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Erschienen in: Wireless Personal Communications 2/2014

01.09.2014

Joint Channel Allocation and Power Control Optimal Algorithm Based on Non-cooperative Game in Wireless Sensor Networks

verfasst von: Xiao-Chen Hao, Qian-Qian Gong, Shuang Hou, Bin Liu

Erschienen in: Wireless Personal Communications | Ausgabe 2/2014

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Abstract

In order to reduce the wireless sensor network interference, and balance the network energy consumption, we have established a joint channel allocation and power control optimal game model. The model takes the network interference, and the residual energy of nodes as the parameters. What’s more, the model considers the independent and influencing relation between channel allocation and power control. In addition, we design a joint channel allocation and power control optimal algorithm based on non-cooperative game (JCAPGA), and then prove that JCAPGA converges to Nash equilibrium. Simulation results show that, JCAPGA has a good network performance of lower interference and uniform energy consumption.

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Literatur
1.
Zurück zum Zitat Qian, Z.-H., & Wang, Y.-J. (2013). Internet of things-oriented wireless sensor networks review. Journal of Electronics and Information Technology, 35(1), 215–227.CrossRef Qian, Z.-H., & Wang, Y.-J. (2013). Internet of things-oriented wireless sensor networks review. Journal of Electronics and Information Technology, 35(1), 215–227.CrossRef
2.
Zurück zum Zitat Kiepert, J., & Zoo, S. M. (2012). A unified wireless sensor network framework. In Proceedings of the 2012 IEEE international systems conference (pp. 69–74). BC, Canada: Vancouver. Kiepert, J., & Zoo, S. M. (2012). A unified wireless sensor network framework. In Proceedings of the 2012 IEEE international systems conference (pp. 69–74). BC, Canada: Vancouver.
3.
Zurück zum Zitat Yun-xiao, Z., Yi-fei, L., Shi-bo, M., et al. (2012). Power control algorithm based on SNR cost function in cognitive radio system. In Proceedings of the 2012 IEEE 18th international conference on parallel and distributed systems (ICPADS), Singapore, 2012 (pp. 913–917). Yun-xiao, Z., Yi-fei, L., Shi-bo, M., et al. (2012). Power control algorithm based on SNR cost function in cognitive radio system. In Proceedings of the 2012 IEEE 18th international conference on parallel and distributed systems (ICPADS), Singapore, 2012 (pp. 913–917).
4.
Zurück zum Zitat Elbatt, T., & Ephremides, A. (2004). Joint scheduling and power control for wireless ad hoc networks. IEEE Transactions on Wireless Communications, 3(1), 74–85.CrossRef Elbatt, T., & Ephremides, A. (2004). Joint scheduling and power control for wireless ad hoc networks. IEEE Transactions on Wireless Communications, 3(1), 74–85.CrossRef
5.
Zurück zum Zitat Chu, X.-Y., Sethu, H. (2012). Cooperative topology control with adaptation for improved lifetime in wireless ad hoc networks. In Proceedings of the IEEE international conference on computer communications (INFOCOM), Orlando, FL, 2012 (pp. 262–270). Chu, X.-Y., Sethu, H. (2012). Cooperative topology control with adaptation for improved lifetime in wireless ad hoc networks. In Proceedings of the IEEE international conference on computer communications (INFOCOM), Orlando, FL, 2012 (pp. 262–270).
6.
Zurück zum Zitat Dang, D. N., Hong, C. S. (2012). A SINR-based transmission power control for MAC protocol in wireless ad hoc networks. In Proceedings of the 4th international conference on communications and electronics (ICCE), Hue Royal City, Vietnam, 2012 (pp. 103–107). Dang, D. N., Hong, C. S. (2012). A SINR-based transmission power control for MAC protocol in wireless ad hoc networks. In Proceedings of the 4th international conference on communications and electronics (ICCE), Hue Royal City, Vietnam, 2012 (pp. 103–107).
7.
Zurück zum Zitat Kim, Y, Jung, D, Kim, Y. D., et al. (2012). Efficient interference-aware channel allocation in multi-radio wireless mesh networks. In Proceedings of the 14th international conference on advanced communication technology (ICACT), PyeongChang, 2012 (pp. 920–925). Kim, Y, Jung, D, Kim, Y. D., et al. (2012). Efficient interference-aware channel allocation in multi-radio wireless mesh networks. In Proceedings of the 14th international conference on advanced communication technology (ICACT), PyeongChang, 2012 (pp. 920–925).
8.
Zurück zum Zitat Yu, Q., Chen, J.-M., Fan, Y.-F., et al. (2010). Multi-channel assignment in wireless sensor networks: A game theoretic approach. In Proceedings of the IEEE international conference on computer communications (INFOCOM), San Diego, CA, 2010 (pp. 1–9). Yu, Q., Chen, J.-M., Fan, Y.-F., et al. (2010). Multi-channel assignment in wireless sensor networks: A game theoretic approach. In Proceedings of the IEEE international conference on computer communications (INFOCOM), San Diego, CA, 2010 (pp. 1–9).
9.
Zurück zum Zitat Tan, L. T., Le, L. B. (2012). Channel assignment for throughput maximization in congnitive radio networks. In Proceedings of the IEEE wireless communications and networking conference (WCNC), Paris, France, 2012 (pp. 1427–1431 Tan, L. T., Le, L. B. (2012). Channel assignment for throughput maximization in congnitive radio networks. In Proceedings of the IEEE wireless communications and networking conference (WCNC), Paris, France, 2012 (pp. 1427–1431
10.
Zurück zum Zitat Sun, W.-F., Fu, T., Xia, F., et al. (2012). A dynamic channel assignment strategy based on cross-layer design for wireless mesh metworks. International Journal of Communication Systems, 25(9), 1122–1138.CrossRef Sun, W.-F., Fu, T., Xia, F., et al. (2012). A dynamic channel assignment strategy based on cross-layer design for wireless mesh metworks. International Journal of Communication Systems, 25(9), 1122–1138.CrossRef
11.
Zurück zum Zitat Nie, N., & Comaniciu, C. (2006). Adaptive channel allocation spectrum etiquette for cognitive radio networks. Mobile Networks and Applications, 11(6), 779–797.CrossRef Nie, N., & Comaniciu, C. (2006). Adaptive channel allocation spectrum etiquette for cognitive radio networks. Mobile Networks and Applications, 11(6), 779–797.CrossRef
12.
Zurück zum Zitat Heo, S. J., Son, D. C., Kim, C. S. (2012). A mobile channel allocation scheme for avoiding channel interference. In Proceedings of the 6th international conference on soft computing and intelligent systems and 13th international symposium on advanced intelligence systems (SCIS/ISIS), Kobe, Japan, 2012 pp. 2053–2055. Heo, S. J., Son, D. C., Kim, C. S. (2012). A mobile channel allocation scheme for avoiding channel interference. In Proceedings of the 6th international conference on soft computing and intelligent systems and 13th international symposium on advanced intelligence systems (SCIS/ISIS), Kobe, Japan, 2012 pp. 2053–2055.
13.
Zurück zum Zitat Song, Y., Zhang, C., & Fang, Y.-G. (2008). Joint channel and power allocation in wireless mesh networks: a game theoretical perspective. IEEE Journal on Selected Areas in Communication, 26(7), 1149–1159.CrossRef Song, Y., Zhang, C., & Fang, Y.-G. (2008). Joint channel and power allocation in wireless mesh networks: a game theoretical perspective. IEEE Journal on Selected Areas in Communication, 26(7), 1149–1159.CrossRef
14.
Zurück zum Zitat Xin, H., Feng, H.-L., Ke, F., & Zhuang, H.-C. (2011). Jointly channel assignment and power allocation algorithm based on utility optimization for wireless mesh networks. Journal of Electronics and Information Technology., 33(11), 2600–2604.CrossRef Xin, H., Feng, H.-L., Ke, F., & Zhuang, H.-C. (2011). Jointly channel assignment and power allocation algorithm based on utility optimization for wireless mesh networks. Journal of Electronics and Information Technology., 33(11), 2600–2604.CrossRef
15.
Zurück zum Zitat Chen, X., Zhang, C.-Y., & Luo, H.-Y. (2009). Joint optimization of power control, channel assignment and scheduling in wireless mesh network. Journal of Zhejiang University (Engineering Science), 43(8), 1406–1411. 1472. Chen, X., Zhang, C.-Y., & Luo, H.-Y. (2009). Joint optimization of power control, channel assignment and scheduling in wireless mesh network. Journal of Zhejiang University (Engineering Science), 43(8), 1406–1411. 1472.
16.
Zurück zum Zitat Zheng, G.-Z., Liu, S.-Y., & Qi, X.-G. (2011). Study on power control of wireless sensor networks based on non-cooperative game. Control and Decision, 26(7), 1014–1018.MathSciNet Zheng, G.-Z., Liu, S.-Y., & Qi, X.-G. (2011). Study on power control of wireless sensor networks based on non-cooperative game. Control and Decision, 26(7), 1014–1018.MathSciNet
17.
Zurück zum Zitat Li, P.-Y., He, Z.-F., & Lin, G.-H. (2013). Sampling average approximation method for a class of stochastic nash equilibrium problems. Optimization Methods and Software, 28(4), 785–795.CrossRefMATHMathSciNet Li, P.-Y., He, Z.-F., & Lin, G.-H. (2013). Sampling average approximation method for a class of stochastic nash equilibrium problems. Optimization Methods and Software, 28(4), 785–795.CrossRefMATHMathSciNet
18.
Zurück zum Zitat Beaude, O., Lasaulce, S., Hennebel, M. (2012). Charging games in networks of electrical vehicles. In Proceedings of the 6th International Conference on Network Games, Control and Optimization (NetGCoop), Avignon, France, 2012 (pp. 96–103). Beaude, O., Lasaulce, S., Hennebel, M. (2012). Charging games in networks of electrical vehicles. In Proceedings of the 6th International Conference on Network Games, Control and Optimization (NetGCoop), Avignon, France, 2012 (pp. 96–103).
19.
Zurück zum Zitat Fanelli, A., Moscardelli, L., Skopalik, A. (2012). On the impact of fair best response dynamics. In Proceedings of the 37th international symposium on mathematical foundations of computer science (MFCS), Bratislava, Slovakia, 2012, (pp. 360–371). Fanelli, A., Moscardelli, L., Skopalik, A. (2012). On the impact of fair best response dynamics. In Proceedings of the 37th international symposium on mathematical foundations of computer science (MFCS), Bratislava, Slovakia, 2012, (pp. 360–371).
Metadaten
Titel
Joint Channel Allocation and Power Control Optimal Algorithm Based on Non-cooperative Game in Wireless Sensor Networks
verfasst von
Xiao-Chen Hao
Qian-Qian Gong
Shuang Hou
Bin Liu
Publikationsdatum
01.09.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1800-5

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