TY - JOUR
T1 - IoT-enabled light intensity-controlled seamless highway lighting system
AU - Rahman, Md Arafatur
AU - Asyhari, A. Taufiq
AU - Obaidat, Mohammad S.
AU - Kurniawan, Ibnu Febry
AU - Mukta, Marufa Yeasmin
AU - Vijayakumar, P.
N1 - Funding Information:
Manuscript received August 28, 2019; revised January 14, 2020; accepted January 16, 2020. Date of publication March 12, 2020; date of current version March 9, 2021. This work was supported by the University Malaysia Pahang under the Flagship Grant RDU192202. The work of I. F. Kurniawan was supported by the Directorate General of Resources for Science, Technology and Higher Education, Indonesia. (Corresponding authors: M. A. Rahman; A. T. Asyhari.) Md Arafatur Rahman and Marufa Yeasmin Mukta are with the Faculty of Computing and IBM CoE, Universiti Malaysia Pahang, Pekan 26600, Malaysia (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - Motivated by enormous highway-lighting energy consumption, smart lighting development is crucial to better manage available resources. While existing literature focused on ensuring cost-effective lighting, an equally important requirement, namely the visual comfort of motorists, is almost disregarded. This article proposes a novel Internet of Things-enabled system that can be intelligently controlled according to the traffic demand. Cooperative relay-network architecture is the central element that leverages upon placement of cyber-enabled lampposts to allow for sensing-exchanging highway traffic information. Data accumulation is exploited to automate adaptive switching on/off the lighting and provide backtracking detection of faulty lampposts. From the service provider's perspective, we envision to deploy low-cost highly durable sensing and network components to significantly cut down the operating cost. From the road user's perspective, the relay-network is envisaged to provide seamless driving experience where sufficient lighting is always perceived along the road. A critical analysis quantitatively evaluates the seamless driving experience considering car arrival rate, outage probability, and device malfunction probability. A road occupancy-based cost estimation analysis demonstrates the effective cost reduction of the proposal compared to existing systems. Furthermore, the performance of chosen communication modules under different setups is assessed through simulation, suggesting appropriate protocol for different highway traffic conditions.
AB - Motivated by enormous highway-lighting energy consumption, smart lighting development is crucial to better manage available resources. While existing literature focused on ensuring cost-effective lighting, an equally important requirement, namely the visual comfort of motorists, is almost disregarded. This article proposes a novel Internet of Things-enabled system that can be intelligently controlled according to the traffic demand. Cooperative relay-network architecture is the central element that leverages upon placement of cyber-enabled lampposts to allow for sensing-exchanging highway traffic information. Data accumulation is exploited to automate adaptive switching on/off the lighting and provide backtracking detection of faulty lampposts. From the service provider's perspective, we envision to deploy low-cost highly durable sensing and network components to significantly cut down the operating cost. From the road user's perspective, the relay-network is envisaged to provide seamless driving experience where sufficient lighting is always perceived along the road. A critical analysis quantitatively evaluates the seamless driving experience considering car arrival rate, outage probability, and device malfunction probability. A road occupancy-based cost estimation analysis demonstrates the effective cost reduction of the proposal compared to existing systems. Furthermore, the performance of chosen communication modules under different setups is assessed through simulation, suggesting appropriate protocol for different highway traffic conditions.
KW - Energy efficiency
KW - internet of things
KW - pervasive lighting system
KW - relay network
KW - smart highway
KW - smart lighting
UR - http://www.scopus.com/inward/record.url?scp=85102739199&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2020.2975592
DO - 10.1109/JSYST.2020.2975592
M3 - Article
AN - SCOPUS:85102739199
SN - 1932-8184
VL - 15
SP - 46
EP - 55
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
ER -