×

Dynamics of the congestion control model in underwater wireless sensor networks with time delay. (English) Zbl 1372.90021

Summary: In this paper, a congestion control model in underwater wireless sensor network with time delay is considered. First, the boundedness of the positive equilibrium, where the samples density is positive for each node and the different event flows coexist, is investigated, which implies that the samples density of sensor node cannot exceed the Environmental carrying capacity. Then, by considering the time delay can be regarded as a bifurcating parameter, the dynamical behaviors, which include local stability and Hopf bifurcation, are investigated. It is found that when the communication time delay passes a critical value, the system loses its stability and a Hopf bifurcation occurs, which means the underwater wireless sensor network will be congested, even collapsed. Furthermore, the direction and stability of the bifurcating periodic solutions are derived by applying the normal form theory and the center manifold theorem. Finally, some numerical examples are finally performed to verify the theoretical results.

MSC:

90B10 Deterministic network models in operations research
34C23 Bifurcation theory for ordinary differential equations
37M05 Simulation of dynamical systems
Full Text: DOI

References:

[1] Low, S.; Paganini, F.; Wang, J.; Doyle, J., Linear stability of TCP/RED and a scalable control, Comput Netw, 34, 633-647 (2003) · Zbl 1078.68542
[2] Misra, V.; Gong, W. B.; Towsley, D., Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED, Comput Commun Rev, 30, 151-160 (2000)
[3] Zhang, S.; Xu, J.; Chung, K., On the stability and multi-stability of a TCP/RED congestion control model with state-dependent delay and discontinuous marking function, Commun Nonlinear Sci Numer Simul, 22, 269-284 (2015)
[4] Wang, Z.; Zeng, X.; Liu, X.; Xu, M.; Wen, Y.; Chen, L., TCP congestion control algorithm for heterogeneous Internet, J Netw Comput Appl, 68, 56-64 (2016)
[5] Du, S.; Guo, C.; Jin, M., Agent-based simulation on tourists’ congestion control during peak travel period using Logit model, Chaos Solitons Fractals, 89, 187-194 (2016) · Zbl 1360.90086
[6] Qiu, B.; Chen, X.; Wu, Q., A key design to prolong lifetime of wireless sensor network, Chaos Solitons Fractals, 89, 491-496 (2016) · Zbl 1360.90058
[7] Liu, Y.; Wang, R., Study on network traffic forecast model of SVR optimized by GAFSA, Chaos Solitons Fractals, 89, 153-159 (2016) · Zbl 1360.62470
[8] Yang, H.; Xia, Y.; Shi, P., Stabilization of networked control systems with nonuniform random sampling periods, Int J Robust Nonlinear Control, 21, 5, 501-526 (2011) · Zbl 1214.93093
[9] Xia, Y.; Li, L.; Liu, G.; Shi, P., H-infinity predictive control of networked control systems, Int J Control, 84, 6, 1080-1097 (2011) · Zbl 1245.93138
[10] Ou, Chia-Ho, Data delivery with mobility control in sparse wireless sensor networks, Int J Innovative Comput Inf Control, 7, 4, 1621-1638 (2011)
[11] Hsieh, H.; Leu, J.; Shih, W., Reaching consensus underlying an autonomous local wireless sensor network, Int J Innovative Comput Inf Control, 6, 4, 1905-1914 (2010)
[12] Nabhan, H.; David, M.; Michael, D.; Peter, C., Weighted RED (WTRED) strategy for TCP congestion control, Commun Comput Inf Sci, 252, 421-434 (2011), CCIS (PART 2)
[13] Zheng, Y.; Wang, Z.; Stability and, Hopf bifurcation of a class of TCP/AQM networks, Nonlinear Anal, 11, 1552-1559 (2011) · Zbl 1188.93098
[14] Ding, D.; Qin, X.; Wu, T.; Wang, N.; Liang, D., Hopf bifurcation control of congestion control model in a wireless access network, Neurocomputing, 144, 159-168 (2014)
[15] Wang, X., Controlling bifurcation and chaos in Internet congestion control system, (Proceedings of the 4th world congress on intelligent control and automation. Proceedings of the 4th world congress on intelligent control and automation, Shanghai, China (2002)), 573-578
[16] Veres, A.; Boda, M., The chaotic nature of TCP congestion control, (Proceedings of IEEE INFOCOM. Proceedings of IEEE INFOCOM, Tel, Aviv (2000)), 1715-1723
[17] Guo, S. T.; Zheng, H. Y.; Liu, Q., Hopf bifurcation analysis for congestion control with heterogeneous delays, Nonlinear Anal, 11, 1552-1559 (2011)
[18] Dong, T.; Liao, X.; Huang, T., Dynamics of a congestion control model in a wireless access network, Nonlinear Anal, 14, 671-683 (2013) · Zbl 1254.93073
[19] Pei, L. J.; Mu, X. W.; Wang, R. M.; Yang, J. P., Dynamics of the internet TCP-RED congestion control system, Nonlinear Anal, 12, 947-955 (2011) · Zbl 1220.68029
[20] Liu, F.; Guan, Z.; Wang, H., Stability and Hopf bifurcation analysis in a TCP fluid model, Nonlinear Anal, 12, 353-363 (2011) · Zbl 1208.34123
[21] Liu, F.; Wang, H.; Guan, Z., Hopf bifurcation control in the XCP for the internet congestion control systems, Nonlinear Anal, 13, 1466-1479 (2012) · Zbl 1239.34075
[22] Akyildiz, I. F.; Pompili, D.; Melodia, T., Underwater acoustic sensor networks: research challenges, Ad Hoc Netw, 12, 257-279 (2013)
[23] Domingo, M., Marine communities based congestion control in underwater wireless sensor networks, Inf Sci, 228, 203-221 (2013)
[24] Baumgartner, K.; Ferrari, S.; Rao, A., Optimal control of an underwater sensor network for cooperative target tracking, IEEE J Oceanic Eng, 34, 4 (2009)
[25] Li, H.; He, Y.; Cheng, X.; Zhu, H.; Sun, L., Security and privacy in localization for underwater sensor networks, IEEE Commun Mag, 53, 11, 56-62 (2015)
[26] Liu, L.; Liu, Y., On exploring data forwarding problem in opportunistic underwater sensor network using mobility-irregular vehicles, IEEE Trans Veh Technol, 64, 10, 4712-4727 (2015)
[27] Jiang, J.; Han, G.; Guo, H.; Shu, L.; Rodrigues, J., Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks, J Netw Comput Appl, 59, 4-13 (2016)
[28] Hassard, B.; Kazarinoff, N.; Wan, Y., Theory and applications of Hopf bifurcation (1981), Cambridge University Press · Zbl 0474.34002
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.