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Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1059))

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Abstract

Wireless sensor networks have become the focus of many recent researches focusing on topics like energy optimization, compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting and many more. The three major concern revolves around efficient energy usage, service quality and security management. To achieve success in these domains, it is imperative to have WSN optimization. Also, in applications like vehicular ad hoc networks and body area sensor networks, there can be conflict between these concerns and hence requires some trade-off. Because of these heavy energy expenditure and data processing needs, there is a requirement to review which WSN-based research has been done for optimizing the same through the use of bio-mimetic strategy-based optimization techniques which encompass numerous optimization algorithms. Thus, this paper reviews the various researches done to optimize quality of service parameters of wireless sensor networks and hence also aims to classify the challenges which are faced by these nature-inspired algorithms in WSN environment and thus identify future scope to consider a more comprehensive approach toward the subject matter.

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Acknowledgements

Foremost, we would like to express our sincere gratitude to the Doctoral Research Committee of Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi: Prof. Dr. Pravin Chandra, Prof. Dr. C. S. Rai, Prof. Dr. Amrinder Kaur, Prof. Dr. B. V. R. Reddy, Prof. Dr. Amit Prakash, Dr. Anurag Jain and Dr. Rahul Johari, for their encouragement, insightful comments, and hard questions. Our sincere thanks also goes to Vivekananda Institute of Professional Studies (VIPS) Respected Chairman sir Shri. Dr. S. C. Vats, Vice Chairman Shri. Suneet Vats, Shri. Vineet Vats and rest of VIPS management. We also wish to thank Dr. Ravish Saggar, Dr. Shubra Saggar, Dr. Ashish Khanna, Dr. Deepak Gupta for their constant motivation and moral support. This would be a right place to thank Dr. Tania Mahapatra for giving her invaluable time to help make this manuscript comprehendible. Last but not the least; we would like to thank our parents and God for supporting us throughout our life.

Author information

Authors and Affiliations

  1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, New Delhi, India

    Cosmena Mahapatra & Ashish Payal

  2. Vivekananda Institute of Professional Studies, Guru Gobind Singh Indraprastha University, New Delhi, India

    Cosmena Mahapatra & Meenu Chopra

Authors
  1. Cosmena Mahapatra
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  2. Ashish Payal
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  3. Meenu Chopra
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Corresponding author

Correspondence to Cosmena Mahapatra .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  2. Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Deepak Gupta

  3. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Mahapatra, C., Payal, A., Chopra, M. (2020). Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_39

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