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Energy Management Routing in Wireless Sensor Networks

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Book cover Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

Wireless Sensor Networks sensor nodes collect, process, and communicate data acquired from the physical environment to an external Base-Station (BS). Its flexibility in terms of the shape of the network and mobility of the sensor nodes makes it special. Sensor nodes in WSNs are normally battery-powered, so energy has to be carefully utilized in order to avoid early termination of sensors’ lifetimes. Also sensors position in network is also initially not determined so sensor should be capable of generating optimal routing path and transmitting data to the base station. Second constraint with the sensors is bandwidth. Considering these two limitations it is necessary routing and sensing algorithm that use innovative methods to preserve energy of sensors. In this paper we use neural network to conserve energy of WSN and increase the life of network.

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Authors and Affiliations

  1. MIT, MIET Group, Meerut, India

    Vrince Vimal & Sanjeev Maheshwari

Authors
  1. Vrince Vimal
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  2. Sanjeev Maheshwari
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Corresponding author

Correspondence to Vrince Vimal .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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© 2014 Springer India

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Vimal, V., Maheshwari, S. (2014). Energy Management Routing in Wireless Sensor Networks. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_14

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_14

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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