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Erschienen in: Wireless Personal Communications 3/2017

14.02.2017

A Topology Control Approach Reducing Construction Cost for Lossy Wireless Sensor Networks

verfasst von: Jinsong Gui, Jian Deng

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

In lossy wireless sensor networks, many links suffer from significant quality variation with time and environments. Topology control approaches need to consider such stochastic nature to yield different topologies for different application requirements. However, the metric of links must be timely obtained to speed up the topology construction. In fact, the existing approaches address it by passive monitoring, which is not timely adaptive to link quality variation. Also, timely access to the metric of all links at all power levels causes a large burden on topology control operation. We do not insist on getting the link metrics of all power levels at a time. Most urgently needed link metrics are firstly obtained by an active probing mode in this paper. If these link metrics do not meet the topology performance requirements, sub-urgently needed link metrics will be obtained on demand. At the same time, each node performs a topology control process based on the information in a smaller range (e.g., 1-hop neighborhood). Therefore, our approach has the low construct cast, which is proved in this paper. The simulation results also show that our approach outperforms the existing typical works in terms of average transmission power level, though it is slightly less efficient in terms of average delivery rate, average end-to-end delay and total energy consumption. In addition, our approach has advantage in terms of standard deviation of remaining energy under the relatively smaller required path quality bound or lower node density.

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Literatur
1.
3.
Zurück zum Zitat Zhao, J., & Govindan, R. (2003). Understanding packet delivery performance in dense wireless sensor networks. In ACM SenSys, (pp. 1–13). Zhao, J., & Govindan, R. (2003). Understanding packet delivery performance in dense wireless sensor networks. In ACM SenSys, (pp. 1–13).
4.
Zurück zum Zitat Zhou, G., He, T., Krishnamurthy, S., & Stankovic, J. A. (2004). Impact of radio irregularity on wireless sensor networks. In ACM MobiSys (pp. 125–138). Zhou, G., He, T., Krishnamurthy, S., & Stankovic, J. A. (2004). Impact of radio irregularity on wireless sensor networks. In ACM MobiSys (pp. 125–138).
5.
Zurück zum Zitat Zuniga, M., & Krishnamachari, B. (2004). Analyzing the transitional region in low power wireless links. In IEEE SECON (pp. 517–526). Zuniga, M., & Krishnamachari, B. (2004). Analyzing the transitional region in low power wireless links. In IEEE SECON (pp. 517–526).
6.
Zurück zum Zitat Cerpa, A., Wong, J. L., Kuang, L., Potkonjak, M., & Estrin, D. (2005). Statistical model of lossy links in wireless sensor networks. In 4th international symposium on information processing in sensor networks (pp. 81–88). Cerpa, A., Wong, J. L., Kuang, L., Potkonjak, M., & Estrin, D. (2005). Statistical model of lossy links in wireless sensor networks. In 4th international symposium on information processing in sensor networks (pp. 81–88).
7.
Zurück zum Zitat Saxena, P. (2015). Systematic network coding for lossy line networks. International Journal of Foundations of Computer Science, 10(4), 372–381.MathSciNet Saxena, P. (2015). Systematic network coding for lossy line networks. International Journal of Foundations of Computer Science, 10(4), 372–381.MathSciNet
8.
Zurück zum Zitat Wu, C., Ji, Y. S., Xu, J., Ohzahata, J. S., & Kato, T. (2014). Coded packets over lossy links: A redundancy-based mechanism for reliable and fast data collection in sensor networks. Computer Networks, 70(9), 179–191.CrossRef Wu, C., Ji, Y. S., Xu, J., Ohzahata, J. S., & Kato, T. (2014). Coded packets over lossy links: A redundancy-based mechanism for reliable and fast data collection in sensor networks. Computer Networks, 70(9), 179–191.CrossRef
9.
Zurück zum Zitat Li, P., & Guo, S. (2013). On the multicast capacity in energy-constrained lossy wireless networks by exploiting intrabatch and interbatch network coding. IEEE Transactions on Parallel and Distributed Systems, 24(11), 2251–2260.CrossRef Li, P., & Guo, S. (2013). On the multicast capacity in energy-constrained lossy wireless networks by exploiting intrabatch and interbatch network coding. IEEE Transactions on Parallel and Distributed Systems, 24(11), 2251–2260.CrossRef
10.
Zurück zum Zitat Ji, S. L., He, J. S., Pan, Y., & Li, Y. S. (2013). Continuous data aggregation and capacity in probabilistic wireless sensor networks. Journal of Parallel and Distributed Computing, 73(6), 729–745.CrossRefMATH Ji, S. L., He, J. S., Pan, Y., & Li, Y. S. (2013). Continuous data aggregation and capacity in probabilistic wireless sensor networks. Journal of Parallel and Distributed Computing, 73(6), 729–745.CrossRefMATH
11.
Zurück zum Zitat Joo, C., & Shroff, N. B. (2014). On the delay performance of in-network aggregation in lossy wireless sensor networks. IEEE/ACM Transactions on Networking, 22(2), 662–673.CrossRef Joo, C., & Shroff, N. B. (2014). On the delay performance of in-network aggregation in lossy wireless sensor networks. IEEE/ACM Transactions on Networking, 22(2), 662–673.CrossRef
12.
Zurück zum Zitat Lamaazi, H., Benamar, N., Imaduddin, M. I., Habbal, A., & Jara, A. J. (2016). Mobility support for the routing protocol in low power and lossy networks. In The 30th IEEE international conference on advanced information networking and applications (AINA-2016). Crans-Montana, Switzerland (pp. 23–25). Lamaazi, H., Benamar, N., Imaduddin, M. I., Habbal, A., & Jara, A. J. (2016). Mobility support for the routing protocol in low power and lossy networks. In The 30th IEEE international conference on advanced information networking and applications (AINA-2016). Crans-Montana, Switzerland (pp. 23–25).
13.
Zurück zum Zitat Woo, A., Tong, T., & Culler, D. (2003). Taming the underlying challenges of reliable multihop routing in sensor networks. In ACM SenSys (pp. 14–27). Woo, A., Tong, T., & Culler, D. (2003). Taming the underlying challenges of reliable multihop routing in sensor networks. In ACM SenSys (pp. 14–27).
14.
Zurück zum Zitat Karkazis, P., Trakadas, P., Leligou, H. C., Sarakis, L., Papaefstathiou, I., & Zahariadis, T. (2013). Evaluating routing metric composition approaches for QoS differentiation in low power and lossy networks. Wireless Networks, 19(6), 1269–1284.CrossRef Karkazis, P., Trakadas, P., Leligou, H. C., Sarakis, L., Papaefstathiou, I., & Zahariadis, T. (2013). Evaluating routing metric composition approaches for QoS differentiation in low power and lossy networks. Wireless Networks, 19(6), 1269–1284.CrossRef
15.
Zurück zum Zitat Gaddour, O., Koubaa, A., & Abid, M. (2015). Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL. Ad Hoc Networks, 33, 233–256.CrossRef Gaddour, O., Koubaa, A., & Abid, M. (2015). Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL. Ad Hoc Networks, 33, 233–256.CrossRef
16.
Zurück zum Zitat Irehrour, D. A., Gutierrez, J., & Ray, S. K. (2016). Secure routing for internet of things: A survey. Journal of Network and Computer Applications, 66, 198–213.CrossRef Irehrour, D. A., Gutierrez, J., & Ray, S. K. (2016). Secure routing for internet of things: A survey. Journal of Network and Computer Applications, 66, 198–213.CrossRef
17.
Zurück zum Zitat Deng, X. H., He, L. F., Li, X., Liu, Q., Cai, L., & Chen, Z. G. (2016). A reliable QoS-aware routing scheme for neighbor area network in smart grid. Peer-to-Peer Networking and Applications, 9(4), 616–627. doi:10.1007/s12083-015-0331-5.CrossRef Deng, X. H., He, L. F., Li, X., Liu, Q., Cai, L., & Chen, Z. G. (2016). A reliable QoS-aware routing scheme for neighbor area network in smart grid. Peer-to-Peer Networking and Applications, 9(4), 616–627. doi:10.​1007/​s12083-015-0331-5.CrossRef
18.
Zurück zum Zitat Xing, G. L., Lu, C. Y., Jia, X. H., & Pless, R. (2013). Localized and configurable topology control in lossy wireless sensor networks. Ad Hoc Networks, 11, 1345–1358.CrossRef Xing, G. L., Lu, C. Y., Jia, X. H., & Pless, R. (2013). Localized and configurable topology control in lossy wireless sensor networks. Ad Hoc Networks, 11, 1345–1358.CrossRef
19.
Zurück zum Zitat Gong, D. W., Yang, Y. Y., & Pan, Z. X. (2013). Energy-efficient clustering in lossy wireless sensor networks. Journal of Parallel and Distributed Computing, 73(9), 1323–1336.CrossRef Gong, D. W., Yang, Y. Y., & Pan, Z. X. (2013). Energy-efficient clustering in lossy wireless sensor networks. Journal of Parallel and Distributed Computing, 73(9), 1323–1336.CrossRef
20.
Zurück zum Zitat Wang, X. J., Liao, X. F., Huang, H. Y., & Guo, S. T. (2013). Topology control in lossy wireless sensor networks with delay constraint. In Proceedings of IEEE wireless communications and networking conference (WCNC) (pp. 958–963). Wang, X. J., Liao, X. F., Huang, H. Y., & Guo, S. T. (2013). Topology control in lossy wireless sensor networks with delay constraint. In Proceedings of IEEE wireless communications and networking conference (WCNC) (pp. 958–963).
21.
Zurück zum Zitat Deng, X. H., He, L. F., Liu, Q., Li, X., Cai, L., & Chen, Z. G. (2016). EPTR: Expected path throughput based routing protocol for wireless mesh network. Wireless Networks, 22(3), 839–854.CrossRef Deng, X. H., He, L. F., Liu, Q., Li, X., Cai, L., & Chen, Z. G. (2016). EPTR: Expected path throughput based routing protocol for wireless mesh network. Wireless Networks, 22(3), 839–854.CrossRef
22.
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
24.
Zurück zum Zitat Baccour, N., Koubaa, A., Youssef, H., & Alves, M. (2015). Reliable link quality estimation in low-power wireless networks and its impact on tree-routing. Ad Hoc Networks, 27, 1–25.CrossRef Baccour, N., Koubaa, A., Youssef, H., & Alves, M. (2015). Reliable link quality estimation in low-power wireless networks and its impact on tree-routing. Ad Hoc Networks, 27, 1–25.CrossRef
25.
Zurück zum Zitat Fonseca, R., Gnawali, O., Jamieson, K., & Levis, P. (2007). Four bit wireless link estimation. In Proceedings of the 6th international workshop on hot topics in networks (HotNets VI). ACM SIGCOMM. Fonseca, R., Gnawali, O., Jamieson, K., & Levis, P. (2007). Four bit wireless link estimation. In Proceedings of the 6th international workshop on hot topics in networks (HotNets VI). ACM SIGCOMM.
26.
Zurück zum Zitat Zuniga, M., Irzynska, I., Hauer, J. H., Voigt, T., Boano, C. A., & Romer, K. (2011). Link quality ranking: getting the best out of unreliable links. In Proceedings of the 7th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS’11). IEE Computer Society (pp. 1–8). Zuniga, M., Irzynska, I., Hauer, J. H., Voigt, T., Boano, C. A., & Romer, K. (2011). Link quality ranking: getting the best out of unreliable links. In Proceedings of the 7th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS’11). IEE Computer Society (pp. 1–8).
27.
Zurück zum Zitat Ramanathan, R., & Rosales-Hain, R. (2000). Topology control of multi-hop wireless networks using transmit power adjustment. In Proceedings of the IEEE INFOCOM, IEEE (pp. 404–413). Ramanathan, R., & Rosales-Hain, R. (2000). Topology control of multi-hop wireless networks using transmit power adjustment. In Proceedings of the IEEE INFOCOM, IEEE (pp. 404–413).
28.
Zurück zum Zitat Li, N., Hou, J. C., & Sha, L. (2005). Design and analysis of an MST-based topology control algorithm. IEEE Transactions on Wireless Communications, 4(3), 1195–1206.CrossRef Li, N., Hou, J. C., & Sha, L. (2005). Design and analysis of an MST-based topology control algorithm. IEEE Transactions on Wireless Communications, 4(3), 1195–1206.CrossRef
29.
Zurück zum Zitat Li, N., & Hou, J. C. (2005). Localized topology control algorithms for heterogeneous wireless networks. IEEE/ACM Transactions on Networking, 13(6), 1313–1324.CrossRef Li, N., & Hou, J. C. (2005). Localized topology control algorithms for heterogeneous wireless networks. IEEE/ACM Transactions on Networking, 13(6), 1313–1324.CrossRef
30.
Zurück zum Zitat Gui, J. S., & Liu, A. F. (2012). A new distributed topology control algorithm based on optimization of delay and energy in wireless networks. Journal of Parallel and Distributed Computing, 72(8), 1032–1044.CrossRefMATH Gui, J. S., & Liu, A. F. (2012). A new distributed topology control algorithm based on optimization of delay and energy in wireless networks. Journal of Parallel and Distributed Computing, 72(8), 1032–1044.CrossRefMATH
31.
Zurück zum Zitat Gui, J. S., & Zhou, K. (2016). Flexible adjustments between energy and capacity for topology control in heterogeneous wireless multi-hop networks. Journal of Network and Systems Management, 24, 789–812.CrossRef Gui, J. S., & Zhou, K. (2016). Flexible adjustments between energy and capacity for topology control in heterogeneous wireless multi-hop networks. Journal of Network and Systems Management, 24, 789–812.CrossRef
32.
Zurück zum Zitat Liu, J., & Li, B. (2002). Mobilegrid: capacity-aware topology control in mobile ad hoc networks. In Proceedings of IEEE eleventh international conference on computer communications and networks (pp. 570–574). Liu, J., & Li, B. (2002). Mobilegrid: capacity-aware topology control in mobile ad hoc networks. In Proceedings of IEEE eleventh international conference on computer communications and networks (pp. 570–574).
33.
Zurück zum Zitat Ramanathan, R., & Rosales-Hain, R. (2000). Topology control of multi-hop wireless networks using transmit power adjustment. In Proceedings of nineteenth annual joint conference of the IEEE computer and communications societies (pp. 404–413). Ramanathan, R., & Rosales-Hain, R. (2000). Topology control of multi-hop wireless networks using transmit power adjustment. In Proceedings of nineteenth annual joint conference of the IEEE computer and communications societies (pp. 404–413).
34.
Zurück zum Zitat Blough, D. M., Leoncini, M., Resta, G., & Santi, P. (2006). The k-neighbors approach to interference bounded and symmetric topology control in ad hoc networks. IEEE Transactions on Mobile Computing, 5(9), 1267–1282.CrossRef Blough, D. M., Leoncini, M., Resta, G., & Santi, P. (2006). The k-neighbors approach to interference bounded and symmetric topology control in ad hoc networks. IEEE Transactions on Mobile Computing, 5(9), 1267–1282.CrossRef
35.
Zurück zum Zitat Dargie, W., Mochaourab, R., Schill, A., & Guan, L. (2011). A topology control protocol based on eligibility and efficiency metrics. Journal of Systems and Software, 84(1), 2–11.CrossRef Dargie, W., Mochaourab, R., Schill, A., & Guan, L. (2011). A topology control protocol based on eligibility and efficiency metrics. Journal of Systems and Software, 84(1), 2–11.CrossRef
36.
Zurück zum Zitat Gui, J. S., & Zeng, Z. W. (2015). Joint network lifetime and delay optimization for topology control in heterogeneous wireless multi-hop networks. Computer Communications, 59, 24–36.CrossRef Gui, J. S., & Zeng, Z. W. (2015). Joint network lifetime and delay optimization for topology control in heterogeneous wireless multi-hop networks. Computer Communications, 59, 24–36.CrossRef
37.
Zurück zum Zitat Gui, J. S., Zhou, K., & Xiong, N. X. (2016). A cluster-based dual-adaptive topology control approach in wireless sensor networks. Sensors, 16, 1576.CrossRef Gui, J. S., Zhou, K., & Xiong, N. X. (2016). A cluster-based dual-adaptive topology control approach in wireless sensor networks. Sensors, 16, 1576.CrossRef
38.
Zurück zum Zitat Lin, S., Zhang, J., Zhou, G., Gu, L., He, T., & Stankovic, J. A. (2006). ATPC: adaptive transmission power control for wireless sensor networks. In ACM SenSys (pp. 223–236). Lin, S., Zhang, J., Zhou, G., Gu, L., He, T., & Stankovic, J. A. (2006). ATPC: adaptive transmission power control for wireless sensor networks. In ACM SenSys (pp. 223–236).
39.
Zurück zum Zitat Hackmann, G., Chipara, O., & Lu, C. (2008). Robust topology control for indoor wireless sensor networks. In SenSys (pp.57–70). Hackmann, G., Chipara, O., & Lu, C. (2008). Robust topology control for indoor wireless sensor networks. In SenSys (pp.57–70).
40.
Zurück zum Zitat Eppstein, D. (1996). Spanning trees and spanners. Technical Report ICS-TR-96-16. Eppstein, D. (1996). Spanning trees and spanners. Technical Report ICS-TR-96-16.
41.
Zurück zum Zitat Gao, J., Guibas, L. J., Hershberger, J., Zhang, L., & Zhu, A. (2001). Geometric spanner for routing in mobile networks. In MobiHoc (pp. 45–55). Gao, J., Guibas, L. J., Hershberger, J., Zhang, L., & Zhu, A. (2001). Geometric spanner for routing in mobile networks. In MobiHoc (pp. 45–55).
42.
Zurück zum Zitat Li, X. Y., Calinescu, G., & Wan, P. J. (2002). Distributed construction of a planar spanner and routing for ad hoc wireless networks. In INFOCOM (pp.1268–1277). Li, X. Y., Calinescu, G., & Wan, P. J. (2002). Distributed construction of a planar spanner and routing for ad hoc wireless networks. In INFOCOM (pp.1268–1277).
43.
Zurück zum Zitat Heinzelman, W. B. (2000). Application-specific protocol architectures for wireless networks. PhD Thesis, 2000. (Supervisor-Chandrakasan, Anantha P. and Supervisor-Balakrishnan, Hari). Heinzelman, W. B. (2000). Application-specific protocol architectures for wireless networks. PhD Thesis, 2000. (Supervisor-Chandrakasan, Anantha P. and Supervisor-Balakrishnan, Hari).
45.
Zurück zum Zitat Gui, J. S., Ahmadi, M., & Tong, F. (2015). Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes. Journal of Systems and Software, 108, 1–22.CrossRef Gui, J. S., Ahmadi, M., & Tong, F. (2015). Dynamically constructing and maintaining virtual access points in a macro cell with selfish nodes. Journal of Systems and Software, 108, 1–22.CrossRef
46.
Zurück zum Zitat Liu, X., Dong, M. X., Ota, K., Yang, L. T., & Liu, A. F. (2016). Trace malicious source to guarantee cyber security for mass monitor critical infrastructure. Journal of Computer and System Sciences. doi:10.1016/j.jcss.2016.09.008. Liu, X., Dong, M. X., Ota, K., Yang, L. T., & Liu, A. F. (2016). Trace malicious source to guarantee cyber security for mass monitor critical infrastructure. Journal of Computer and System Sciences. doi:10.​1016/​j.​jcss.​2016.​09.​008.
47.
Zurück zum Zitat Zhang, D. Y., Chen, Z. G., Zhou, H. B., Chen, L., & Shen, X. M. (2016). Energy-balanced cooperative transmission based on relay selection and power control in energy harvesting wireless sensor network. Computer Networks, 104, 189–197.CrossRef Zhang, D. Y., Chen, Z. G., Zhou, H. B., Chen, L., & Shen, X. M. (2016). Energy-balanced cooperative transmission based on relay selection and power control in energy harvesting wireless sensor network. Computer Networks, 104, 189–197.CrossRef
Metadaten
Titel
A Topology Control Approach Reducing Construction Cost for Lossy Wireless Sensor Networks
verfasst von
Jinsong Gui
Jian Deng
Publikationsdatum
14.02.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4048-z

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