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Development of Trustworthy Self-adaptive Framework for Wireless Sensor Networks

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1160))

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Abstract

Wireless sensor networks (WSN) deployed for outdoor monitoring face many problems due to harsh external environment. Transmission loss is one such problem under weather extremities, which may induce erroneous decisions or a complete data loss. We have developed a self-adaptive trustworthy framework, which utilizes self-awareness of the environment and trustworthiness of the sensor to select alternate transmission channel with suitable transmission powers to manage the current environmental conditions. Each sensor channel is partitioned with varying transmission powers to boost the received signal strength and thereby ensuring an improved data delivery. In this paper, we have selected temperature and wind velocity as the environmental parameters to monitor, as their combined extremities produce unfavorable conditions for wireless transmission at 2.4 GHz. The framework has ensured the trust of the communicating sensor by checking its retransmission history and battery performance, as the selected environment parameters have direct influence on battery lifespan and quality of data delivery. Our framework has devised the possible impacts due to the combined effects of the selected weather extremities into four categories as no-loss, sub minimal loss, minimal loss and medium loss to partition the channel accordingly with 0%, 4%, 6% and 10% increased transmission powers. Our experiments on sensors tested under two sets of environmental data show an average of 5% improvement in data delivery after redesigning the data transmission channel; however, with 2% increase in battery consumption due to the gusty environments.

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Acknowledgement

This work was supported by Kuwait University under a research grant no. QE02/17.

Author information

Authors and Affiliations

  1. Computer Engineering Department, Kuwait University, P.O. Box 5969, Safat, 13060, Kuwait City, Kuwait

    Sami J. Habib & Paulvanna N. Marimuthu

Authors
  1. Sami J. Habib
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  2. Paulvanna N. Marimuthu
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Corresponding author

Correspondence to Sami J. Habib .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Habib, S.J., Marimuthu, P.N. (2020). Development of Trustworthy Self-adaptive Framework for Wireless Sensor Networks. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_34

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