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Comparative Analysis of Energy Consumption in Sensor Node Scheduling Heuristics in Wireless Sensor Network

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Engineering Vibration, Communication and Information Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 478))

Abstract

Wireless Sensor Networks (WSNs) are commonly used in many wireless applications like battlefield, environmental monitoring, etc. WSN is consisting of an excess of sensors that operates for many months to years to complete their assigned tasks. Due to the small size of a sensor node, the power supply attached to the sensor node is very limited in size. Thus, energy conservation becomes a challenging issue in WSN design and researchers face problem to get long operating hours without affecting the system performance. In this paper, a hardware and battery models are surveyed that can affect battery life and cause the difference between the simulation and application results. Varieties of mathematical models have been studied to serve as analytical tools in quantifying battery utilization and discharge characteristics. However, batteries are the primary power supply source. They fail earlier in some applications than their projected working time. So Energy Harvesting WSN (EHWSN) can be used if possible. This paper compares and shows a pattern of battery utilization in lifetime maximizing heuristics for WSN. In (Gupta and Roy Global J Comput Sci Technol E Netw Web Secur 15(6), 2015 [1]), proposed a heuristic called Q-Coverage Maximum Connected Set Cover (QC-MCSC) and it is used for energy minimization. It schedules the activities of nodes having Q-Coverage and Connectivity constraints. QC-MCSC is compared with existing heuristics, High Energy Small Lifetime (HESL), Triple Phase Iterative Connected Set Cover (TPICSC) and Maximum Set Cover (MSC). In this paper, a comparison of performance of QC-MCSC heuristic is done with existing heuristics over battery utilization pattern in WSN.

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References

  1. Gupta, S., Roy, K.C.: Q-Coverage maximum connected set cover (QC-MCSC) heuristic for connected target problem in wireless sensor network. Global J. Comput. Sci. Technol. E Netw. Web Secur 15(6) (2015), ISSN: 0975-4172

    Google Scholar 

  2. Gupta, S., Roy, K.C.: Energy efficient target coverage issues in wireless sensor network. Int. J. Comput. Organ. Trends 1(3) (2011), ISSN: 2249-2593

    Google Scholar 

  3. Park, S., Savvides, A., Srivastava, M.B.: Battery capacity measurement and analysis using lithium coin cell battery. In: Proceedings of International Symposium on Low Power Electronics and Design, pp. 382–387 (2001)

    Google Scholar 

  4. Schurgers, C., Aberthorne, O., Srivastava, M.B.: Modulation scaling for energy aware communication systems. In: Proceedings of International Symposium on Low Power Electronics and Design, pp. 96–99 (2001)

    Google Scholar 

  5. Yang, Z., Yuan, Y., He, J.: Energy aware data gathering based on adaptive modulation scaling in wireless sensor networks. In: Proceedings of IEEE 60th Conference on Vehicular Technology, vol. 4, pp. 2794–2798 (2004)

    Google Scholar 

  6. Woo, A., Culler, D.: A transmission control scheme for media access in sensor networks. In: Proceedings of 7th Annual International Conference on Mobile Computing Network, pp. 221–235 (2001)

    Google Scholar 

  7. Wang, X., Ren, Y., Zhao, J., Guo, Z., Yao, R.: Energy efficient transmission protocol for UWB WPAN. In: Proceedings of IEEE 60th Conference on Vehicular Technology, pp. 5292–5296 (2004)

    Google Scholar 

  8. Ramanathan, R., Rosales-Hain, R.: Topology control of multihop wireless networks using transmit power adjustment. In: Proceedings of Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 404–413 (2000)

    Google Scholar 

  9. Li, D., Jia, X., Liu, H.: Energy efficient broadcast routing in static ad hoc wireless networks. IEEE Trans. Mob. Comput. 3(2), 144–151 (2004)

    Google Scholar 

  10. Lahiri, K., Raghunathan, A., Dey, S., Panigrahi, D.: Battery-driven system design: a new frontier in low power design. In: Proceedings of the 7th Asia and South Pacific and the 15th International Conference on VLSI Design, pp. 261–267 (2002)

    Google Scholar 

  11. Gupta, S., Roy, K.C.: Comparison of different energy minimization techniques in wireless sensor network. Int. J. Comput. Appl. (0975–8887) 75(18) (2013)

    Article  Google Scholar 

  12. Gupta, S., Roy, K.C.: Comparison of sensor node scheduling algorithms in wireless sensor networks. Int. Res. J. Eng. Technol. (IRJET), 02(06) (2015), e-ISSN: 2395-0056. www.irjet.net

  13. The Network Simulator—ns-2. http://www.isi.edu/nsnam/ns/ (2011). Accessed 31 Jan 2011

  14. Luo, J., Jha, N.K., Battery-aware static scheduling for distributed real-time embedded systems. In: Proceedings of Design Automation Conference, pp. 444–449 (2001)

    Google Scholar 

  15. Bhardwaj, M., Chandrakasan, A.P.: Bounding the lifetime of sensor networks via optimal role assignments. In: Proceedings of Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1587–1596 (2002)

    Google Scholar 

  16. Bhardwaj, M., Garnett, T., Chandrakasan, A.P.: Upper bounds on the lifetime of sensor networks. In: Proceedings of IEEE International Conference on Communications, vol. 3, pp. 785–790 (2001)

    Google Scholar 

  17. Coleri, S., Ergen, M., Koo, T.J.: Lifetime analysis of a sensor network with hybrid automata modeling. In: The International Workshop on Wireless Sensor Networks and Applications, Atlanta, Georgia (2002)

    Google Scholar 

  18. Dasgupta, K., Kalpakis, K., Namjoshi,P.: An efficient clustering-based heuristic for data gathering and aggregation in sensor networks. In: Proceedings of IEEE Wireless Communications and Networking, pp. 1948–1953 (2003)

    Google Scholar 

  19. Kulau, U., Bus̈ching, F., Wolf, L.: A node’s life: increasing WSN lifetime by dynamic voltage scaling. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems

    Google Scholar 

  20. El-Hoiydi, A.: Spatial TDMA and CSMA with preamble sampling for low power ad hoc wireless sensor networks. In: Proceedings of the Seventh International Symposium on Computers and Communications (ISCC’02) 1530-1346/02 $17.00 © 2002 IEEE

    Google Scholar 

  21. Polastre, J., Hill, J., Culler, D.: Versatile Low Power Media Access for Wireless Sensor Networks, 3–5 Nov 2004

    Google Scholar 

  22. Chaudhary, M., Pujari, A.K.: Q-coverage problem in wireless sensor networks. Int. Conf. Distrib. Comput. Netw. (ICDCN), Springer publications (2009)

    Google Scholar 

  23. Jamali, M.A., Bakhshivand, N., Easmaeilpour, M., Salami, D.: An energy-efficient algorithm for connected target coverage problem in wireless sensor networks. In: 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), vol. 9, pp. 249–254. IEEE Conference Publications (2010)

    Google Scholar 

  24. Cardei, M., Thai, M.T., Li, Y., Wu, W.: Energy efficient target coverage problems in wireless sensors networks. Proceedings of IEEE INFOCOM 2005, 24th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1976–1984. IEEE

    Google Scholar 

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Author information

Authors and Affiliations

  1. Swami Keshvanand Institute of Technology Management & Gramothan (SKIT), Jaipur, India

    Sunita Gupta

  2. Poornima College of Engineering, Jaipur, India

    Sakar Gupta

Authors
  1. Sunita Gupta
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  2. Sakar Gupta
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Corresponding author

Correspondence to Sunita Gupta .

Editor information

Editors and Affiliations

  1. Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  2. Department of Electrical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    S. N. Sharan

  3. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  4. Department of Physics, Manipal University Jaipur, Jaipur, Rajasthan, India

    S. K. Jain

  5. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  6. ANCC, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Gupta, S., Gupta, S. (2019). Comparative Analysis of Energy Consumption in Sensor Node Scheduling Heuristics in Wireless Sensor Network. In: Ray, K., Sharan, S., Rawat, S., Jain, S., Srivastava, S., Bandyopadhyay, A. (eds) Engineering Vibration, Communication and Information Processing. Lecture Notes in Electrical Engineering, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-13-1642-5_36

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  • DOI: https://doi.org/10.1007/978-981-13-1642-5_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1641-8

  • Online ISBN: 978-981-13-1642-5

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