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An Extensive Survey on Energy Optimization Techniques Based on Simultaneous Wireless Data and Energy Transfer to Wireless Sensor Network

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 583))

Abstract

Wireless sensor networks (WSN) have involved many research scholars in recent years.WSN are significantly confined by their limited energy. Energy expenditure is a major concern in the designing and implementation of routing protocols and algorithms for wireless sensor networks because of limitation of power supply. There are many research articles available on optimization of wireless sensor network (WSN), mostly rely on energy-efficient routing protocols such as ant colony optimization, genetic algorithm, etc. However, with the advancement of antenna technology and wireless power transfer through microwaves, the issue of limited energy can be addressed by transmitting power as well as data at the same time. In this paper, authors have presented a wide survey of such optimization techniques that rely on simultaneous transfer of power as well as data to the wireless sensor nodes.

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Author information

Authors and Affiliations

  1. GGSIP University, Delhi, India

    Ankit Gambhir

  2. Delhi Technical Campus, GGSIP University, Delhi, India

    Rajeev Arya

Authors
  1. Ankit Gambhir
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  2. Rajeev Arya
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Corresponding author

Correspondence to Ankit Gambhir .

Editor information

Editors and Affiliations

  1. Department of Applied Science and Engineering, IIT Roorkee, Saharanpur, India

    Millie Pant

  2. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  3. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  4. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  5. Surface Characterization Group, NIMS, Nano Characterization Unit, Advanced Key Technologies Division, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Gambhir, A., Arya, R. (2018). An Extensive Survey on Energy Optimization Techniques Based on Simultaneous Wireless Data and Energy Transfer to Wireless Sensor Network. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore. https://doi.org/10.1007/978-981-10-5687-1_42

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  • DOI: https://doi.org/10.1007/978-981-10-5687-1_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5686-4

  • Online ISBN: 978-981-10-5687-1

  • eBook Packages: EngineeringEngineering (R0)

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