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Energy Efficient Adaptive Mobile Wireless Sensor Network in Smart Monitoring Applications

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Innovations in Intelligent Computing and Communication (ICIICC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1737))

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Abstract

The Mobile Wireless Sensor Networks (MWSNs) owe its name due to mobile sinks or mobile sensor nodes as one category of heterogeneous networks with induced mobility of nodes making it autonomous and more suitable for smart monitoring applications. The possible application in their implementation context in home and disaster management involves the integration of mobile WSN in ubiquitous computing. With the enormous growth of smart devices, the data sharing among entities lead to hotspot problem nearby sink, that requires a powerful computing, communicating and storage capable mobile devices, can benefit network in terms of scalability, efficiency and data delivery speed. In this paper, we proposed an adaptive heterogeneous multi-tiered architecture based mobile sensor network and analyzed its performance and routing efficiency with respect to the static wireless sensor network. The performance metrics used help in validating our proposed method suitable for smart data collecting and dissemination for monitoring applications. Again, the low power wireless personal area network (6LoWPAN) plays a vital role in interconnecting these IoT devices and implementing mobility of nodes with appropriate data rate for robust communication and achieving desired Quality of Service.

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Authors and Affiliations

  1. Utkal University, Vani Bihar, Bhubaneswar, Odisha, India

    Seli Mohapatra & Prafulla Kumar Behera

  2. C. V. Raman Global University, Mahura, Bhubaneswar, Odisha, India

    Seli Mohapatra

Authors
  1. Seli Mohapatra
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  2. Prafulla Kumar Behera
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Corresponding author

Correspondence to Seli Mohapatra .

Editor information

Editors and Affiliations

  1. Utkal University, Bhubaneswar, Odisha, India

    Mrutyunjaya Panda

  2. Fakir Mohan University, Balasore, Odisha, India

    Satchidananda Dehuri

  3. Berhampur University, Berhampur, Odisha, India

    Manas Ranjan Patra

  4. Utkal University, Bhubaneswar, Odisha, India

    Prafulla Kumar Behera

  5. University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  6. Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  7. CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello

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Mohapatra, S., Behera, P.K. (2022). Energy Efficient Adaptive Mobile Wireless Sensor Network in Smart Monitoring Applications. In: Panda, M., et al. Innovations in Intelligent Computing and Communication. ICIICC 2022. Communications in Computer and Information Science, vol 1737. Springer, Cham. https://doi.org/10.1007/978-3-031-23233-6_17

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  • DOI: https://doi.org/10.1007/978-3-031-23233-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23232-9

  • Online ISBN: 978-3-031-23233-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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