Skip to main content
Log in

Position and hop-count assisted full coverage control in dense sensor networks

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

In recent years, wireless sensor networks (WSN’s) have gained much attention due to its various applications in military, environmental monitoring, industries and in many others. All these applications require some target field to be monitored by a group of sensor nodes. Hence, coverage becomes an important issue in WSN’s. This paper focuses on full coverage issue of WSN’s. Based on the idea of some existing and derived theorems, Position and Hop-count Assisted (PHA) algorithm is proposed. This algorithm provides full coverage of the target field, maintains network connectivity and tries to minimize the number of working sensor nodes. Algorithm works for communication range less than root three times of sensing range and it can be extended for arbitrary relation between communication range and sensing range. By using hop-count value, three-connectivity in the network is maintained. Also, neighbors information is used to create logical tree structure which can be utilized in routing, redundant data removal and in other areas. Simulation results show that PHA algorithm outperforms layered diffusion-based coverage control algorithm by providing better area coverage and activating fewer nodes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  1. Bangali, J., & Shaligram, A. (2013). Energy efficient smart home based on wireless sensor network using labview. American Journal of Engineering Research (AJER), 2(12), 409–413.

    Google Scholar 

  2. Ko, J. G., Lu, C., Srivastava, M. B., Stankovic, J. A., Terzis, A., & Welsh, M. (2010). Wireless sensor networks for healthcare. Proceedings of the IEEE, 98(11), 1947–1960.

    Article  Google Scholar 

  3. He, D., Chen, C., Chan, S., Bu, J., & Vasilakos, A. V. (2012). Retrust: Attack-resistant and lightweight trust management for medical sensor networks. Information Technology in Biomedicine, IEEE Transactions on, 16(4), 623–632.

    Article  Google Scholar 

  4. Durisic, M. P., Tafa, Z., Dimic, G., & Milutinovic, V. (2012). A survey of military applications of wireless sensor networ-ks. In Embedded computing (MECO), 2012 Mediterranean Conference on, pp. 196–199, June 2012.

  5. Othman, M. F., & Shazali, K. (2012). Wireless sensor network applications: A study in environment monitoring system. Procedia Engineering, 41(0), 1204–1210. International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012).

  6. Aslan, Y. E., Korpeoglu, I., & Ulusoy, O. (2012). A framework for use of wireless sensor networks in forest fire detection and monitoring. Computers, Environment and Urban Systems, 36(6), 614–625. Special Issue: Advances in Geocomputation.

  7. Wireless sensor network. Web resource from Wikipedia. http://en.wikipedia.org/wiki/Wireless_sensor_network. Accessed 27 May 2014.

  8. IRIS sensor specification from MEMSIC. Web resource. http://www.memsic.com/userfiles/files/Datasheets/WSN/IRIS_Datasheet.pdf. Accessed 27 May 2014.

  9. Wireless sensor nodes. Web resource from Wikipedia. http://en.wikipedia.org/wiki/List_of_wireless_sensor_nodes. Accessed 27 May 2014.

  10. Zhang, H., & Hou, J. C. (2005). Maintaining sensing coverage and connectivity in large sensor networks. Ad Hoc and Sensor Wireless Networks, 1(6), 89–124.

    Google Scholar 

  11. Wang, X., Xing, G., Zhang, Y., Lu, C., Pless, R., & Gill, C. (2003). Integrated coverage and connectivity configuration in wireless sensor networks. In Proceedings of the 1st international conference on embedded networked sensor systems, SenSys ’03, pp. 28–39. New York, NY: ACM.

  12. Gallais, A., Carle, J., Simplot-Ryl, D., & Stojmenovic, I. (2006). Localized sensor area coverage with low communication overhead. In Proceedings of the fourth annual IEEE international conference on pervasive computing and communications, PERCOM ’06, pp. 328–337, Washington, DC, USA, 2006. IEEE Computer Society.

  13. Wang, B., Fu, C., & Lim, H. B. (2009). Layered diffusion-based coverage control in wireless sensor networks. Computer Networks, 53(7), 1114–1124.

    Article  MATH  Google Scholar 

  14. Tian, D., & Georganas, N. D. (2002). A coverage-preserving node scheduling scheme for large wireless sensor networks. In Proceedings of the 1st ACM international workshop on wireless sensor networks and applications, WSNA ’02, pp. 32–41. New York, NY: ACM.

  15. Ye, F., Zhong, G., Cheng, J., Lu, S., & Zhang, L. (2003). PEAS: A robust energy conserving protocol for long-lived sensor networks. In Distributed computing systems, 2003. Proceedings. 23rd international conference on, pp. 28–37, May 2003.

  16. Sabbineni, H., Chakrabarty, K., Ji, X., Zha, H., Lee, D., Varaiya, P., et al. (2005). Sensor deployment, self-organization, and localization (pp. 11–90). London: Wiley.

    Google Scholar 

  17. Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–2557.

    Article  Google Scholar 

  18. Zhu, C., Zheng, C., Shu, L., & Han, G. (2012). A survey on coverage and connectivity issues in wireless sensor networks. Journal of Network and Computer Applications, 35(2), 619–632. Simulation and Testbeds.

  19. Sengupta, S., Das, S., Nasir, M., Vasilakos, A. V., & Pedrycz, W. (2012). An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 42(6), 1093–1102.

    Article  Google Scholar 

  20. Nazir, U., Arshad, M. A., Shahid, N., & Raza, S. H. (2012). Classification of localization algorithms for wireless sensor network: A survey. In Open source systems and technologies (ICOSST), 2012 international conference on, pp. 1–5, Dec 2012.

  21. Han, G., Xu, H., Duong, T. Q., Jiang, J., & Hara, T. (2013). Localization algorithms of wireless sensor networks: A survey. Telecommunication Systems, 52(4), 2419–2436.

    Article  Google Scholar 

  22. Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman filter. Computer Communications, 34(6), 793–802.

    Article  Google Scholar 

  23. Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In Sensor, mesh and ad hoc communications and networks (SECON), 2011 8th annual IEEE communications society conference on, pp. 46–54, June 2011.

  24. Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In Mobile ad-hoc and sensor systems (MASS), 2013 IEEE 10th international conference on, pp. 182–190, Oct 2013.

  25. Yao, Y., Cao, Q., & Vasilakos, A. V. (2014). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. Networking, IEEE/ACM Transactions on, PP(99), 1–1.

  26. Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., McCann, J., & Leung, K. (2013). A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities. Wireless Communications, IEEE, 20(6), 91–98.

    Article  Google Scholar 

  27. Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. Communications Magazine, IEEE, 51(7), 107–113.

    Article  Google Scholar 

  28. OMNET++ network simulation framework. http://www.omnetpp.org/. Accessed 27 May 2014.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abhiram Singh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Singh, A., Sharma, T.P. Position and hop-count assisted full coverage control in dense sensor networks. Wireless Netw 21, 625–638 (2015). https://doi.org/10.1007/s11276-014-0810-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-014-0810-2

Keywords

Navigation