Research on Payload Aggregation of Packets in WSNs

Ákos Milánkovich, Gergely Ill, Károly Lendvai, Sándor Imre, Sándor Szabó

2015

Abstract

Creating wireless sensor networks requires a different approach than traditional communication networks because energy efficiency plays a key role in sensor networks, which consist of devices without external power. The amount of energy used determines the lifetime of these devices. In most cases data packets are less sensitive to delay, thus can be aggregated, making it possible to gather more useful information reducing the energy required to transmit information. This article discusses the energy efficiency of different Forward Error Correction algorithms and presents a method to calculate the optimal amount of aggregation of the data packets in terms of power consumption, while taking into account the Bit Error Rate characteristics of the wireless channel. The contribution of this paper is a general method to improve the energy efficiency of wireless sensor networks by using the optimal amount of aggregation in case of different FEC codes and channel characteristics. The presented results can be applied to any packet-based wireless protocol.

References

  1. Atmel, 2013. 8/16-bit XMEGA A3 Microcontroller. pp.1- 134.
  2. Balakrishnan, G. et al., 2007. Performance Analysis of Error Control Codes for Wireless Sensor Networks, IEEE.
  3. Bose, R.C. and Ray-Chaudhuri, D.K., 1959. Further results on error correcting binary group codes. Information and Control, 3(3), pp.279-290.
  4. Etzion, T. and Vardy, A., 1994. Perfect binary codes: constructions, properties, and enumeration. IEEE Transactions on Information Theory, 40(3), pp.754- 763.
  5. Fossorier, M.P.C., Lin, S. and Snyders, J., 1998. Reliability-based syndrome decoding of linear block codes. IEEE Transactions on Information Theory, 44(1), pp.388-398.
  6. Galluccio, L. and Palazzo, S., 2009. End-to-End Delay and Network Lifetime Analysis in a Wireless Sensor Network Performing Data Aggregation. GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, pp.1-6.
  7. Geibig, J. and Bradler, D., 2010. Self-organized aggregation in irregular wireless networks. Wireless Days (WD), 2010 IFIP, pp.1-7.
  8. Kumar, P. and Jayakumar, M., 2010. Comparison of Bit Error Rate for Propagation Mechanisms of Millimeter Waves in a Practical Communication Systems Employing PSK and FSK. PIERS Proceedings, pp.292-295.
  9. Lendvai, K. et al., 2013. Optimized packet size for energy efficient delay-tolerant sensor networks with FEC, IEEE.
  10. Lendvai, K. et al., 2012. Optimized packet size for energy efficient delay-tolerant sensor networks. In Wireless and Mobile Computing, Networking and Communications WiMob, IEEE th International Conference on. Barcelona: IEEE, pp. 19-25.
  11. Lin, S. and Costello, D.J., 2004. Error Control Coding, Prentice Hall.
  12. Sankarasubramaniam, Y., Akyildiz, I.F. and McLaughlin, S.W., 2003. Energy efficiency based packet size optimization in wireless sensor networks. In Sensor Network Protocols and Applications, 2003. Proceedings of the First IEEE. 2003 IEEE International Workshop on. IEEE, pp. 1-8.
  13. Sarwate, D.V. and Shanbhag, N.R., 2001. High-speed architectures for Reed-Solomon decoders. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 9(5), pp.641-655.
  14. Texas Instruments, Incorporated, 2014. CC1101 LowPower Sub-1 GHz RF Transceiver (Rev. I), Available at: http://www.ti.com/lit/ds/symlink/cc1101.pdf.
  15. Tian, Z., Yuan, D. and Liang, Q., 2008. Energy Efficiency Analysis of Error Control Schemes in Wireless Sensor Networks, IEEE.
  16. Vuran, M.C. and Akyildiz, I.F., 2006. Cross-Layer Analysis of Error Control in Wireless Sensor Networks, IEEE.
  17. Vuran, M.C. and Akyildiz, I.F., 2008. Cross-Layer Packet Size Optimization for Wireless Terrestrial, Underwater, and Underground Sensor Networks. IEEE INFOCOM 2008 - IEEE Conference on Computer Communications, pp.1-9.
  18. Wei, D. and Chan, H.A., 2006. Clustering Ad Hoc Networks: Schemes and Classifications, IEEE.
  19. Wicker, S.B. et al., 1994. Reed-Solomon codes and their applications, Inst of Electrical and.
  20. Yen, H.-H., 2008. Optimization-based channel constrained data aggregation routing algorithms in multi-radio wireless sensor networks. Sensors, 9(6), pp.4766- 4788.
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Paper Citation


in Harvard Style

Milánkovich Á., Ill G., Lendvai K., Imre S. and Szabó S. (2015). Research on Payload Aggregation of Packets in WSNs . In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, pages 187-194. DOI: 10.5220/0005328101870194


in Bibtex Style

@conference{sensornets15,
author={Ákos Milánkovich and Gergely Ill and Károly Lendvai and Sándor Imre and Sándor Szabó},
title={Research on Payload Aggregation of Packets in WSNs},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2015},
pages={187-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005328101870194},
isbn={978-989-758-086-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Research on Payload Aggregation of Packets in WSNs
SN - 978-989-758-086-4
AU - Milánkovich Á.
AU - Ill G.
AU - Lendvai K.
AU - Imre S.
AU - Szabó S.
PY - 2015
SP - 187
EP - 194
DO - 10.5220/0005328101870194