Skip to main content
SpringerLink
Log in

Energy Efficient Transmission in the Presence of Interference for Wireless Sensor Networks

  • Conference paper
  • First Online:
Applications of Computing and Communication Technologies (ICACCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 899))

Abstract

Minimizing Energy consumption in a wireless sensor network has become a challenging issue. Energy consumption in transmission is higher in the presence of interfering nodes due to more re-transmissions required for a successful transmission. In this paper, energy consumption model has been presented. Mathematical models for Rayleigh interference have been derived. Energy efficient algorithm for interference minimization has been investigated. The simulation result has been carried out in MATLAB. The proposed model consumes low energy and reduces interference in the presence of one interferer, two interferer and multiple interferers.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akyildiz, I.F., Su, W., Sankaransubramaniam, Y., Cayirci, E.: Wireless sensor network: a survey. Comput. Netw. 38(4), 393–422 (2002)

    Article  Google Scholar 

  2. Demirkol, I., Ersoy, C., Alagoz, F.: MAC protocols for wireless sensor networks: a survey. IEEE Commun. Mag. 44(4), 115–121 (2006)

    Article  Google Scholar 

  3. Ma, J., Lou, W., Wu, Y., Li, X., Chen, G.: Energy efficient TDMA sleep scheduling in wireless sensor network. In: Proceedings of IEEE Infocom, pp. 630–638 (2009)

    Google Scholar 

  4. Wang, W., Wang, H., Peng, D., Sarif, H.: An energy efficient pre-scheduling for hybrid CSMA/TDMA in wireless sensor network. In: 10th IEEE Singapore International Conference on Communication Systems, pp. 1–5 (2006)

    Google Scholar 

  5. Wang, W., Wang, Y., Li, X.Y., Song, W.Z., Frieder, O.: Efficient interference-aware TDMA link scheduling for static wireless networks. In: MOBICOM, pp. 262–273 (2006)

    Google Scholar 

  6. Lu, G., Krishnamachari, B.: Energy efficient joint scheduling and power control for wireless sensor network. In: 2nd Annual Conference on Sensor and Ad Hoc Communications and Networks, pp. 362–373. IEEE (2005)

    Google Scholar 

  7. Fang, L., Bi, G., Kot, A.C.: New method of performance analysis for diversity reception with correlated Rayleigh-fading signals. IEEE Trans. Veh. Technol. 49(5), 1807–1812 (2000)

    Article  Google Scholar 

  8. Pantazis, N.A., Vergadosb, D.J., Vergados, D.D., Douligeris, C.: Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling. Ad Hoc Netw. 7(2), 322–343 (2008)

    Article  Google Scholar 

  9. Miao, G., Himayat, N., Li, G.Y., Koc, A.T., Talwar, S.: Interference-aware energy-efficient power optimization. In: Proceedings of IEEE ICC, pp. 1–5 (2009)

    Google Scholar 

  10. Ergen, S.C., Varaiya, P.: TDMA scheduling algorithms for wireless sensor network. Wirel. Netw. 16(4), 985–997 (2010)

    Article  Google Scholar 

  11. Sowerby, K.W., Williamson, A.G.: Outage probability calculation for a mobile radio system having multiple Rayleigh fading multiple Rayleigh interferers. IEEE Electron. Lett. 23(11), 600–601 (1987)

    Article  Google Scholar 

  12. Kumar, S., Lobiyal, D.K.: Impact of interference on coverage in wireless sensor networks. Wirel. Pers. Commun. 74(2), 683–701 (2014)

    Article  Google Scholar 

  13. Heinzelman, W.: Application-Specific Protocol Architectures for Wireless Networks. Ph.D. thesis, Massachusetts Institute of Technology (2000)

    Google Scholar 

  14. Farhan, L., Kharel, R., Kaiwartya, O., Hammoudeh, M., Adebisi, B.: Towards green computing for Internet of Things: energy oriented path and message scheduling approach. Sustain. Cities Soc. 38, 195–204 (2018)

    Article  Google Scholar 

  15. Kumar, K., Kumar, S., Kaiwartya, O., Cao, Y., Lloret, J., Aslam, N.: Cross-layer energy optimization for IoT environments: technical advances and opportunities. Energies 10(12), 2073 (2017)

    Article  Google Scholar 

  16. Ullah, F., Abdullah, A.H., Kaiwartya, O., Lloret, J., Arshad, M.M.: EETP-MAC: energy efficient traffic prioritization for medium access control in wireless body area networks. Telecommun. Syst., 1–23 (2017). (Online published)

    Google Scholar 

  17. Zahhad, M., Ahmed, S., Sabor, N., Sasaki, S.: Mobile sink- based adaptive immune energy – efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks. IEEE Sens. J. 15(18), 4576–4585 (2015)

    Article  Google Scholar 

  18. Kaiwartya, O., Kumar, S., Abdullah, A.H.: Analytical model of deployment methods for application of sensors in non hostile environment. Wirel. Pers. Commun. 97(1), 1517–1536 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, G.L. Bajaj Institute of Technology and Management, Greater Noida, 201306, India

    Ajay Sikandar & Manoj Kumar Tyagi

  2. Jawaharlal Nehru University, New Delhi, 110067, India

    Sushil Kumar

  3. Northern India Engineering College, New Delhi, India

    Prashant Singh

  4. Department of Computer Science, G.L. Bajaj Institute of Technology and Management, Greater Noida, India

    Durgesh Kumar

Authors
  1. Ajay Sikandar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sushil Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Prashant Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Manoj Kumar Tyagi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Durgesh Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ajay Sikandar .

Editor information

Editors and Affiliations

  1. Ministry of Skill Development, Delhi, India

    Ganesh Chandra Deka

  2. School of Science and Technology, Nottingham Trent University, Nottingham, UK

    Omprakash Kaiwartya

  3. Department of Computer Science, Shyama Prasad Mukherji College, University of Delhi, Delhi, India

    Pooja Vashisth

  4. Department of Computer Science, North Campus, University of Delhi, Delhi, India

    Priyanka Rathee

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sikandar, A., Kumar, S., Singh, P., Tyagi, M.K., Kumar, D. (2018). Energy Efficient Transmission in the Presence of Interference for Wireless Sensor Networks. In: Deka, G., Kaiwartya, O., Vashisth, P., Rathee, P. (eds) Applications of Computing and Communication Technologies. ICACCT 2018. Communications in Computer and Information Science, vol 899. Springer, Singapore. https://doi.org/10.1007/978-981-13-2035-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-2035-4_6

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2034-7

  • Online ISBN: 978-981-13-2035-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation