Please wait a minute...
Chin. Phys. B, 2018, Vol. 27(8): 080102    DOI: 10.1088/1674-1056/27/8/080102
GENERAL Prev   Next  

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
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.
Keywords:  wireless sensor network      power control      channel allocation      energy balance  
Received:  15 January 2018      Revised:  03 March 2018      Accepted manuscript online: 
PACS:  01.20.+x (Communication forms and techniques (written, oral, electronic, etc.))  
  02.50.Le (Decision theory and game theory)  
  05.65.+b (Self-organized systems)  
  88.05.Jk (Policy issues; resource assessment ?)  
Fund: 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).
Corresponding Authors:  Xiao-Chen Hao     E-mail:  haoxiaochen@ysu.edu.cn

Cite this article: 

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 2018 Chin. Phys. B 27 080102

[1] Huang J W and Feng J C 2014 Chin. Phys. B 23 070504
[2] Qiao J F, Liu S Y and Qi X G 2016 Jorunal of Xidian University 43 91
[3] Guo X, Leong A S and Dey S 2017 IEEE Transactions on Aerospace and Electronic Systems 53 544
[4] Liu H R, DongMR, Yin R R and Han L 2015 Chin. Phys. B 24 050506
[5] Shang Y L 2014 Phys. Rev. E 89 012813
[6] Li Y, Zhang F, Quevedo D E, Lau V, Dey S and Shi L 2017 IEEE Transactions on Automatic Control 62 277
[7] Yi X, Ying W and Jun P 2014 Proceedings of the 13th International Conference on Cognitive Informatics m & Cognitive Computing , August 18-20, 2014, London, UK, p. 386
[8] Khanmirza H and Yazdani N 2016 Wirel. Commun. Mob. Comput. 16 1457
[9] Chiti F, Fantacci R and Tani A 2016 IEEE Transactions on Vehicular Technology 99 1
[10] Saifullah A, Xu Y, Lu C and Chen Y 2014 IEEE Transactions on Parallel and Distributed Systems 25 2264
[11] Terzi C and Korpeoglu I 2016 Wirel. Commun. Mob. Comput. 16 1694
[12] Chen J, Yu Q, Cheng P, Sun Y X, Fan Y F and Shen X M 2011 IEEE Transactions on Automatic Control 56 2332
[13] Martinez D M and Andrade A G 2014 International Journal of Electronics 102 1177
[14] Chouikhi S, Korbi I El, Ghamri-Doudane Y and Saidane L A 2015 Proceedings of 2015 IEEE International Conference on Communications , June 8-12, 2015, London, UK, p. 6424
[15] Namboothiri P G and SivalingamY K M 2013 Wireless Network 19 461
[16] Hao X C, Wang M Q, Hou S, Gong Q Q and Liu B 2015 Wireless. Pers. Commun. 80 1557
[17] Gong D, Zhao M and Yang Y 2011 23rd International Teletraffic Congress (ITC) 222
[18] Hao X C, Zhang Y X and Liu B 2013 Wireless. Pers. Commun. 73 353
[19] Ali M A M A and Adimugasivasakthi D 2013 Proceedings of IEEE. International Conference on Emerging Trends in VLSI Embedded System, Nano Electronics and Telecommunication System (ICEVENT), January 7-9, 2013, Tiruvannamalai, India, p. 1
[20] Liu Y, Guo X L and Zhang X 2015 Telecommunications Science 10 100
[21] Wu C, Jiang H and You X J 2014 Acta Phys. Sin. 63 088801 (in Chinese)
[22] Hao X C, Ru X Y, Li X D and Xin M J 2016 Wireless Pers. Commun. 86 521
[23] Monderer D and Shapley L 1996 Game and Economic Behavior 14 124
[24] Li X L, Feng D and Peng P C 2015 Acta Phys. Sin. 65 028401
[25] Kim D 2001 IEEE Trans. Commun. 49 249
[1] Contact angle hysteresis in electrowetting on dielectric
Zhao Rui (赵瑞), Liu Qi-Chao (刘启超), Wang Ping (王评), Liang Zhong-Cheng (梁忠诚). Chin. Phys. B, 2015, 24(8): 086801.
[2] Cascading failure in the wireless sensor scale-free networks
Liu Hao-Ran (刘浩然), Dong Ming-Ru (董明如), Yin Rong-Rong (尹荣荣), Han Li (韩丽). Chin. Phys. B, 2015, 24(5): 050506.
[3] Fault-tolerant topology in the wireless sensor networks for energy depletion and random failure
Liu Bin (刘彬), Dong Ming-Ru (董明如), Yin Rong-Rong (尹荣荣), Yin Wen-Xiao (尹文晓). Chin. Phys. B, 2014, 23(7): 070510.
[4] Virus spreading in wireless sensor networks with a medium access control mechanism
Wang Ya-Qi (王亚奇), Yang Xiao-Yuan (杨晓元). Chin. Phys. B, 2013, 22(4): 040206.
[5] A random walk evolution model of wireless sensor networks and virus spreading
Wang Ya-Qi (王亚奇), Yang Xiao-Yuan (杨晓元). Chin. Phys. B, 2013, 22(1): 010509.
[6] A novel block encryption scheme based on chaos and an S-box for wireless sensor networks
Tong Xiao-Jun(佟晓筠), Wang Zhu(王翥), and Zuo Ke(左科) . Chin. Phys. B, 2012, 21(2): 020506.
[7] A target group tracking algorithm for wireless sensor network using azimuthal angle of arrival information
Zhang Chun (张淳), Fei Shu-Min (费树岷), Zhou Xing-Peng (周杏鹏). Chin. Phys. B, 2012, 21(12): 120101.
No Suggested Reading articles found!