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Power Consumption Optimization Based on B-MAC Protocol for Multi-Scenario WSN by Taguchi Method

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Recent Trends in Information and Communication Technology (IRICT 2017)

Abstract

Wireless sensor network (WSN) is exploited in diverse applications. Further, the variety of WSN applications it let the door open for researchers to deal with WSN challenges. However, the critical issue faced WSN is the prolong lifetime of sensor nodes. Additionally, the topology of a wireless sensor network often changes frequently due to node failure, damage, addition, movement, and energy depletion which effect change in the network topology lead to a multi-scenario network. This paper aimed to study the effect of multi-scenario on the MAC protocol WSN for energy efficiency. The proposed method is based on Taguchi method. Further, Berkeley-MAC (B-MAC) protocol parameters are optimized for different WSN scenarios. Moreover, simulation experiments are carried out by OMNET++ to prove the work in this paper. The obtained results show that Taguchi B-MAC optimizing reduces the power consumption of WSN for a multi-scenario network.

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References

  1. Swain, R.R., Mishra, S., Samal, T.K., Kabat, M.R.: An energy efficient advertisement based multichannel distributed MAC protocol for wireless sensor networks. Wireless Pers. Commun. (2016)

    Google Scholar 

  2. Zeng, Y., Xu, L., Chen, Z.: Fault-tolerant algorithms for connectivity restoration in wireless sensor networks. Sensor (2016)

    Google Scholar 

  3. Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks (2004)

    Google Scholar 

  4. Kamal, A., Warip, M.N.M., Elshaikh, M., Badlishah, R.: Power consumption optimization analysis based on Berkeley-MAC protocol using Taguchi and ANOVA methods. J. Theor. Appl. Inf. Technol. 88(2), 295–302 (2016)

    Google Scholar 

  5. Meshram, P., Nimbalkar, M.V.: A survey on “energy efficient MAC protocols with differentiation in traffic for wireless sensor networks”. Int. J. Sci. Res. 5(7), 2015–2017 (2016)

    Google Scholar 

  6. Kavita, Kirti: Energy Efficient MAC protocols for wireless sensor networks: a survey. 3(2), 20–24 (2016)

    Google Scholar 

  7. Segun, A., Akinwunmi, A.O., Ogunti, E.O.: A survey of medium access control protocols in wireless sensor network. Int. J. Comput. Appl. 116(22), 1–8 (2015)

    Google Scholar 

  8. Balobaid, A.: A survey and comparative study on different energy efficient MAC-protocols for wireless sensor networks, pp. 321–326 (2016)

    Google Scholar 

  9. Ghanim, A.N.: Application of Taguchi method for electro-fenton degradation of SDBS anionic surfactant. Global NEST J. 18(1), 79–88 (2016)

    Google Scholar 

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Correspondence to Alaa Kamal .

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Kamal, A., Warip, M.N.M., Omar, N., Elshikh, M., Jusoh, M., Lynn, O.B. (2018). Power Consumption Optimization Based on B-MAC Protocol for Multi-Scenario WSN by Taguchi Method. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (eds) Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-59427-9_23

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  • DOI: https://doi.org/10.1007/978-3-319-59427-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59426-2

  • Online ISBN: 978-3-319-59427-9

  • eBook Packages: EngineeringEngineering (R0)

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