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Review of Energy Conservation Using Duty Cycling Schemes for IEEE 802.15.4 Wireless Sensor Network (WSN)

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Abstract

Energy conservation is one of the crucial issues in wireless sensor network (WSN). A significant solution to conserve energy is done by deploying duty cycle management mechanisms in the WSN applications. This paper reviews several duty cycle mechanisms in WSN such as Duty Cycle Learning Algorithm, adaptive media access control (MAC) protocol for efficient IEEE 802.15.4 (AMPE), distributed duty cycle management (DDCM), distributed duty cycle management low power broadcast (DDCM + LPB) and distributed beacon only period. These mechanisms change their parameters such as idle listening, packet accumulation and delay in the end device transmitting queue to improve the energy conservation in WSN. The performances of these different energy conservation mechanisms have been compared at the MAC layer of IEEE 802.15.4 standard. It is found that the DDCM + LPB has made approximately 100 % enhancement in terms of average energy efficiency as compared to the other mechanisms. DDCM + LPB has significant enhancements by adapting the duty cycle according to the network traffic load condition. Using this mechanism, the duty cycle is increased when the traffic load increases and vice versa. Its energy efficiency also outperforms the conventional DDCM by the average of 10 %.

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References

  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Journal Computer Networks, 38, 393–422.

    Article  Google Scholar 

  2. Hamdi, M., Boudriga, N., & Obaidat, M. S. (2007). WHOMoVeS\_an optimized broadband sensor network for military vehicle tracking. International Journal Of Communication Systems, 21, 277–300.

    Google Scholar 

  3. Kung, H. Y., Hua, J. S., & Chen, C. T. (2006). Drought forecast model and framework using wireless sensor networks. Journal of Information Science and Engineering, 22, 751–769.

    Google Scholar 

  4. Lee, R. G., Lai, C. C., Chiang, S. S., Liu, H. S., Chen, C. C., & Hsieh, G. Y. (2006). Design and implementation of a mobile-care system over wireless sensor network for home healthcare applications. In Proceedings of the 28th IEEE EMBS annual international conference (pp. 6004–6007). New York City.

  5. Tsou, Y. P., Hsieh, J. W., Lin, C. T., & Chen, C. Y. (2006). Building a remote supervisory control network system for smart home applications. In 2006 IEEE international conference on systems, man, and cybernetics (pp. 1926–1830). Taiwan.

  6. Garcia, L. R., Lunadei, L. Barreiro, P., & Robla, J. I. (2009). A review of wireless sensor technologies and applications in agriculture and food industry: State of the art and current trends. Journal of Sensors, 9, 4728–4750.

    Google Scholar 

  7. Salleh, M. N., & Rasid, M. F. A. (2010). Ubiquitous ponds sensing and proactive precision aquaculture farming. In Proceedings of world engineering congress 2010 conference on electrical and electronic technology (pp. 275–282). Sarawak, Malaysia.

  8. Ali, M., Abdullah, R. R. S. A., AbdulKadir, N. A., Musa, W., Rasid, M. F. A., Saripan, M. I., et al. (2010). Field trial of WSN based slope monitoring in Malaysia. In Proceedings of world engineering congress 2010 conference on electrical and electronic technology (pp. 68–72). Sarawak, Malaysia.

  9. Charfi, F., & Mohamed Bouyahi, M. (2012). Performance evaluation of Beacon-enabled IEEE 802.15.4 under NS2. International Journal of Distributed and Parallel Systems (IJDPS), 3(2), 67–79.

    Google Scholar 

  10. Alberola, R. D., & Pesch, D. (2012). Duty cycle learning algorithm (DCLA) for IEEE 802.15.4 beacon-enabled wireless sensor networks. Nimbus centre for embedded systems research, Cork Institute of Technology, Rossa Avenue, Cork, Ireland. Ad Hoc Networks, 10, 664–679.

  11. Yoo, H., Shim, M., & Kim, D. (2012). Dynamic duty-cycle scheduling schemes for energy-harvesting wireless sensor networks. In IEEE communication letters (Vol. 16, No. 2). Kyungpook National University, Korea, IEEE.

  12. Jiang, B., Ravindran, B., & Cho, H. (2012). Probability-based prediction and sleep scheduling for energy efficient target tracking in sensor networks. Journal of Latex Class Files, 6(1). IEEE Transaction on Mobile, Computing.

  13. Chung, Y. W., & Hwang, H. Y. (2010). Modeling and analysis of energy conservation scheme based on duty cycling in wireless ad hoc sensor network. Journal of Sensors, Korea and Canada, 10, 5569–5589.

    Google Scholar 

  14. Hu, Q., & Tang, Z. (2011). ATPM: An energy efficient MAC protocol with adaptive transmit power scheme for wireless sensor networks. Journal of Multimedia, 6(2), 122–128.

    Google Scholar 

  15. Ghidini, G., & Das, S. K. (2011). An energy-efficient Markov chain-based randomized duty cycling scheme for wireless sensor networks. In 31st International conference on distributed computing systems, IEEE, USA.

  16. Barbieri, A., Chiti, F., & Fantacci, R. (2006). Proposal of an adaptive MAC protocol for efficient IEEE 802.15.4 low power communications. In IEEE communications society subject matter experts for publication in the IEEE GLOBECOM 2006 proceedings.

  17. De Paz Alberola, R., Villaverde, B. C., & Pesch, D. (2011). Distributed duty cycle management (DDCM) for IEEE 802.15.4 Beacon-enabled wireless mesh sensor networks. In Proceedings of the IEEE international conference on mobile ad-hoc and sensor systems (pp. 721–726).

  18. Villaverde, B. C., De PazAlberola, R., Rea, S., & Pesch, D. (2010). Experimental evaluation of Beacon scheduling mechanisms for multihop IEEE 802.15.4 WSN. In 4th International conference on sensor technologies and applications (pp. 226–231).

  19. Fan, G. J., & Jin. S. Y. (2010). Coverage problem in wireless sensor network: A survey. Journal of Networks, 5(9), 1033–1040.

    Google Scholar 

  20. Alkhatib, A., & Baicher, G. S. (2012). An overview of wireless sensor networks. In 2012 International conference on computer networks and communication systems, (CNCS 2012) IPCSIT (Vol. 35). Singapore: IACSIT Press.

  21. Sharma, K., & Ghose, M. K. (2010). Wireless sensor networks: An overview on its security threats. IJCA Special Issue on Mobile Ad-hoc Networks, MANETs, India.

  22. Anastasi, G., Conti, M., & Francesco, M. D. (2009). The MAC unreliability problem in IEEE 802.15.4 wireless sensor networks, MSWiM’09, October 26–29, 2009, Copyright 2009 ACM 978–1-60558-616-8/09/10...\({\$}\)10.00, Tenerife, Canary Islands, Spain.

  23. Dargie, W., & Poellabauer, C. (2010). Fundamentals of wireless sensor networks: Theory and practice (pp. 168–183). Wiley. ISBN 978-0-470-99765-9, 191-192.

  24. Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless sensor networks: Technology, protocols, and applications (pp. 203–209). Wiley. ISBN 978-0-471-74300-2.

  25. Dahham, Z., Sali, A., Ali, B. M., & Jahan, M. S. (2011). An efficient CSMA-CA algorithm for IEEE 802.15.4 wireless sensor networks. 1st International symposium on telecommunication technologies (ISTT), Malaysia.

  26. Buratti, C., & Roberto Verdone, R. (2009). “Performance Analysis of IEEE 802.15.4 Non Beacon-Enabled Mode”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 7, SEPTEMBER 2009, Bologna, Italy.

  27. Nefzi, B., Khan, D., & Song, Y. (2012). TBoPS: A tree based distributed Beacon only period scheduling mechanism for IEEE 802.15.4. In IEEE workshop WiSARN, in conjunction with IEEE 8th international conference on distributed computing in sensor systems (pp. 341–346). Vandoeuvre-Les-Nancy Cedex, France (DCOSS2012).

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Correspondence to Arafat A. A. Shabaneh.

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Shabaneh, A.A.A., Ali, A.M., Ng, C.K. et al. Review of Energy Conservation Using Duty Cycling Schemes for IEEE 802.15.4 Wireless Sensor Network (WSN). Wireless Pers Commun 77, 589–604 (2014). https://doi.org/10.1007/s11277-013-1524-y

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  • DOI: https://doi.org/10.1007/s11277-013-1524-y

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