scholarly journals Smartlife: A Point of Intelligence for Wireless Sensor Networks in Ubiquitous Environment

2021 ◽  
Author(s):  
Anwar Haq

As home becomes more technologically advanced nowadays people not only need to protect their homes and families from theft or fire, but from carbon monoxide, excessive heat or low temperatures, flooding as well as monitoring their loved ones while they are away. In this research Project, we present the design case for an intelligent embedded system (Hardware and Software) called "SmartLife". We build a working prototype for SmartLife which is made up of tiny sensors, mobile devices, appliances and personal computers from diverse sources. Considering diversity in smart home environment the architecture must be open and flexible to embrace a variety of entities without any special favor towards particular participants or target domains. SmartLife will be the point of intelligence in the smart home environment (complete pervasive environment) which not only communicates with wireless sensors network (monitor & control) but also provides a secure state of mind to elderly homeowners. The work introduces the basics of uClinux kernel as well as the differences between uClinux and the general purpose operating system Linux. It also introduces FPGA based softcore CPU NIOS-II as an embedded platform for our research project. Our uClinux based architecture provides an integrated and comprehensive framework for building pervasive applications. We describe the design and implementation of our architecture as well as building SmartLife application within it.

2021 ◽  
Author(s):  
Anwar Haq

As home becomes more technologically advanced nowadays people not only need to protect their homes and families from theft or fire, but from carbon monoxide, excessive heat or low temperatures, flooding as well as monitoring their loved ones while they are away. In this research Project, we present the design case for an intelligent embedded system (Hardware and Software) called "SmartLife". We build a working prototype for SmartLife which is made up of tiny sensors, mobile devices, appliances and personal computers from diverse sources. Considering diversity in smart home environment the architecture must be open and flexible to embrace a variety of entities without any special favor towards particular participants or target domains. SmartLife will be the point of intelligence in the smart home environment (complete pervasive environment) which not only communicates with wireless sensors network (monitor & control) but also provides a secure state of mind to elderly homeowners. The work introduces the basics of uClinux kernel as well as the differences between uClinux and the general purpose operating system Linux. It also introduces FPGA based softcore CPU NIOS-II as an embedded platform for our research project. Our uClinux based architecture provides an integrated and comprehensive framework for building pervasive applications. We describe the design and implementation of our architecture as well as building SmartLife application within it.


2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  

Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.


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