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Approach of Machine Learning Algorithms to Deal with Challenges in 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 1380))

Abstract

Primary goal of wireless sensor network (WSN) to deal with real-world issues creates such network which is feasible and efficient to implement the applications such as monitoring, surveillance of man, machine, structures and natural phenomenon. Topological changes are inevitable due to dynamic nature of WSN. As network dynamics changes, all functional and non-functional operations of wireless sensor network are affected. Traditional approaches used in other networks are incapable of responding and learning dynamically. In current scenario, WSN is integrated with recent technologies like Internet of things and cyberphysical systems to facilitate scalability for providing common services. It is imperative that wireless sensor networks are energy-efficient, self-configurable and can operate independently with minimum human intervention. In order to instil these properties, recently a lot of work has been done to explore machine learning algorithms to tackle with issues and challenges of WSN. In this paper, a basic introduction to machine learning algorithms and their application to various domains of wireless sensor networks are covered.

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Author information

Authors and Affiliations

  1. Computer Science Engineering, UIET, MDU, Rohtak, India

    Sudha, Yudhvir Singh & Harkesh Sehrawat

  2. Computer Science Engineering, Graphic Era Hill University, Dehradun, India

    Vivek Jaglan

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  1. Sudha
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  2. Yudhvir Singh
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  3. Harkesh Sehrawat
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  4. Vivek Jaglan
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Shobhit University Gangoh, Gangoh, Uttar Pradesh, India

    Tarun K. Sharma

  2. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Chang Wook Ahn

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Sudha, Singh, Y., Sehrawat, H., Jaglan, V. (2022). Approach of Machine Learning Algorithms to Deal with Challenges in Wireless Sensor Network. In: Sharma, T.K., Ahn, C.W., Verma, O.P., Panigrahi, B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_31

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