High Altitude Platforms (HAPs); Internet of Things (ioT); Mobile Edge Computing (MEC); Resource allocation; Smart cities; Task offloading; Wireless Power Transfer; Software; Computer Science (miscellaneous); Information Systems; Engineering (miscellaneous); Hardware and Architecture; Computer Science Applications; Artificial Intelligence; Management of Technology and Innovation
Abstract :
[en] This work presents an efficient framework that combines High Altitude Platform (HAP)-based Mobile Edge Computing (MEC) networks with Wireless Power Transfer (WPT) to optimize resource allocation and task offloading. With the proliferation of smart sensor nodes (IoT) generating real-time data, there is a pressing need to overcome device limitations, including finite battery life and computational resources. Our proposed framework leverages HAP-based MEC servers, offering on-demand computation and communication resources without extensive physical infrastructure. Additionally, WPT, through terrestrial networks, addresses IoT device battery constraints by enabling energy harvesting from nearby access points. The primary focus is joint optimization, aiming to maximize computing bits while minimizing energy consumption under system constraints. Given the optimization problem's complexity, we employ a decomposition approach, breaking it into sub-problems. The first part handles mode selection and task segmentation, determining optimal placement and mode selection variables. The second part addresses resource allocation, optimizing transmission power, offloading time, energy harvesting time, and device computational resources. Numerical results demonstrate the framework's effectiveness compared to relevant benchmark schemes. This approach holds promise for enhancing IoT device performance and energy efficiency in smart city applications.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Nauman, Ali ; Department of Information and Communication Engineering, Yeungnam University, South Korea
Alruwais, Nuha; Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia
Alabdulkreem, Eatedal; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
Nemri, Nadhem; Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia
Aljehane, Nojood O.; Department of Computer Science, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia
Dutta, Ashit Kumar; Department of Computer Science and Information System, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia
Assiri, Mohammed; Department of Computer Science, College of Sciences and Humanities- Aflaj, Prince Sattam bin Abdulaziz University, Aflaj, Saudi Arabia
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
yes
Language :
English
Title :
Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processing
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number (RGP2/ 02/44). Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R161), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. Research Supporting Project number (RSPD2023R608), King Saud University, Riyadh, Saudi Arabia. This study is supported via funding from Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444).The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number ( RGP2/ 02/44 ). Princess Nourah bint Abdulrahman University Researchers Supporting Project number ( PNURSP2023R161 ), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia . Research Supporting Project number ( RSPD2023R608 ), King Saud University, Riyadh, Saudi Arabia . This study is supported via funding from Prince Sattam bin Abdulaziz University project number ( PSAU/2023/R/1444 ).
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