Skip to main content
Erschienen in: Wireless Networks 4/2019

03.01.2018

Minimization of delay and collision with cross cube spanning tree in wireless sensor networks

verfasst von: Jing Zhang, Li Xu, Pei-Wei Tsai, Zhiwei Lin

Erschienen in: Wireless Networks | Ausgabe 4/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The wireless sensor network (WSN) is a system containing the event detection and the data gathering abilities. The data gathering mechanism is the fundamental but important procedure in the WSN environment. The way of the data gathering majorly affects the efficiency of WSNs on retrieving data at the sink node. It is generally known that the clustering techniques are effective to reduce the energy consumption in the WSNs. However, the research on the packet collision and the transmission delay in the Cluster based routing algorithm still remains limited. The packet loss and the transmission delay will happen more often due to collision and as such it will have negative impact on the WSN performance. In addition, the transmission delay phenomenon in the WSN may cause the inefficient result in the data gathering process. Unfortunately, it is usually neglected in the existing literature. To overcome the drawback of transmission delay and collision, a cluster-based converge cast tree (CCCT) protocol is proposed in this paper. The core of this protocol is to construct a cross cube spanning tree topology control algorithm. The proposed protocol performance is analyzed theoretically, which demonstrate that the protocol is efficient in avoiding packet collision and reducing the transmission delay. Finally, the protocol is examined by the simulations. The simulation results indicate that the proposed CCCT structure and algorithms outperform the existing approaches significantly in the realistic WSN environment.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat Ashu, & Kaushik, R. (2015). Collision detection in WSN through pattern detection and neural network. International Journal for Technological Research in Engineering, 2(11), 2538–2541. Ashu, & Kaushik, R. (2015). Collision detection in WSN through pattern detection and neural network. International Journal for Technological Research in Engineering, 2(11), 2538–2541.
3.
Zurück zum Zitat Santi, P. (2005). Topology control in wireless ad hoc and sensor networks. ACM Computing Surveys, 37(2), 164–194.MathSciNetCrossRef Santi, P. (2005). Topology control in wireless ad hoc and sensor networks. ACM Computing Surveys, 37(2), 164–194.MathSciNetCrossRef
4.
Zurück zum Zitat Xu, Y., Zeng, Z. R., & Ding, O. (2015). An energy efficient hole repair node scheduling algorithm for WSN. Wireless Networks, 23(1), 1–14.CrossRef Xu, Y., Zeng, Z. R., & Ding, O. (2015). An energy efficient hole repair node scheduling algorithm for WSN. Wireless Networks, 23(1), 1–14.CrossRef
5.
Zurück zum Zitat He, J., Ji, S., Pan, Y., & Li, Y. (2014). Constructing load-balanced data aggregation trees in probabilistic wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 25(7), 1681–1690.CrossRef He, J., Ji, S., Pan, Y., & Li, Y. (2014). Constructing load-balanced data aggregation trees in probabilistic wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 25(7), 1681–1690.CrossRef
6.
Zurück zum Zitat Marappan, P., & Rodrigues, P. (2016). An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22(4), 1–9.CrossRef Marappan, P., & Rodrigues, P. (2016). An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22(4), 1–9.CrossRef
7.
Zurück zum Zitat Zhao, Y., Wu, J., Li, F., & Lu, S. (2012). On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling. IEEE Transactions on Parallel and Distributed Systems, 23(8), 1528–1535.CrossRef Zhao, Y., Wu, J., Li, F., & Lu, S. (2012). On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling. IEEE Transactions on Parallel and Distributed Systems, 23(8), 1528–1535.CrossRef
8.
Zurück zum Zitat Zhang, J., Xu, L., Zhou, S., Wu, W., & Ye, X. (2015). An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube. International Journal of Applied Mathematics and Computer Science, 25(2), 295–309.MathSciNetMATHCrossRef Zhang, J., Xu, L., Zhou, S., Wu, W., & Ye, X. (2015). An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube. International Journal of Applied Mathematics and Computer Science, 25(2), 295–309.MathSciNetMATHCrossRef
9.
Zurück zum Zitat Sert, S. A., Bagci, H., & Yazici, A. (2015). MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks. Applied Soft Computing, 30, 151–165.CrossRef Sert, S. A., Bagci, H., & Yazici, A. (2015). MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks. Applied Soft Computing, 30, 151–165.CrossRef
10.
Zurück zum Zitat Dong, M., Ota, K., Liu, A., & Guo, M. (2016). Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 27(1), 225–236.CrossRef Dong, M., Ota, K., Liu, A., & Guo, M. (2016). Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 27(1), 225–236.CrossRef
11.
Zurück zum Zitat Kim, D., Wu, Y., Li, Y., Zou, F., & Du, D. Z. (2009). Constructing minimum connected dominating sets with bounded diameters in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 20(2), 147–157.CrossRef Kim, D., Wu, Y., Li, Y., Zou, F., & Du, D. Z. (2009). Constructing minimum connected dominating sets with bounded diameters in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 20(2), 147–157.CrossRef
12.
Zurück zum Zitat Tang, Q., Yang, K., Li, P., Zhang, J., Luo, Y., & Xiong, B. (2012). An energy efficient MCDS construction algorithm for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 1, 1–15.CrossRef Tang, Q., Yang, K., Li, P., Zhang, J., Luo, Y., & Xiong, B. (2012). An energy efficient MCDS construction algorithm for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 1, 1–15.CrossRef
13.
Zurück zum Zitat Cheng, B., Fan, J., & Jia, X. (2015). Dimensional-permutation-based independent spanning trees in bijective connection networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 45–53.CrossRef Cheng, B., Fan, J., & Jia, X. (2015). Dimensional-permutation-based independent spanning trees in bijective connection networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 45–53.CrossRef
14.
Zurück zum Zitat Konstantopoulos, C., Vathis, N., Pantziou, G., & Gavalas, D. (2015). Efficient delay-constrained data collection in wireless sensor networks using mobile sinks. In 2015 8th IFIP wireless and mobile networking conference Konstantopoulos, C., Vathis, N., Pantziou, G., & Gavalas, D. (2015). Efficient delay-constrained data collection in wireless sensor networks using mobile sinks. In 2015 8th IFIP wireless and mobile networking conference
15.
Zurück zum Zitat Velmani, R., & Kaarthick, B. (2015). An efficient cluster-tree based data collection scheme for large mobile wireless sensor networks. IEEE Sensors Journal, 15(4), 2377–2390.CrossRef Velmani, R., & Kaarthick, B. (2015). An efficient cluster-tree based data collection scheme for large mobile wireless sensor networks. IEEE Sensors Journal, 15(4), 2377–2390.CrossRef
16.
Zurück zum Zitat Doudou, M., Djenouri, D., Barceloordinas, J. M., & Badache, N. (2014). Cost effective node deployment strategy for energy-balanced and delay-efficient data collection in wireless sensor networks. In IEEE wireless communications and networking conference. 2014 IEEE wireless communications and networking conference (WCNC). Istanbul: Institute of Electrical and Electronics Engineers (IEEE), pp. 2868–2873. Doudou, M., Djenouri, D., Barceloordinas, J. M., & Badache, N. (2014). Cost effective node deployment strategy for energy-balanced and delay-efficient data collection in wireless sensor networks. In IEEE wireless communications and networking conference. 2014 IEEE wireless communications and networking conference (WCNC). Istanbul: Institute of Electrical and Electronics Engineers (IEEE), pp. 2868–2873.
17.
Zurück zum Zitat Cheng, C.-T., Tse, C. K., & Lau, F. C. M. (2011). A delay-aware data collection network structure for wireless sensor networks. IEEE Sensors Journal, 11(3), 699–C710.CrossRef Cheng, C.-T., Tse, C. K., & Lau, F. C. M. (2011). A delay-aware data collection network structure for wireless sensor networks. IEEE Sensors Journal, 11(3), 699–C710.CrossRef
18.
Zurück zum Zitat Cheng, C.-T., Tse, C. K., & Lau, F. C. M. (2013). A delay-aware network structure for wireless sensor networks with consecutive data collection processes. IEEE Sensors Journal, 13(6), 2413–2422.CrossRef Cheng, C.-T., Tse, C. K., & Lau, F. C. M. (2013). A delay-aware network structure for wireless sensor networks with consecutive data collection processes. IEEE Sensors Journal, 13(6), 2413–2422.CrossRef
19.
Zurück zum Zitat Khan, S., Khan, F., & Khan, S. (2015). Delay and throughput performance improvement in wireless sensor and actor networks. In The 5th IEEE national symposium on information technology: towards smart world, pp. 1–5. Khan, S., Khan, F., & Khan, S. (2015). Delay and throughput performance improvement in wireless sensor and actor networks. In The 5th IEEE national symposium on information technology: towards smart world, pp. 1–5.
20.
Zurück zum Zitat Xu, X. H., Li, M., Mao, X. F., Tang, S. J., & Wang, S. G. (2011). A delay efficient algorithm for data aggregation in multihop wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(1), 163–175.CrossRef Xu, X. H., Li, M., Mao, X. F., Tang, S. J., & Wang, S. G. (2011). A delay efficient algorithm for data aggregation in multihop wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(1), 163–175.CrossRef
21.
Zurück zum Zitat Li, H. X., Wu, C., Hua, Q. S., & Lau, F. C. M. (2014). Latency-minimizing data aggregation in wireless sensor networks under physical interference model. Ad Hoc Network, 12(1), 52–68.CrossRef Li, H. X., Wu, C., Hua, Q. S., & Lau, F. C. M. (2014). Latency-minimizing data aggregation in wireless sensor networks under physical interference model. Ad Hoc Network, 12(1), 52–68.CrossRef
22.
Zurück zum Zitat Chen, I., & Wang, Y. (2012). Reliability analysis of wireless sensor networks with distributed code attestation. IEEE Communications Letters, 16(10), 1640–1643.CrossRef Chen, I., & Wang, Y. (2012). Reliability analysis of wireless sensor networks with distributed code attestation. IEEE Communications Letters, 16(10), 1640–1643.CrossRef
23.
Zurück zum Zitat Sidera, A., & Toumpis, S. (2014). On the delay/cost tradeoff in wireless mobile delay-tolerant networks. In International symposium on modeling and optimization in mobile, ad hoc, and wireless networks. IEEE, pp. 452–459. Sidera, A., & Toumpis, S. (2014). On the delay/cost tradeoff in wireless mobile delay-tolerant networks. In International symposium on modeling and optimization in mobile, ad hoc, and wireless networks. IEEE, pp. 452–459.
24.
Zurück zum Zitat Hong, C., Xiong, Z., & Zhang, Y. (2016). A hybrid beaconless geographic routing for different packets in WSN (Vol. 22, pp. 1107–1120). New York: Springer. Hong, C., Xiong, Z., & Zhang, Y. (2016). A hybrid beaconless geographic routing for different packets in WSN (Vol. 22, pp. 1107–1120). New York: Springer.
25.
Zurück zum Zitat Ahlswede, R., Cai, N., Li, S. Y. R., & Yeung, R. W. (2000). Network information flow. IEEE Transactions on Information Theory, 46(4), 1204–1216.MathSciNetMATHCrossRef Ahlswede, R., Cai, N., Li, S. Y. R., & Yeung, R. W. (2000). Network information flow. IEEE Transactions on Information Theory, 46(4), 1204–1216.MathSciNetMATHCrossRef
26.
Zurück zum Zitat Ye, X., Li, J., & Xu, L. (2014). Distributed separate coding for continuous data collection in wireless sensor networks. ACM Transactions on Sensor Networks, 11(11), 1–26.CrossRef Ye, X., Li, J., & Xu, L. (2014). Distributed separate coding for continuous data collection in wireless sensor networks. ACM Transactions on Sensor Networks, 11(11), 1–26.CrossRef
27.
Zurück zum Zitat Gadouleau, M., Richard, A., & Fanchon, E. (2016). Reduction and fixed points of boolean networks and linear network coding solvability. IEEE Transactions on Information Theory, 62(5), 2504–2519.MathSciNetMATHCrossRef Gadouleau, M., Richard, A., & Fanchon, E. (2016). Reduction and fixed points of boolean networks and linear network coding solvability. IEEE Transactions on Information Theory, 62(5), 2504–2519.MathSciNetMATHCrossRef
28.
Zurück zum Zitat Xu, L., Zhang, J., Xiang, Y., & Huang, X. (2017). Network coding based converge-cast scheme in wireless sensor networks. Wireless Personal Communications, 96(4), 4947–4972.CrossRef Xu, L., Zhang, J., Xiang, Y., & Huang, X. (2017). Network coding based converge-cast scheme in wireless sensor networks. Wireless Personal Communications, 96(4), 4947–4972.CrossRef
29.
Zurück zum Zitat Cheng, B., Fan, J., & Jia, X. (2014). Dimensional-permutation-based independent spanning trees in bijective connection networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 45–53.CrossRef Cheng, B., Fan, J., & Jia, X. (2014). Dimensional-permutation-based independent spanning trees in bijective connection networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 45–53.CrossRef
30.
Zurück zum Zitat Zhang, J., Xu, L., Zhou, S., Min, G., Xiang, Y., & Hu, J. (2017). Crossed cube ring: A k-connected virtual backbone for wireless sensor networks. Journal of Network and Computer Applications, 91(1), 75–88.CrossRef Zhang, J., Xu, L., Zhou, S., Min, G., Xiang, Y., & Hu, J. (2017). Crossed cube ring: A k-connected virtual backbone for wireless sensor networks. Journal of Network and Computer Applications, 91(1), 75–88.CrossRef
Metadaten
Titel
Minimization of delay and collision with cross cube spanning tree in wireless sensor networks
verfasst von
Jing Zhang
Li Xu
Pei-Wei Tsai
Zhiwei Lin
Publikationsdatum
03.01.2018
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 4/2019
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-017-1653-4

Weitere Artikel der Ausgabe 4/2019

Wireless Networks 4/2019 Zur Ausgabe

Neuer Inhalt