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End-to-End Delay Analyses via LER in Wireless Sensor Networks

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 172))

Abstract

Virtual lives of present generation peoples are facing lack of green environmental and good health condition. Emerging developmental applications of Wireless Sensor Networks (WSNs) is the most necessary thing to deploy and monitor our physical world like disaster, agriculture and healthcare. For the most challenging characteristics of WSN facing energy drain out, unlike to easy or possible to replace the battery of WSN and also an end-to-end performance of reliability of data communication due to delay. Through this work made an analysis of IEEE 805.15.4 MAC with changing routing direction. Moreover, considering the CSMA/CA MAC with Redundant Radix Based Number size communication (RRBNs) system. Added to multi-hop networks with novel based routing schemes of Low Energy Routing (LER) direction. In particular, a various load condition of networks determine different performance regarding the delay, energy consumption and reliability of communication links. Finally, determine the network equations based on Markov chain model and communicating the data via RRBNs communication system and also finding the solution at critical condition for various load distribution of the WSNs.

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References

  1. Daraghma, S.M., Nuray, A.T.: A new energy efficient clustering based protocol for heterogeneous wireless sensor networks. J. Electr. Electron. Syst. 4(3), 1–7 (2015)

    Google Scholar 

  2. Erol-kantarci, M., Al-Anbagi, I., Mouftah Hussein, T.: Priority- and delay- aware medium access for wireless sensor networks in the smart grid. IEEE Syst. J. 1–11 (2013)

    Google Scholar 

  3. Pradhumna, L., et al.: Modeling latency and reliability of hybrid technology networking. IEEE Sens. J. 13(10), 3616–3623 (2013)

    Article  Google Scholar 

  4. Liet, J.-W., et al.: Analytical model for coding-based reprogramming protocols in lossy wireless sensor networks. IEEE Trans. Comput. 66(1), 24–37 (2017)

    Article  MathSciNet  Google Scholar 

  5. Chiasserini, C.F., Garetto, M.: An analytical model for wireless sensor networks with sleeping nodes. IEEE Trans. Mob. Comput. 5(12), 1706–1718 (2006)

    Google Scholar 

  6. Qu, Y., et al.: Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE J. Sel. Topics Appl. Earth Observations Remote Sens. 7(2), 431–444 (2014)

    Article  Google Scholar 

  7. Fredrick, A., et al.: An analytical model for bounded WSNs with unreliable cluster heads and links. In: 40th Annual IEEE Conference on Local Computer Networks, pp. 201–204. Florida, USA (2015)

    Google Scholar 

  8. Le, T.N., et al.: Improving energy efficiency of mobile WSN using reconfigurable directional antennas. IEEE Commun. Lett. 20(6), 1243–1246 (2016)

    Article  Google Scholar 

  9. Gao, Y., et al.: COPE: improving energy efficiency with coded preambles in low—power sensor networks. IEEE Trans. Ind. Inf. 11(6), 1621–1630 (2015)

    Article  Google Scholar 

  10. Shanthi, C., Shahoo, A.: DGRAM: a delay guaranteed routing and MAC protocol for wireless sensor networks. IEEE Trans. Mob. Comput. 9(10), 1407–1423 (2010)

    Google Scholar 

  11. Lu, C., He, T., Stankovic, J.A., Abdelzaher, T.: SPEED: a stateless protocol for real-time communication in sensor networks. In: IEEE International Conference of Distributed Computing Systems (46) (2003)

    Google Scholar 

  12. Ekici, E., Felemban, E., Lee, C.G.: MMSPEED: Multipath Multi-SPEED Protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans. Mob. Comput. 5(6), 738–754 (2006)

    Article  Google Scholar 

  13. Estrinb, D., Ye, W., Heidemann, J.: Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Trans. Netw. 13(3), 493–506 (2004)

    Google Scholar 

  14. He, C., Zhang, Y., Jiang, L.: Performance analysis of S-MAC protocol under unsaturated conditions. IEEE Commun. Lett. 12(3), 210–212 (2008)

    Google Scholar 

  15. Martinez-Bauset, J., Lakshmikanth, G., Li Frank, Y.: Performance analysis of synchronous duty-cycled MAC protocols. IEEE Wirel. Commun. Lett. 4(5), 469–472 (2015)

    Google Scholar 

  16. Andrew Wang, Y., Charles Sodini, G.: On the energy efficiency of wireless transceivers. IEEE ICC Proceedings, pp. 3783–3788 (2006)

    Google Scholar 

  17. Zhao, Q., et al.: Resurce constrained signal processing communications and networking. IEEE Sign. Process. Mag. 24(3), 12–14 (2007)

    Article  Google Scholar 

  18. Sinha, K.: An energy efficient communication scheme for applications based on low power wireless networks. In: IEEE Consumer Communications and Networking Conference (2009)

    Google Scholar 

Download references

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Correspondence to K. Ramesh .

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Ramesh, K., Kannan, V. (2020). End-to-End Delay Analyses via LER in Wireless Sensor Networks. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_20

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