Industrial Networks and Intelligent Systems. Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Revised Selected Papers

Research Article

Impacts of Radio Irregularity on Duty-Cycled Industrial Wireless Sensor Networks

  • @INPROCEEDINGS{10.1007/978-3-319-52569-3_3,
        author={Mithun Mukherjee and Lei Shu and Likun Hu and Der-Jiunn Deng},
        title={Impacts of Radio Irregularity on Duty-Cycled Industrial Wireless Sensor Networks},
        proceedings={Industrial Networks and Intelligent Systems. Second International Conference, INISCOM 2016, Leicester, UK, October 31 -- November 1, 2016, Revised Selected Papers},
        proceedings_a={INISCOM},
        year={2017},
        month={6},
        keywords={Industrial wireless sensor networks Radio irregularity Duty-cycled IWSNs CKN-based sleep scheduling},
        doi={10.1007/978-3-319-52569-3_3}
    }
    
  • Mithun Mukherjee
    Lei Shu
    Likun Hu
    Der-Jiunn Deng
    Year: 2017
    Impacts of Radio Irregularity on Duty-Cycled Industrial Wireless Sensor Networks
    INISCOM
    Springer
    DOI: 10.1007/978-3-319-52569-3_3
Mithun Mukherjee1,*, Lei Shu1,*, Likun Hu,*, Der-Jiunn Deng2,*
  • 1: Guangdong University of Petrochemical Technology
  • 2: National Changhua University of Education
*Contact email: m.mukherjee@ieee.org, lei.shu@ieee.org, likun.hu@outlook.com, djdeng@cc.ncue.edu.tw

Abstract

With rapid adoption of advanced wireless sensors in last decades, industrial wireless sensor networks (IWSNs) are increasingly deployed in the industries for various applications. Sleep scheduling is a common approach in IWSNs to overcome network lifetime problem due to energy-constrained sensor nodes. However, in real-environment, node’s transmit power varies in different directions due to non-isotropic nature of electromagnetic transmission, path-loss, noise, and temperature. Thus, radio irregularity results in link asymmetry, thereafter, affects the performance of sleep scheduling in IWSNs. In this paper, we evaluate the impacts of radio irregularity on sleeping probability and lifetime performances of well-known connected -neighborhood (CKN)-based sleep scheduling algorithms in duty-cycled IWSNs. We derive the upper-limit of sleep probability with radio irregularity variables. From the extensive simulations, we show that radio irregularity increases the number of awake nodes in duty-cycled sensor networks, therefore, network lifetime decreases with increasing values of link asymmetry parameters. Finally, an adverse impact of radio irregularity is observed in higher -value in CKN-based algorithm due to more awake nodes to satisfy the -connectivity in presence of link asymmetry.