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Compressed Sensing Based Network Lifetime Enhancement in Wireless Sensor Networks

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Optical and Wireless Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 472))

Abstract

Increasing network lifetime is the important aspect in wireless sensor network deployed for any application. In this paper, we propose to exploit joint sparsity to remove redundant sensor data to be transmitted to increase network lifetime using compressed sensing. Result indicates that proposed method increases network lifetime significantly.

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References

  1. Akyildiz I, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Computer Networks 38(4):393–422

    Article  Google Scholar 

  2. Chen SS, Donoho DL, Saunders MA (2001) Atomic decomposition by basis pursuit. SIAM Rev 43(1):129–159

    Article  MathSciNet  Google Scholar 

  3. Davis G, Mallat S, Avellaneda M (1997) Adaptive greedy approximations. Constructive Approximation 13(1):57–98

    Article  MathSciNet  Google Scholar 

  4. Donoho DL (2006) Compressed sensing. IEEE Transactions on Information Theory 52(4):1289–1306

    Article  MathSciNet  Google Scholar 

  5. Duarte MF, Sarvotham S, Baron D, Wakin MB, Baraniuk RG (2005) Distributed compressed sensing of jointly sparse signals. Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers 2005:1537–1541

    Article  Google Scholar 

  6. Luo C, Wu F, Sun J, Chen CW (2009) Compressive data gathering for large-scale wireless sensor networks. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, ACM, New York, NY, USA, MobiCom ’09, pp 145–156

    Google Scholar 

  7. So J, Byun H (2016) Load-balanced opportunistic routing for duty-cycled wireless sensor networks. IEEE Transactions on Mobile Computing PP(99):1–1

    Google Scholar 

  8. Tan L, Wu M (2016) Data reduction in wireless sensor networks: A hierarchical LMS prediction approach. IEEE Sensors Journal 16(6):1708–1715

    Article  Google Scholar 

  9. Tropp JA, Gilbert AC, Strauss MJ (2006) Algorithms for simultaneous sparse approximation: Part i: Greedy pursuit. Signal Process 86(3):572–588

    Article  Google Scholar 

  10. Wakin MB, Duarte MF, Sarvotham S, Baron D, Baraniuk RG (2005) Recovery of jointly sparse signals from few random projections. In: Proceedings of the 18th International Conference on Neural Information Processing Systems, MIT Press, Cambridge, MA, USA, NIPS’05, pp 1433–1440

    Google Scholar 

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Correspondence to Prateek Dolas .

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Dolas, P., Ghosh, D. (2018). Compressed Sensing Based Network Lifetime Enhancement in Wireless Sensor Networks. In: Janyani, V., Tiwari, M., Singh, G., Minzioni, P. (eds) Optical and Wireless Technologies. Lecture Notes in Electrical Engineering, vol 472. Springer, Singapore. https://doi.org/10.1007/978-981-10-7395-3_52

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  • DOI: https://doi.org/10.1007/978-981-10-7395-3_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7394-6

  • Online ISBN: 978-981-10-7395-3

  • eBook Packages: EngineeringEngineering (R0)

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