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Soft Computing Paradigms Based Clustering in Wireless Sensor Networks: A Survey

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Advances in Data Sciences, Security and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 612))

Abstract

Energy conservation is one of the critical design issues in Wireless Sensor Networks (WSNs). WSN comprises of a huge collection of resource-restricted devices called sensor nodes (SNs). These nodes are deployed in network dimensions to sense and predict hazardous environmental conditions. Being dispersed randomly in unattended areas, these SNs face different challenges like rapid energy drainage, stability period, node localization, node deployment, clustering, etc. This study presents the potential of different soft computing paradigms namely Fuzzy Logic (FL), Evolutionary Algorithms (EA), Artificial Neural Networks (ANN), and Swarm Intelligence (SI) optimization in tackling with the issue of energy efficiency in WSNs.

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Author information

Authors and Affiliations

  1. Amity Institute of Information Technology, Amity University, Noida, India

    Richa Sharma

  2. Amity School of Engineering and Technology, Amity University, Noida, India

    Vasudha Vashisht

  3. Institute of Technology & Science, Ghaziabad, India

    Umang Singh

Authors
  1. Richa Sharma
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  2. Vasudha Vashisht
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  3. Umang Singh
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Corresponding author

Correspondence to Richa Sharma .

Editor information

Editors and Affiliations

  1. Bharati Vidyapeeth’s College of Engineering, New Delhi, Delhi, India

    Vanita Jain

  2. Bharati Vidyapeeth’s College of Engineering, New Delhi, Delhi, India

    Gopal Chaudhary

  3. Gazi University, Ankara, Turkey

    M. Cengiz Taplamacioglu

  4. Indian Institute of Technology Mumbai, Mumbai, Maharashtra, India

    M. S. Agarwal

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Sharma, R., Vashisht, V., Singh, U. (2020). Soft Computing Paradigms Based Clustering in Wireless Sensor Networks: A Survey. In: Jain, V., Chaudhary, G., Taplamacioglu, M., Agarwal, M. (eds) Advances in Data Sciences, Security and Applications. Lecture Notes in Electrical Engineering, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-15-0372-6_11

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