Impacts of radio irregularity on duty-cycled industrial wireless sensor networks

Mithun Mukherjee, Lei Shu, Likun Hu, Der Jiunn Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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 k-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 k-value in CKN-based algorithm due to more awake nodes to satisfy the k-connectivity in presence of link asymmetry.

Original languageEnglish
Title of host publicationIndustrial Networks and Intelligent Systems - 2nd International Conference, INISCOM 2016, Revised Selected Papers
EditorsHelge Janicke, Kevin Jones, Leandros A. Maglaras
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319525686
Publication statusPublished - 2017 Jan 1
Event2nd International Conference on Industrial Networks and Intelligent Systems, INISCOM 2016 - Leicester, United Kingdom
Duration: 2016 Oct 312017 Nov 1

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Other2nd International Conference on Industrial Networks and Intelligent Systems, INISCOM 2016
CountryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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