Cities are facing challenges of high rise in population number and consequently need to be equipped with latest smart services to provide luxuries of life to its residents. Smart integrated solutions are also a need to deal with the social and environmental challenges, caused by increasing urbanization. Currently, the development of smart services' integrated network, within a city, is facing the barriers including; less efficient collection and sharing of data, along with inadequate collaboration of software and hardware. Aiming to resolve these issues, this paper recommended a solution for a synchronous functionality in the smart services' integration process through modeling technique. Using this integration modeling solution, at first, the service participants, processes and tasks of smart services are identified and then standard illustrations are developed for the better understanding of the integrated service group environment. Business process modeling and notation (BPMN) language based models are developed and discussed for a devised case study, to test and experiment i.e., for remote healthcare from a smart home. The research is concluded with the integration process model application for the required data sharing among different service groups. The outcomes of the modeling are better understanding and attaining maximum automation that can be referenced and replicated.

Our country, Pakistan, is facing an energy crisis and poor economy. The need of the time is to develop a solution which promotes a better lifestyle and less burden on the economy. This paper represents the design and implementation of an automated classroom that not only uses smart algorithms but based on the ECOs (Energy Conversion Opportunities) of an energy audit it reduces the energy consumption without affecting the performance of system and then make a p riority list of these opportunities to optimize the energy consumption. A prototype comprising of a s mart central unit which mon itors occupants, their location and their preference trends using Passive Infrared motion sensors and automated switching that control lighting and heating, and an Android application that monitors and controls the smart system has been imp lemented. The prototype has been tested in two identical environments; one classroom was treated as an experimental group and the other as the control group. The results show that the ‗smart' classroom with integrated algorith ms and control architecture smartly distributes the available energy and keeps the classroom in optimal conditions. It proves to be significantly effect ive in saving energy. Thus it has been concluded that with this approach we can save energy and money that was prev iously wa sted and efficiently consume energy considering our country's limited energy resources.

The   Internet   of   Things (IoT) is technically a developing model looking  at the  connectivity of different devices  or  “things”  to each other, as well as with the users and also with the Internet.   IoT   is   projected   to   be   an important necessity for the advancement of intelligent smart homes to   facilitate   home owners because   it provides opportuneness and effectiveness in   order to   help   them attain an improved quality of life. The incorporation of IoT into smart homes entails integrating devices with the Internet.  Even  though  it  offers  many advantages  to the users,  it also poses new  security  and  privacy  challenges based  on connectivity,  confidentiality, integrity, authenticity, resource limitation,   and   adoption   immaturity. These challenges make the IoT-based smart   homes   with   limited   resources enormously susceptible to    diverse forms of security vulnerabilities.  Thus, it   is   pivotal   to detect the probable security threats to establish a comprehensive and secure   status   of smart IOT-based homes.   This paper incorporates the security risk assessment    approach in    order to evaluate the potential security and privacy risks and challenges faced by smart homes.  The basic goal of this study is to identify and point up diverse security and privacy threats to smart homes and to unveil the risks for their residents.   The   paper   also   presents methods to   mitigate   the recognized dangers. This study provides     a foundation to future applications aimed at refining the security necessities of the IoT-based smart homes.