Skip to main content

Advertisement

SpringerLink
Log in

CEMulti-core Architecture for Optimization of Energy over Heterogeneous Environment with High Performance Smart Sensor Devices

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Nowadays, it is unusual for an electronic system to be without sensors, thus sensing plays an important part in everyday life. To this, the field of image processing is an added advantage as it stores image data and makes it readily available for parallel processing. The wireless sensor nodes over heterogeneous networks exhibit radio communication always with highest energy consumption. Multicore processors are more suitable for real time applications compared to traditional modern microcontrollers of sensor nodes in terms of improvement in their energy consumption rate. To significantly reduce the energy consumption, the usage of off-the-shelf low power microcontroller with appropriate processing core has to be considered. The proposed CEMulti-core architecture incorporated with the MIPS single core processor and multicore processor is simulated and the experimental results are compared and analyzed for their speedup, clock cycles and the time required for execution. Thus enabling the sensor node over heterogeneous networks to process large sized images with increase in energy efficiency.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  1. Munir, A., Gordon, A., & Ranka, S. (2014). Multi-core embedded wireless sensor networks architecture and applications. Parallel Distributed Systems, 25(6), 1553–1562.

    Article  Google Scholar 

  2. Lan, Y., Xiuli, C., & Meng, W. (2009). An energy balanced clustering routing algorithm for wireless sensor networks (pp. 316–320). San Francisco: World Congress on Computer Science and Information Engineering.

    Google Scholar 

  3. Sheik, A. K., Ali, H., & Lewis, T. (1995). Designed the multicore processor for industrial applications. Journal of Computer, 28, 27–37.

    Google Scholar 

  4. Talal, M., & Abdullah, M. D. (2007). Survey on task scheduling for multicore systems. IEEE Community, 2(11), 142–147.

    Google Scholar 

  5. Hempstead, M. D. (2009) Accelerator-based architectures for wireless sensor network applications.

  6. Tuah, N., Ismail, M., & Jumari, K. (2012). Energy efficient improvement for heterogeneous wireless sensor networks. London: Open Access Publisher.

    Google Scholar 

  7. Anastasi, Giuseppe, Conti, Marco, & Di Francesco, Mario. (2009). Energy conservation in wireless sensor networks: A survey. Journal of Ad Hoc Networks, 7(3), 537–568.

    Article  Google Scholar 

  8. Raghunathan, V., Ganeriwal, S., & Srivastava, M. (2006). Emerging techniques for long lived wireless sensor networks. IEEE Communications, 44(4), 108–114.

    Article  Google Scholar 

  9. Ansari, J., Pankin, D. (2008). Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. In 5th European conference on wireless sensor networks, Italy.

  10. Armstrong, T. Wake-up based power management in multi-hop wireless networks. http://www.eecg.toronto.edu/~trevor/Wakeup/ index.html.

  11. Cui, W., Meng, X., Yang, B., et al. (2017). An efficient lossy link localization approach for wireless sensor networks. Frontiers of Information Technology & Electronic Engineering, 18, 689. https://doi.org/10.1631/FITEE.1601247.

    Article  Google Scholar 

  12. Chen, J., Yatskiv, V., Sachenko, A., et al. (2017). Wireless sensor networks based on modular arithmetic. Radioelectronics and Communications Systems, 60, 215. https://doi.org/10.3103/S073527271705003X.

    Article  Google Scholar 

  13. Pati, B., Sarkar, J. L., & Panigrahi, C. R. (2017). ECS: an energy-efficient approach to select cluster-head in wireless sensor networks. Arabian Journal for Science and Engineering, 42, 669. https://doi.org/10.1007/s13369-016-2304-2.

    Article  MathSciNet  MATH  Google Scholar 

  14. Zhu, L., Yao, C., & Wang, L. (2018). Optimal energy efficiency distributed relay decision in UAV swarms. Wireless Personal Communications. https://doi.org/10.1007/s11277-018-5321-5.

    Article  Google Scholar 

  15. Parameswari, M., & Sasilatha, T. (2017). Cross-layer based error control technique for WSN with modified relay node selection and corruption aware method. Wireless Personal Communications. https://doi.org/10.1007/s11277-017-5121-3.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India

    A. Suresh & A. Reyana

  2. Department of Electronics and Communication Engineering, Sri Ramanujar Engineering College, Chennai, India

    R. Varatharajan

Authors
  1. A. Suresh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Reyana
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Varatharajan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. Varatharajan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Suresh, A., Reyana, A. & Varatharajan, R. CEMulti-core Architecture for Optimization of Energy over Heterogeneous Environment with High Performance Smart Sensor Devices. Wireless Pers Commun 103, 1239–1252 (2018). https://doi.org/10.1007/s11277-018-5504-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5504-0

Keywords

Search

Navigation