Integrating Edge Intelligence with Blockchain-Driven Secured IoT Healthcare Optimization Model  

作　　者：Khulud Salem Alshudukhi Mamoona Humayun Ghadah Naif Alwakid 

机构地区：[1]Department of Computer Science,College of Computer and Information Sciences,Jouf University,Sakaka,72388,Saudi Arabia [2]Department of Computing,School of Arts Humanities and Social Sciences,University of Roehampton,London,SW155PH,UK

出　　处：《Computers, Materials & Continua》2025年第5期1973-1986,共14页计算机、材料和连续体(英文)

基　　金：funded by the Deanship of Graduate Studies and Scientific Research at Jouf University under grant No.(DGSSR-2024-02-02090).

摘　　要：The Internet ofThings(IoT)and edge computing have substantially contributed to the development and growth of smart cities.It handled time-constrained services and mobile devices to capture the observing environment for surveillance applications.These systems are composed of wireless cameras,digital devices,and tiny sensors to facilitate the operations of crucial healthcare services.Recently,many interactive applications have been proposed,including integrating intelligent systems to handle data processing and enable dynamic communication functionalities for crucial IoT services.Nonetheless,most solutions lack optimizing relayingmethods and impose excessive overheads for maintaining devices’connectivity.Alternatively,data integrity and trust are another vital consideration for nextgeneration networks.This research proposed a load-balanced trusted surveillance routing model with collaborative decisions at network edges to enhance energymanagement and resource balancing.It leverages graph-based optimization to enable reliable analysis of decision-making parameters.Furthermore,mobile devices integratewith the proposed model to sustain trusted routes with lightweight privacy-preserving and authentication.The proposed model analyzed its performance results in a simulation-based environment and illustrated an exceptional improvement in packet loss ratio,energy consumption,detection anomaly,and blockchain overhead than related solutions.

关 键 词：Smart cities load balancing blockchain health systems edge computing 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]