International Journal of Sensors and Sensor Networks

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An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme

Received: Jun. 17, 2018    Accepted: Jul. 05, 2018    Published: Sep. 15, 2018
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Abstract

Wireless sensor networks (WSNs) consist of a large number of wireless sensor nodes dispersed in an area of interest with one or more base stations mainly used in monitoring our environment and also for physical conditions. It has been established that energy is the most constraining factor on the functionality of such networks because they are powered with limited energy and replacement of power resources might be unfeasible. Duty Cycling and In-Network Aggregation could be used to reduce energy consumption but energy saving is obtained at the expense of an increased node complexity and network latency. However, in order to reduce energy consumption and increase reliability, nodes only need to send small packet to the sink. A secured and energy efficient wireless sensor network using Chinese Remainder Theorem (CRT) based packet splitting algorithm is therefore proposed. This technique involves splitting the messages sent by the source node of a wireless sensor network so that the maximum number of bits per packet that a node has to forward is reduced which decreases the energy consumption of the network. However, it also increases the message security because the remainders of sensed data are sent instead of data itself, the received packet is encrypted and for decrypt the message, need to have the moduli set which serves as the secret key. The results obtained shows the proposed algorithm outperforms traditional approaches in terms of energy saving, reliability, simplicity and fair distribution of energy consumption among all nodes in the network as well as reduction in end-to-end delay.

DOI 10.11648/j.ijssn.20180602.11
Published in International Journal of Sensors and Sensor Networks ( Volume 6, Issue 2, June 2018 )
Page(s) 26-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Energy Efficiency, Reliability, Packet Breaking, Chinese Remainder Theorem, Wireless Sensor Networks

References
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[5] H. Lee, S. D. Min, M. Choi and D. Lee, Multi-Agent System for Fault Tolerance in Wireless Sensor Networks, KSII transactions on internet and information systems, 2016, vol. 10, No. 3.
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Cite This Article
  • APA Style

    Kamaldeen Ayodele Raji, Kazeem Alagbe Gbolagade, Fatimoh Abidemi Taofeek-Ibrahim. (2018). An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme. International Journal of Sensors and Sensor Networks, 6(2), 26-37. https://doi.org/10.11648/j.ijssn.20180602.11

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    ACS Style

    Kamaldeen Ayodele Raji; Kazeem Alagbe Gbolagade; Fatimoh Abidemi Taofeek-Ibrahim. An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme. Int. J. Sens. Sens. Netw. 2018, 6(2), 26-37. doi: 10.11648/j.ijssn.20180602.11

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    AMA Style

    Kamaldeen Ayodele Raji, Kazeem Alagbe Gbolagade, Fatimoh Abidemi Taofeek-Ibrahim. An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme. Int J Sens Sens Netw. 2018;6(2):26-37. doi: 10.11648/j.ijssn.20180602.11

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  • @article{10.11648/j.ijssn.20180602.11,
      author = {Kamaldeen Ayodele Raji and Kazeem Alagbe Gbolagade and Fatimoh Abidemi Taofeek-Ibrahim},
      title = {An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {6},
      number = {2},
      pages = {26-37},
      doi = {10.11648/j.ijssn.20180602.11},
      url = {https://doi.org/10.11648/j.ijssn.20180602.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijssn.20180602.11},
      abstract = {Wireless sensor networks (WSNs) consist of a large number of wireless sensor nodes dispersed in an area of interest with one or more base stations mainly used in monitoring our environment and also for physical conditions. It has been established that energy is the most constraining factor on the functionality of such networks because they are powered with limited energy and replacement of power resources might be unfeasible. Duty Cycling and In-Network Aggregation could be used to reduce energy consumption but energy saving is obtained at the expense of an increased node complexity and network latency. However, in order to reduce energy consumption and increase reliability, nodes only need to send small packet to the sink. A secured and energy efficient wireless sensor network using Chinese Remainder Theorem (CRT) based packet splitting algorithm is therefore proposed. This technique involves splitting the messages sent by the source node of a wireless sensor network so that the maximum number of bits per packet that a node has to forward is reduced which decreases the energy consumption of the network. However, it also increases the message security because the remainders of sensed data are sent instead of data itself, the received packet is encrypted and for decrypt the message, need to have the moduli set which serves as the secret key. The results obtained shows the proposed algorithm outperforms traditional approaches in terms of energy saving, reliability, simplicity and fair distribution of energy consumption among all nodes in the network as well as reduction in end-to-end delay.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - An Enhanced Vitality Efficient and Reliable Wireless Sensor Networks with CRT-Based Packet Breaking Scheme
    AU  - Kamaldeen Ayodele Raji
    AU  - Kazeem Alagbe Gbolagade
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    DO  - 10.11648/j.ijssn.20180602.11
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    JF  - International Journal of Sensors and Sensor Networks
    JO  - International Journal of Sensors and Sensor Networks
    SP  - 26
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    PB  - Science Publishing Group
    SN  - 2329-1788
    UR  - https://doi.org/10.11648/j.ijssn.20180602.11
    AB  - Wireless sensor networks (WSNs) consist of a large number of wireless sensor nodes dispersed in an area of interest with one or more base stations mainly used in monitoring our environment and also for physical conditions. It has been established that energy is the most constraining factor on the functionality of such networks because they are powered with limited energy and replacement of power resources might be unfeasible. Duty Cycling and In-Network Aggregation could be used to reduce energy consumption but energy saving is obtained at the expense of an increased node complexity and network latency. However, in order to reduce energy consumption and increase reliability, nodes only need to send small packet to the sink. A secured and energy efficient wireless sensor network using Chinese Remainder Theorem (CRT) based packet splitting algorithm is therefore proposed. This technique involves splitting the messages sent by the source node of a wireless sensor network so that the maximum number of bits per packet that a node has to forward is reduced which decreases the energy consumption of the network. However, it also increases the message security because the remainders of sensed data are sent instead of data itself, the received packet is encrypted and for decrypt the message, need to have the moduli set which serves as the secret key. The results obtained shows the proposed algorithm outperforms traditional approaches in terms of energy saving, reliability, simplicity and fair distribution of energy consumption among all nodes in the network as well as reduction in end-to-end delay.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Department of Computer Science, Kwara State University, Malete, Nigeria

  • Department of Computer Science, Kwara State University, Malete, Nigeria

  • Department of Computer Science, Federal Polytechnic, Offa, Nigeria

  • Section