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 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 language | English |
|---|---|
| Title of host publication | Industrial Networks and Intelligent Systems - 2nd International Conference, INISCOM 2016, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 29-38 |
| Number of pages | 10 |
| ISBN (Print) | 9783319525686 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Event | 2nd International Conference on Industrial Networks and Intelligent Systems, INISCOM 2016 - Leicester, United Kingdom Duration: 2016 Oct 31 → 2017 Nov 1 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
|---|---|
| Volume | 188 |
| ISSN (Print) | 1867-8211 |
Other
| Other | 2nd International Conference on Industrial Networks and Intelligent Systems, INISCOM 2016 |
|---|---|
| Country | United Kingdom |
| City | Leicester |
| Period | 16-10-31 → 17-11-01 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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Impacts of radio irregularity on duty-cycled industrial wireless sensor networks. / Mukherjee, Mithun; Shu, Lei; Hu, Likun; Deng, Der Jiunn.
Industrial Networks and Intelligent Systems - 2nd International Conference, INISCOM 2016, Revised Selected Papers. Springer Verlag, 2017. p. 29-38 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 188).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Impacts of radio irregularity on duty-cycled industrial wireless sensor networks
AU - Mukherjee, Mithun
AU - Shu, Lei
AU - Hu, Likun
AU - Deng, Der Jiunn
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85011357519&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85011357519&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-52569-3_3
DO - 10.1007/978-3-319-52569-3_3
M3 - Conference contribution
SN - 9783319525686
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 29
EP - 38
BT - Industrial Networks and Intelligent Systems - 2nd International Conference, INISCOM 2016, Revised Selected Papers
PB - Springer Verlag
ER -