Maximization of length and lifetime of clustered industrial automation network
R. Nagarajan
; Department of Electrical and Electronics Engineering, Syed Ammal Engineering College, Ramanathapuram, Tamilnadu 623502, India
R. Dhanasekaran
; Department of Electrical and Electronics Engineering, Syed Ammal Engineering College, Ramanathapuram, Tamilnadu 623502, India
APA 6th Edition Nagarajan, R. i Dhanasekaran, R. (2017). Maximization of length and lifetime of clustered industrial automation network. Tehnički vjesnik, 24 (Supplement 1), 163-168. https://doi.org/10.17559/TV-20150910151641
MLA 8th Edition Nagarajan, R. i R. Dhanasekaran. "Maximization of length and lifetime of clustered industrial automation network." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 163-168. https://doi.org/10.17559/TV-20150910151641. Citirano 26.02.2021.
Chicago 17th Edition Nagarajan, R. i R. Dhanasekaran. "Maximization of length and lifetime of clustered industrial automation network." Tehnički vjesnik 24, br. Supplement 1 (2017): 163-168. https://doi.org/10.17559/TV-20150910151641
Harvard Nagarajan, R., i Dhanasekaran, R. (2017). 'Maximization of length and lifetime of clustered industrial automation network', Tehnički vjesnik, 24(Supplement 1), str. 163-168. https://doi.org/10.17559/TV-20150910151641
Vancouver Nagarajan R, Dhanasekaran R. Maximization of length and lifetime of clustered industrial automation network. Tehnički vjesnik [Internet]. 2017 [pristupljeno 26.02.2021.];24(Supplement 1):163-168. https://doi.org/10.17559/TV-20150910151641
IEEE R. Nagarajan i R. Dhanasekaran, "Maximization of length and lifetime of clustered industrial automation network", Tehnički vjesnik, vol.24, br. Supplement 1, str. 163-168, 2017. [Online]. https://doi.org/10.17559/TV-20150910151641
APA 6th Edition Nagarajan, R. i Dhanasekaran, R. (2017). Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije. Tehnički vjesnik, 24 (Supplement 1), 163-168. https://doi.org/10.17559/TV-20150910151641
MLA 8th Edition Nagarajan, R. i R. Dhanasekaran. "Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 163-168. https://doi.org/10.17559/TV-20150910151641. Citirano 26.02.2021.
Chicago 17th Edition Nagarajan, R. i R. Dhanasekaran. "Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije." Tehnički vjesnik 24, br. Supplement 1 (2017): 163-168. https://doi.org/10.17559/TV-20150910151641
Harvard Nagarajan, R., i Dhanasekaran, R. (2017). 'Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije', Tehnički vjesnik, 24(Supplement 1), str. 163-168. https://doi.org/10.17559/TV-20150910151641
Vancouver Nagarajan R, Dhanasekaran R. Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije. Tehnički vjesnik [Internet]. 2017 [pristupljeno 26.02.2021.];24(Supplement 1):163-168. https://doi.org/10.17559/TV-20150910151641
IEEE R. Nagarajan i R. Dhanasekaran, "Maksimizacija duljine i trajanja klasterirane mreže industrijske automatizacije", Tehnički vjesnik, vol.24, br. Supplement 1, str. 163-168, 2017. [Online]. https://doi.org/10.17559/TV-20150910151641
Sažetak The main function of industrial automation networks (IANs) is to monitor and control processes. In general, the sensor nodes utilize batteries as an energy source to control processes. The clustered IAN aims at maximizing the lifetime of the sensor node by improving the energy efficiency. The proposed system is targeted for utilization of the long distance wireless transmission radio modules where the energy distribution needs to be reduced to a greater extent. This paper presents the impact of adopting sleeping mechanisms in transmitting a physical variable from the industrial area to the base station where the controller is present. The number of transmissions that occurs due to the application of aggressive sleeping behaviour has been compared to the normal sleeping behavioural approach. The energy spent by the network for communication greatly depends on the number of transmissions. Hence, the network lifetime can be maximized by minimizing the energy spent for transmission.