ACNM: advance coupling network model sleep/awake mechanism for wireless sensor networks

  • Authors

    • Habibulla Mohammad
    • A S. Chandrasekhara Sastry
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.9851
  • Energy Efficient, Coupling Network, Base Station, Sleep, Awake.
  • Wireless Sensor Network (WSN) has attracted many researchers due to its abilities in monitoring remote locations. To gather physical data, such as temperature, humidity, and so on WSNs are utilized. To fulfill the strict constraints like energy consumption and network performance, ongoing wireless sensor networks requires efficient methodologies and practices. The major concern in wireless networks is how to conserve the nodes energy so that network lifespan can be prolonging significantly. The research work focuses on ACNM-DEC (Advance Coupling Network Model-Deterministic Energy-efficient Clustering) protocol i.e. enhancing DEC protocol with sleep awake(S-A) mechanism to utilize energy efficiently. The technique sleep-awake is implemented by simply coupling nodes which are at nearer to one another. The nodes which are paired will switch in two modes i.e. Idle (sleep) and busy (awake). Sleep/wake scheduling is an essential consideration in sensor network applications. Finding an optimal sleep/wake scheduling strategy that would minimize computation and communication overhead, be resilient to node failures, and provide high-quality data service is extremely challenging. In this paper, we present and compare several state-of-the-art algorithms and techniques that aim to address the sleep/wake scheduling issue, which are divided into distributed and centralized manners. The obtained results of the simulation prove that the lifespan of the communication model has been extended in terms of its performance, good energy utility and data transmission.

  • References

    1. [1] Heinzelman, W.B., A.P. Chandrakasan, and H. Balakrishnan, application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 2002. 1(4): p. 660-670. https://doi.org/10.1109/TWC.2002.804190.

      [2] Islam, M.M., M.A. Matin, and T.K. Mondol. Extended Stable Election Protocol (SEP) for three-level hierarchical clustered heterogeneous WSN. In IET Conference on Wireless Sensor Systems (WSS 2012). 2012. https://doi.org/10.1049/cp.2012.0595.

      [3] Younis, O. and S. Fahmy, HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 2004. 3(4): p. 366-379. https://doi.org/10.1109/TMC.2004.41.

      [4] Aliouat, Z. and S. Harous. An efficient clustering protocol increasing wireless sensor networks life time. In2012 International Conference on Innovations in Information Technology (IIT). 2012 https://doi.org/10.1109/INNOVATIONS.2012.6207730.

      [5] Seema, B. and E.J. Coyle. An energy efficient hierarchical clustering algorithm for wireless sensor networks. inIEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428). 2003.

      [6] HabibullaMohammad, A.S.Chandrasekhara Sastry, Implementation of C-DEC Protocol along with sectorization concept for wireless sensor networks. Journal of Advanced Research in Dynamical and Control Systems, Vol 9.Sp-18/2017: p. 223-234.

      [7] Aderohunmu, F.A., J.D. Deng, and M.K. Purvis. A deterministic energy-efficient clustering protocol for wireless sensor networks. In2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing. 2011. https://doi.org/10.1109/ISSNIP.2011.6146592.

      [8] Chengfa, L., et al. An energy-efficient unequal clustering mechanism for wireless sensor networks. inIEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005. 2005.

      [9] Wu, X., et al. Distributed spatial-temporal compressive data gathering for large-scale WSNs. in 2013 Computing, Communications and IT Applications Conference (ComComAp). 2013.

      [10] Zhang, H., H. Shen, and Y. Tan. Optimal Energy Balanced Data Gathering in Wireless Sensor Networks. In2007 IEEE International Parallel and Distributed Processing Symposium. 2007. https://doi.org/10.1109/IPDPS.2007.370248.

      [11] Seung Jun, B., V. Gustavo de, and S. Xun, Minimizing energy consumption in large-scale sensor networks through distributed data compression and hierarchical aggregation. IEEE Journal on Selected Areas in Communications, 2004. 22(6): p. 1130-1140. https://doi.org/10.1109/JSAC.2004.830934.

      [12] Yan, J., M. Zhou, and Z. Ding, Recent Advances in Energy-Efficient Routing Protocols for Wireless Sensor Networks: A Review. IEEE Access, 2016. 4: p. 5673-5686. https://doi.org/10.1109/ACCESS.2016.2598719.

      [13] Xu, G., et al. An Energy-Driven Adaptive Cluster-Head Rotation Algorithm for Cognitive Radio Network. In2010 First International Conference on Pervasive Computing, Signal Processing and Applications. 2010. https://doi.org/10.1109/PCSPA.2010.42.

      [14] Aderohunmu, F., J.D. Deng, and M. Purvis. Optimization of Energy-efficient Protocols with Energy-heterogeneity for Coverage Preservation in Wireless Sensor Networks: An Empirical Study. In2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems. 2012.

      [15] Huang, J., Q. Xie, and B. Huang. Creating Small-World Model for Homogeneous Wireless Sensor Networks. in2012 8th International Conference on Wireless Communications, Networking and Mobile Computing. 2012.

      [16] Guo, J. and H. Jafarkhani. Sensor Deployment in Heterogeneous Wireless Sensor Networks. In 2016 IEEE Global Communications Conference (GLOBECOM). 2016. https://doi.org/10.1109/GLOCOM.2016.7842261.

      [17] T. Shah, N. Javaid,T. N. Qureshi.Energy Efficient Sleep Awake Aware (EESAA) intelligent Sensor Network routing protocol in 201215th International Multitopic Conference (INMIC) Y1 - 13-15 Dec. 2012

      [18] Ben-Othman, J., H. Castel, and L. Mokdad, A multi-service MAC protocol in a multi-channel CSMA/CA for IEEE 802.11 networks. Journal of Communications and Networks, 2008. 10(3): p. 287-296.https://doi.org/10.1109/JCN.2008.6388349.

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    Mohammad, H., & S. Chandrasekhara Sastry, A. (2017). ACNM: advance coupling network model sleep/awake mechanism for wireless sensor networks. International Journal of Engineering & Technology, 7(1.1), 350-354. https://doi.org/10.14419/ijet.v7i1.1.9851