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TDMA Based Low Energy Consuming MAC Protocol for Wireless Sensor Networks in Environmental Monitoring Applications

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Advances in Parallel Distributed Computing (PDCTA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 203))

Abstract

Environmental monitoring applications need tiny sensor nodes randomly embedded in the target area. As the wireless Sensor Networks are made up of tiny energy hungry sensor nodes, it is a challenging process to retain the energy level of those nodes for a long period. They are equipped with limited computing and radio communication capabilities. This work is on the attempt to reduce the power consumption of nodes , by concentrating on the radio, which has four states of operations at various time intervals .

A proper sleep/wake up scheduling, when applied over these radios, can reduce the overall energy consumption of the Wireless Sensor Network minimally. The scheduling protocol used in this work is a TDMA based MAC protocol. When implemented in a simulated WSN, it reduces the energy consumption of the previously existing protocol and hence it proves to be efficient, when compared with other scheduling protocols.

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References

  1. Merlin, C.J., Heinzelman, W.B.: Schedule Adaptation of Low-Power-Listening Protocols for Wireless Sensor Networks. IEEE Transactions on Mobile Computing 9(5), 672–685 (2010), doi:10.1109/TMC.2009.153.

    Article  Google Scholar 

  2. Yao, Y., Giannakis, G.B.: Energy-Efficient Scheduling Protocols for Wireless Sensor Networks. IEEE Trans. on Commun. 51(8), 1389–1398 (2005)

    Google Scholar 

  3. Ghosh, S., Veeraraghavan, P., Singh, S., Zhang, L.: Performance of a Wireless Sensor Network MAC Protocol with a Global Sleep Schedule. International Journal of Multimedia and Ubiquitous Engineering 4(2) (April 2009)

    Google Scholar 

  4. Pantazis, N.A., Vergados, D.J., Vergados, D.D., Douligeris, C.: Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling. Ad Hoc Networks 7(2), 322–343 (2009), Science Direct

    Article  Google Scholar 

  5. Chamam, A., Pierre, S.: On the Planning of Wireless Sensor Networks: Energy-Efficient Clustering under the Joint Routing and Coverage Constraint. IEEE Transactions on Mobile Computing 8(8), 1077–1086 (2009)

    Article  Google Scholar 

  6. He, T., Krishnamurthy, S., Luo, L., Yan, T., Gu, L., Stoleru, R., Zhou, G., Cao, Q., Vicaire, P., Stankovic, J.A., Abdelzaher, T.F., Hui, J., Krogh, B.: VigilNet: An Integrated Sensor Network System for Energy-Efficient Surveillance. ACM Transactions on Sensor Networks (TOSN) 2(1), 1–38 (2006) ISSN:1550-4859

    Article  Google Scholar 

  7. Hadim, S., Mohamed, N.: Middleware Challenges and Approaches for Wireless Sensor Networks. IEEE Distributed Systems Online 7(3), art. no. 0603-o3001 (2006)

    Google Scholar 

  8. Jamieson, K., Balakrishnan, H., Tay, Y.C.: Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks, MIT Laboratory for Computer Science, Tech. Rep. 894 (May 2003), http://www.lcs.mit.edu/publications/pubs/pdf/MIT-LCS-TR-894.pdf

  9. Wu, Y., Li, X.-Y., Liu, Y., Lou, W.: Energy-Efficient Wake-Up Scheduling for Data Collection and Aggregation. IEEE Transactions on Parallel and Distributed Systems 21(2), 275–287 (2010), doi:10.1109/TPDS.2009.45

    Article  Google Scholar 

  10. Gupta, A., Lin, X., Srikant, R.: Low-Complexity Distributed Scheduling Algorithms for Wireless Networks. In: Proceedings of IEEE Infocom, Anchorage, AK (May 2007)

    Google Scholar 

  11. Kotamäki, N., Thessler, S., Koskiaho, J., Hannukkala, A.O., Huitu, H., Huttula, T., Havento, J., Järvenpää, M.: Wireless in-situ Sensor Network for Agriculture and water Monitoring on a River Basin scale in southern Finland: Evaluation from a Data User’s Perspective. In: Sensors 2009, vol. 9, pp. 2862–2883 (2009), doi:10.3390/s90402862

    Google Scholar 

  12. Lai, S., Cao, J., Zheng, Y.: PSWare: A publish / subscribe middleware supporting composite event in wireless sensor network, percom. In: 2009 IEEE International Conference on Pervasive Computing and Communications, pp. 1–6 (2009)

    Google Scholar 

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Rathna, R., Sivasubramanian, A. (2011). TDMA Based Low Energy Consuming MAC Protocol for Wireless Sensor Networks in Environmental Monitoring Applications. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Parallel Distributed Computing. PDCTA 2011. Communications in Computer and Information Science, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24037-9_42

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  • DOI: https://doi.org/10.1007/978-3-642-24037-9_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24036-2

  • Online ISBN: 978-3-642-24037-9

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