Energy efficient indoor localisation for narrowband internet of things  

作　　者：Ismail Keshta Mukesh Soni Mohammed Wasim Bhatt Azeem Irshad Ali Rizwan Shakir Khan Renato RMaaliw III Arsalan Muhammad Soomar Mohammad Shabaz 

机构地区：[1]Computer Science and Information Systems Department,College of Applied Sciences,AlMaarefa University,Riyadh,Saudi Arabia [2]Department of CSE,University Centre for Research and Development Chandigarh University,Mohali,Punjab,India [3]Department of Computer Science and Engineering,National Institute of Technology,Srinagar,India [4]Asghar Mall College Rawalpindi,Higher Education Department(HED),Govt.of the Punjab,Rawalpindi,Pakistan [5]Department of Industrial Engineering,Faculty of Engineering,King Abdulaziz University,Jeddah,Saudi Arabia [6]College of Computer and Information Sciences,Imam Mohammad Ibn Saud Islamic University(IMSIU),Riyadh,Saudi Arabia [7]College of Engineering,Southern Luzon State University,Lucban,Quezon,Philippines [8]Department of Automation,Electronics and Electrical Engineering,Gdansk University of Technology,Gdańsk,Poland [9]Arba Minch University,Arba Minch,Ethiopia

出　　处：《CAAI Transactions on Intelligence Technology》2023年第4期1150-1163,共14页智能技术学报（英文）

摘　　要：There are an increasing number of Narrow Band IoT devices being manufactured as the technology behind them develops quickly.The high co‐channel interference and signal attenuation seen in edge Narrow Band IoT devices make it challenging to guarantee the service quality of these devices.To maximise the data rate fairness of Narrow Band IoT devices,a multi‐dimensional indoor localisation model is devised,consisting of transmission power,data scheduling,and time slot scheduling,based on a network model that employs non‐orthogonal multiple access via a relay.Based on this network model,the optimisation goal of Narrow Band IoT device data rate ratio fairness is first established by the authors,while taking into account the Narrow Band IoT network:The multidimensional indoor localisation optimisation model of equipment tends to minimize data rate,energy constraints and EH relay energy and data buffer constraints,data scheduling and time slot scheduling.As a result,each Narrow Band IoT device's data rate needs are met while the network's overall performance is optimised.We investigate the model's potential for convex optimisation and offer an algorithm for optimising the distribution of multiple resources using the KKT criterion.The current work primarily considers the NOMA Narrow Band IoT network under a single EH relay.However,the growth of Narrow Band IoT devices also leads to a rise in co‐channel interference,which impacts NOMA's performance enhancement.Through simulation,the proposed approach is successfully shown.These improvements have boosted the network's energy efficiency by 44.1%,data rate proportional fairness by 11.9%,and spectrum efficiency by 55.4%.

关 键 词：artificial inteligence detection of moving objects internet of things 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]