher of Yanshan University, China (Grant No. 15LGB007).

摘要/Abstract

摘要： In a wireless sensor network (WSN), the energy of nodes is limited and cannot be charged. Hence, it is necessary to reduce energy consumption. Both the transmission power of nodes and the interference among nodes influence energy consumption. In this paper, we design a power control and channel allocation game model with low energy consumption (PCCAGM). This model contains transmission power, node interference, and residual energy. Besides, the interaction between power and channel is considered. The Nash equilibrium has been proved to exist. Based on this model, a power control and channel allocation optimization algorithm with low energy consumption (PCCAA) is proposed. Theoretical analysis shows that PCCAA can converge to the Pareto Optimal. Simulation results demonstrate that this algorithm can reduce transmission power and interference effectively. Therefore, this algorithm can reduce energy consumption and prolong the network lifetime.

关键词: wireless sensor network, power control, channel allocation, energy balance

Abstract: In a wireless sensor network (WSN), the energy of nodes is limited and cannot be charged. Hence, it is necessary to reduce energy consumption. Both the transmission power of nodes and the interference among nodes influence energy consumption. In this paper, we design a power control and channel allocation game model with low energy consumption (PCCAGM). This model contains transmission power, node interference, and residual energy. Besides, the interaction between power and channel is considered. The Nash equilibrium has been proved to exist. Based on this model, a power control and channel allocation optimization algorithm with low energy consumption (PCCAA) is proposed. Theoretical analysis shows that PCCAA can converge to the Pareto Optimal. Simulation results demonstrate that this algorithm can reduce transmission power and interference effectively. Therefore, this algorithm can reduce energy consumption and prolong the network lifetime.

Key words: wireless sensor network, power control, channel allocation, energy balance

中图分类号: (Communication forms and techniques (written, oral, electronic, etc.))

01.20.+x

02.50.Le (Decision theory and game theory) 05.65.+b (Self-organized systems) 88.05.Jk (Policy issues; resource assessment ?)

郝晓辰, 刘金硕, 解力霞, 陈白, 姚宁. Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network[J]. 中国物理B, 2018, 27(8): 80102-080102.

Xiao-Chen Hao(郝晓辰), Jin-Shuo Liu(刘金硕), Li-Xia Xie(解力霞), Bai Chen(陈白), Ning Yao(姚宁). Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network[J]. Chin. Phys. B, 2018, 27(8): 80102-080102.

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Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network

Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network

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