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Erschienen in: The Journal of Supercomputing 7/2016

01.07.2016

Calculation and simulation of transient optimal voltage output point in wireless sensor networks

verfasst von: Chengxi Gu, G. U. Caidong, Fan Ling

Erschienen in: The Journal of Supercomputing | Ausgabe 7/2016

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Abstract

For production of transient voltage output in wireless sensor network, due to the instability of the control voltage, the traditional control method needs to introduce the feedback control, through the establishment of mathematical model for periodic monitoring of the output voltage, change control strategy once the problem is found, lead to slow control time computation, cannot obtain the optimal output voltage values. A new method for calculating transient optimal voltage output points in sensor network of two-phase rotating and stationary coordinates is proposed. Through the analysis of the mathematical model of the network transient, the repetitive controller is designed on the two axes. By calculating the mean value of maximum and minimum value of the voltage, the transient energy-saving voltage output of the sensor network is monitored in real time. The control process of output voltage quality of sensor network with nonlinear load is analyzed, and the feed forward control method of parameter on line control is put forward. Under the premise to meet the control accuracy, enhance the response speed and stability of voltage output control of sensor networks. Simulation results showed that the method presented in this paper improves the poor effect of traditional methods, solves the complex problems of network energy-saving voltage control, and control effect of energy-saving voltage output is great, and the optimal voltage output values is obtained.

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Literatur
1.
Zurück zum Zitat Ren Z, Peng S, Chen H, Fang J, Chen Q (2013) Epidemic routing based on adaptive compression of vectors: efficient low-delay routing for opportunistic networks based on adaptive compression of vectors. Int J Commun Syst 28:560–573CrossRef Ren Z, Peng S, Chen H, Fang J, Chen Q (2013) Epidemic routing based on adaptive compression of vectors: efficient low-delay routing for opportunistic networks based on adaptive compression of vectors. Int J Commun Syst 28:560–573CrossRef
2.
Zurück zum Zitat Hiertz GR, Denteneer D, Max S, Taori R, Cardona J, Berlemann L, Walke B (2010) IEEE 802.11s: the WLAN mesh standard. Wirel Commun IEEE 17(1):104–111CrossRef Hiertz GR, Denteneer D, Max S, Taori R, Cardona J, Berlemann L, Walke B (2010) IEEE 802.11s: the WLAN mesh standard. Wirel Commun IEEE 17(1):104–111CrossRef
3.
Zurück zum Zitat Hao J (2015) Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks. HCIS 5:226–228 Hao J (2015) Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks. HCIS 5:226–228
4.
Zurück zum Zitat Manhas Jr EB, Brante G, Souza RD, Pellenz ME (2012) Energy-efficient cooperative image transmission over wireless sensor networks. In: Proceedings of 2012 IEEE wireless communications and networking conference (WCNC), pp 2014–2019 Manhas Jr EB, Brante G, Souza RD, Pellenz ME (2012) Energy-efficient cooperative image transmission over wireless sensor networks. In: Proceedings of 2012 IEEE wireless communications and networking conference (WCNC), pp 2014–2019
5.
Zurück zum Zitat Ngau CWH, Ang L-M, Seng KP (2012) Low memory visual saliency architecture for data reduction in wireless sensor networks. IET Wirel Sensor Syst 2(2):115–127CrossRef Ngau CWH, Ang L-M, Seng KP (2012) Low memory visual saliency architecture for data reduction in wireless sensor networks. IET Wirel Sensor Syst 2(2):115–127CrossRef
6.
Zurück zum Zitat Lecuire V, Duran-Faundez C, Krommenacker N (2008) Energy-efficient image transmission in sensor networks. Int J Sensor Netw 4(1–2):37–47CrossRef Lecuire V, Duran-Faundez C, Krommenacker N (2008) Energy-efficient image transmission in sensor networks. Int J Sensor Netw 4(1–2):37–47CrossRef
7.
Zurück zum Zitat Muhammad Imran Razzak SA, Hussain AA, Minhas MS (2010) Collaborative image compression in wireless sensor networks. Int J Comput Cogn 8(1):24–29 Muhammad Imran Razzak SA, Hussain AA, Minhas MS (2010) Collaborative image compression in wireless sensor networks. Int J Comput Cogn 8(1):24–29
8.
Zurück zum Zitat Lu Q, Luo W, Wang J, Chen B (2008) Low-complexity and energy efficient image compression scheme for wireless sensor networks. Comput Netw 52(13):2594–2603CrossRefMATH Lu Q, Luo W, Wang J, Chen B (2008) Low-complexity and energy efficient image compression scheme for wireless sensor networks. Comput Netw 52(13):2594–2603CrossRefMATH
9.
Zurück zum Zitat Carrano RC, Magalhaes LCS, Saade DCM, Albuquerque CVN (2011) IEEE 802.11s Multihop MAC: a tutorial. Commun Surv Tutor IEEE 13(1):52–67CrossRef Carrano RC, Magalhaes LCS, Saade DCM, Albuquerque CVN (2011) IEEE 802.11s Multihop MAC: a tutorial. Commun Surv Tutor IEEE 13(1):52–67CrossRef
10.
Zurück zum Zitat Liu X, Huang L, Li J, Wang Z, Zhao D, Zhu M (2012) Image transmission over ZigBee-based wireless sensor networks. Sensors Lett 10(1–2):205–212(8)CrossRef Liu X, Huang L, Li J, Wang Z, Zhao D, Zhu M (2012) Image transmission over ZigBee-based wireless sensor networks. Sensors Lett 10(1–2):205–212(8)CrossRef
11.
Zurück zum Zitat Pham DM, Aziz SM (2013) Object extraction scheme and protocol for energy efficient image communication over wireless sensor networks. Comput Netw 57(15):2949–2960CrossRef Pham DM, Aziz SM (2013) Object extraction scheme and protocol for energy efficient image communication over wireless sensor networks. Comput Netw 57(15):2949–2960CrossRef
12.
Zurück zum Zitat Aziz SM, Pham DM (2013) Energy efficient image transmission in wireless multimedia sensor networks. IEEE Commun Lett 17(6):1084–1087CrossRef Aziz SM, Pham DM (2013) Energy efficient image transmission in wireless multimedia sensor networks. IEEE Commun Lett 17(6):1084–1087CrossRef
13.
Zurück zum Zitat Viegas CMD, Sampaio S, Vasques F, Portugal P, Souto P (2012) 9th IEEE international workshop on factory communication systems (WFCS). Assessment of the interference caused by uncontrolled traffic sources upon real-time communication in IEEE 802.11-based mesh networks, pp 59–62 Viegas CMD, Sampaio S, Vasques F, Portugal P, Souto P (2012) 9th IEEE international workshop on factory communication systems (WFCS). Assessment of the interference caused by uncontrolled traffic sources upon real-time communication in IEEE 802.11-based mesh networks, pp 59–62
14.
Zurück zum Zitat Irgan K, Ünsalan C, Baydere S (2014) Low-cost prioritization of image blocks in wireless sensor networks for border surveillance. J Netw Comput Appl 38:54–64CrossRefMATH Irgan K, Ünsalan C, Baydere S (2014) Low-cost prioritization of image blocks in wireless sensor networks for border surveillance. J Netw Comput Appl 38:54–64CrossRefMATH
15.
Zurück zum Zitat Nikolakopoulos G, Kandris D, Tzes A (2010) Adaptive compression of slowly varying images transmitted over wireless sensor networks. Sensors 10(8):7170–7191CrossRef Nikolakopoulos G, Kandris D, Tzes A (2010) Adaptive compression of slowly varying images transmitted over wireless sensor networks. Sensors 10(8):7170–7191CrossRef
16.
Zurück zum Zitat Liu L, Song Y, Zhang H, Ma H, Vasilakos AV (2015) Physarum optimization: a biology-inspired algorithm for the Steiner tree problem in networks. IEEE Trans Comput 64(3):818–831MathSciNetCrossRef Liu L, Song Y, Zhang H, Ma H, Vasilakos AV (2015) Physarum optimization: a biology-inspired algorithm for the Steiner tree problem in networks. IEEE Trans Comput 64(3):818–831MathSciNetCrossRef
17.
Zurück zum Zitat Kaddachi ML, Soudani A, Lecuire V, Torki K, Makkaoui L, Moureaux JM (2012) Low power hardware-based image compression solution for wireless camera sensor networks. Comp. 10.1186/s13638-015-0458-3 Moureaux Low power hardware-based image compression solution for wireless camera sensor networks. Comp Stand Interfaces 34(1):14–23 Kaddachi ML, Soudani A, Lecuire V, Torki K, Makkaoui L, Moureaux JM (2012) Low power hardware-based image compression solution for wireless camera sensor networks. Comp. 10.1186/s13638-015-0458-3 Moureaux Low power hardware-based image compression solution for wireless camera sensor networks. Comp Stand Interfaces 34(1):14–23
18.
Zurück zum Zitat Zhang XM, Zhang Y, Yan F, Vasilakos AV (2015) Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Trans Mob Comput 14(4):742–754CrossRef Zhang XM, Zhang Y, Yan F, Vasilakos AV (2015) Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Trans Mob Comput 14(4):742–754CrossRef
19.
Zurück zum Zitat Duarte PBF, Fadlullah ZM, Vasilakos AV, Kato N (2012) On the partially overlapped channel assignment on wireless mesh network backbone: a game theoretic approach. IEEE J Sel Areas Commun 30(1):119–127CrossRef Duarte PBF, Fadlullah ZM, Vasilakos AV, Kato N (2012) On the partially overlapped channel assignment on wireless mesh network backbone: a game theoretic approach. IEEE J Sel Areas Commun 30(1):119–127CrossRef
20.
Zurück zum Zitat Imran N, Seet BC, Fong ACM (2015) Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures. HCIS 4:513–515 Imran N, Seet BC, Fong ACM (2015) Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures. HCIS 4:513–515
21.
Zurück zum Zitat Elamin A, Jeoti V, Belhouari S (2012) Wireless video sensor networks: advances in distributed video coding. In: Ang L, Seng KP (eds) Visual information processing in wireless sensor networks: technology, trends and applications. IGI Global, Hershey, pp 40–58CrossRef Elamin A, Jeoti V, Belhouari S (2012) Wireless video sensor networks: advances in distributed video coding. In: Ang L, Seng KP (eds) Visual information processing in wireless sensor networks: technology, trends and applications. IGI Global, Hershey, pp 40–58CrossRef
22.
Zurück zum Zitat Imran N, Seet BC, Fong ACM (2012) A comparative analysis of video codecs for multihop wireless video sensor networks. Multimed Syst 18(5):373–389CrossRef Imran N, Seet BC, Fong ACM (2012) A comparative analysis of video codecs for multihop wireless video sensor networks. Multimed Syst 18(5):373–389CrossRef
23.
Zurück zum Zitat Liang CJM (2011) Interference characterization and mitigation in large-scale wireless sensor networks. Dissertation, John Hopkins University, Liang CJM (2011) Interference characterization and mitigation in large-scale wireless sensor networks. Dissertation, John Hopkins University,
24.
Zurück zum Zitat Magaiaa N, Hortab N, Nevesb R, Pereira PR, Correiaa M (2015) A multi-objective routing algorithm for wireless multimedia sensor networks. Appl Soft Comput 30:104–112CrossRef Magaiaa N, Hortab N, Nevesb R, Pereira PR, Correiaa M (2015) A multi-objective routing algorithm for wireless multimedia sensor networks. Appl Soft Comput 30:104–112CrossRef
25.
Zurück zum Zitat Liu S, Cheng X, Fu W et al (2014) Numeric characteristics of generalized M-set with its asymptote. Appl Math Comput 243:767–774MathSciNetMATH Liu S, Cheng X, Fu W et al (2014) Numeric characteristics of generalized M-set with its asymptote. Appl Math Comput 243:767–774MathSciNetMATH
27.
Zurück zum Zitat Liu S, Zhang Z, Qi L et al (2015) A fractal image encoding method based on statistical loss used in agricultural image compression. Multimed Tools Appl. doi:10.1007/s11042-014-2446-8 Liu S, Zhang Z, Qi L et al (2015) A fractal image encoding method based on statistical loss used in agricultural image compression. Multimed Tools Appl. doi:10.​1007/​s11042-014-2446-8
Metadaten
Titel
Calculation and simulation of transient optimal voltage output point in wireless sensor networks
verfasst von
Chengxi Gu
G. U. Caidong
Fan Ling
Publikationsdatum
01.07.2016
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 7/2016
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-015-1605-7

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