Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3791 2019 2019 Department of Computer Science and Engineering, R.M.K Engineering College, Kavarapettai, India Mohanaprakash Mohanaprakash Department of Computer Science and Engineering, St.Joseph’s Institute of Technology, OMR, Chennai, Tamilnadu, India Nagalingam Mythili Department of Computer Science and Engineering, Mohamed Sathak A.J. College of Engineering,Siruseri, Chennai - 603103, India V. Pandarinathan Department of Computer Science and Engineering, Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College, Avadi, Chennai- 600062 Tamilnadu, India Santhi Karuppiah Department CSE, Rajalakshmi Institue of Technology, Chennai, TamilNadu, India R. Saravanan Department of Physics, Panimalar Engineering College, Chennai, India P. Sangeetha Due to emerging disruptive technologies, the Internet of Things (IoT) is essential in innovative living domains, such as elderly and disabled healthcare services, home security and safety monitoring, and computerization control services. The IoT can improve inhabitants' quality of life and the quality of life of smart ambient assisted living (AAL) environment users. The sixth (6G) network will enable a completely linked world with terrestrial wireless communications. Blockchain-based approaches offer decentralized privacy and security, yet they include vital delay, computational, and energy overhead inappropriate for most resource-reserved IoT devices. Hence, this study proposes a Blockchain and IoT-based Assisted Living System (BIoT-ALS) using 6G communication. The nodes in our proposed paradigm use smart contracts to specify norms of interaction while working together to provide storage and computing resources. Our suggested approach has encouraged confidence-free interaction and boosted user privacy through the blockchain approach. This paper aims to explain the sensor layer, a distributed signal processing system in vast, physically connected, wirelessly networked, and energy-restricted networks of sensor items. A comprehensive experimental test series shows each sensor type's accuracy and probable usage. The numerical results show that the suggested BIoT-ALS model improves the performance ratio of 99.1%, accuracy ratio of 98.8%, reliability ratio of 94.8%, an efficiency ratio of 93.6%, the throughput rate of 97.6%, and reduces the network delay of 19.2%, latency ratio 10.2%, and execution time of 20.4% compared to other popular models. 2025 2025 159 176 10.54216/JISIoT.170112 https://www.americaspg.com/articleinfo/18/show/3791