TY  - MANSCPT
AU  - Marufa Yeasmin Mukta
TI  - Iot-enabled green energy driven seamless highway lighting: intelligent management of energy demand and consumption
SN  - THE0009335(Local)
PY  - 2021///
CY  - Kuantan, Pahang
PB  - UMP
KW  - Faculty of Computing
KW  - Dissertations
KW  - Universities and colleges
KW  - Theses
N1  - Faculty of Computing; Thesis (Master of Science) -- Universiti Malaysia Pahang – 2021; Includes bibliographical references
N2  - The demand for highway lighting systems  is ubiquitous,  but its operation contributes to  extensive  financial  cost  and  concerning  environmental  implications.  For  this  reason,  recent  researches  have  investigated  possible  solutions  to  boost  the  efficiency  of  the  existing lighting systems. However, the ultimate solutions for green energy enabled smart  highway lighting system is still lacking in terms of cost-effectiveness  and reliability. This  thesis studies divergent proceedings in the literature to establish an energy-efficient green  energy-based  highway  lighting  system,  taking  into  account  the  performance  and  environmental impact perspectives. Finally, this thesis proposes an IoT enabled Hybrid  Renewable  Energy  System  (IoT-HRES)  based  green  highway  lighting  system  to  overcome the limitations of existing pure solar-based highway lighting solutions. The  proposed  system  manages  the  green  energies  smartly,  reduces  solar  dependency,  and  controls  the  lighting  according  to  the  traffic  demand.  A  relay  network  architecture  is  considered to activate adaptive on/off switching to provide seamless lighting. This relay  mechanism also ensures smooth maintenance through the back-tracking detection of the  faulty lamppost. An analytical cost  and reliability  study has been done based on road  busyness to demonstrate the cost-effectiveness of the proposed system.  The proposed  IoT-HRES shows the lowest value of the Requirement of Energy (ROE), Cost of Energy  (COE), and maximum reliability for the implementation of the initial setup except for in  the scenario of maximum road busyness, which seems to be a prime limitation.  This thesis  further  performs  a  simulation  to  investigate  the  two  popular  communication  module  technologies, LoRa  and  IEEE 802.15.4 module for the least initial investment cost with  greater performance to model the proposed IoT-HRES based highway lighting solution.  Last  but  not  least,  the  findings  concluded  by  this  thesis  are  anticipated  to  inform  researchers  and  policymakers  on  perceiving  the  benefits  of  the  ameliorated  energy  efficiency in the highway lighting setup. Furthermore, open issues identified in this thesis  will pave the way for  achieving future highway lighting systems that are not only ensuring  the  energy-efficiency  for  environmental  sustainability  but  also  facilitating  a  safe  and  seamless driving experience
ER  -