Table of Content
- Cloud computing model for big data processing and performance optimization of multimedia communication
- Multitier fog computing with large-scale IoT data analytics for smart cities
- Computational Intelligence in Internet of Things Enabled Applications
- SERVICES
- Smart Home
- Sample data
- Next Generation Entertainment
Depending on the processing requirement, the data collected from the device is either processed at the device itself known as edge analytics or at the local node deployed at the periphery of the home network known as fog computing. Edge Intelligence is based on the concept to bring data processing from the cloud to the field, i.e. to the smart home where sensors, devices are deployed. In the current IoT paradigm, these connected devices are constantly gathering huge amounts of data and sending it to a centralized remote server.
The collected data are transmitted through the indoor wireless network of smart home gateway equipment, and the data distributed cache architecture based on big data analysis is used to store smart home data. Based on the relevant data, the hybrid particle swarm optimization algorithm is used to schedule the control and management tasks of smart home to complete the control and management of smart home. The experimental results show that the device control and scenario management effect of this method is better, and the communication performance is superior and has high practical application value.
Cloud computing model for big data processing and performance optimization of multimedia communication
Otherwise, the algorithm returns to step 4 to continue searching for the optimal solution. The embedded unit is the core of the whole smart home gateway equipment. It is responsible for gateway authentication, data analysis, processing, storage, and data exchange between internal and external networks. Emporia is a US-based startup working on innovative technologies for smart home energy management. It develops a system that identifies and manages wasted energy to reduce energy consumption as well as controls energy use throughout the day. The startup’s system is controllable via a mobile app or the web and automatically adjusts the energy usage during the increased energy consumption.
Additionally, in November 2018, Legrand acquired Netatmo, a French-based smart home company. Netatmo’s products will be integrated into Legrand's portfolio, which will allow the Group to increase its presence in this market and accelerate the development of Eliot, its connected solutions initiative. For instance, In August 2021, Schneider Electric and Livspace, home interiors and renovation platform, announced a partnership.
Multitier fog computing with large-scale IoT data analytics for smart cities
Governments and local players are likely to increase their initiatives and investments, resulting in continued growth. According to a Ciena study report published in June 2021, more than half of adults in the Kingdom of Saudi Arabia (57%) and the UAE (54%) believe the future of the internet would be driven by their desire to become more energy efficient. A vast number of people in both countries are considering conducting more virtual activities to decrease their carbon impact. In addition, the adoption of smart type of home systems and consumption control devices is on the rise . As a result of these key market trends, metro and edge networks are being asked to meet the ever-increasing demand. In order to become more efficient and reduce energy consumption, the network must obviously evolve according to consumer demand.
Automated homes of today have an entire ecosystem of connected devices. Connected home startups and scaleups are developing solutions aimed at providing homeowners with the best home experience while maintaining safety. Smart home connectivity, smart home security, personalized health management, and next-generation entertainment are some major smart home trends. Many smart home owners are also integrating robotics into their daily lives to automate mundane tasks. Many smart home trends are in the development process and are witnessing rapid innovation. In a society with a growing population of elders, providing efficient and cost-effective long-term care has become central to reducing the economic and societal impact of this demographic shift.
Computational Intelligence in Internet of Things Enabled Applications
Smart health monitoring enables emergency detection, illness diagnosis, and fall detection, applications that particularly help senior or chronic disease patients. Another technology that boosts personalized health management is sleep tech. Focusing on improving the sleep experience, smart appliances were developed for health conditions tracking and improving sleeping habits. Touchless technologies provide an ability for operating without physical contact and have innovations like touchless floor cleaning, touchless hand sanitizing, and touchless doorbells.
This data is processed and stored in the remote server for analytics and remote access control. Centralized remote servers have the power to process this data, however, there are multiple limitations in this architecture. At Analyticsmart our mission is to translate data into meaningful, measurable and actionable insights that drive growth and increase profitability for your business.
Canadian startup SPARK develops a high bandwidth wireless protocol with ultra-low power consumption and ultra-low latency. SPARKS’s technology significantly extends the battery life of electronics and enables the battery-less operation of wireless devices such as sensors when paired with energy harvesting technologies used in smart homes. There are still many challenges for the smart home data analytics market to overcome, and it is important to be realistic. Data privacy and security are arguably the biggest barriers for these solutions. In recent years, data hackings have become more frequent and have effected big-name companies from Yahoo to Sony to Target— all of which have experienced security breaches of consumer data.
UK-based startup U-Linc offers a discovery and interaction protocol that interacts with any connectable device, facilitating a level of interoperability. For residential space automation, it provides secure connectivity with different IoT devices without vendors. The startup’s technology enables a connected product to customize the user experience on the fly and to provide various access rights for monitoring and control of the home attributes, such as lighting, heating, and appliances. Smart Home Strategies is an advisory service focusing on emerging opportunities in home monitoring, energy management, and home control systems and services.
Amongst them, entertainment is expected to hold the highest smart home market share during the forecast period. Wireless communication and cellular technology advancements are major components driving the market growth. M. Shamim Hossain is a Professor at the Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
In addition to this, this data collection also helps to improve the comfort and safety of consumers. Interoperability and lack of education about the value of these technologies also inhibit market growth. In the connected home, devices that cannot communicate with each other due to incompatible protocols and communicating technologies result in disparate and inaccessible streams of data that cannot be used to create value. Smart home data analytics solutions are currently focused on customer engagement.
As mentioned above, technology has also greatly affected the way we run our homes. Therefore, many IT professionals are using Big Data analytics specifically for smart homes. The revolutionary phenomenon of the Internet of Things and Big Data analytics have changed the face of the computer industry. With technological advances, we have all experienced wonderful changes in our daily routine, even these things have seen massive insurrections that were not even considered technologically managed. I’m talking specifically about innovation in smart home technology. Contact a Capgemini Engineering edge intelligence expert today to find out how smart homes can truly become Intelligent.
Connectivity enables the integration of new technologies such as artificial intelligence, virtual reality, IoT, big data, and advanced appliances, making the ordinary home intelligent. Smart energy management, sustainable home, and smart home heating aim to reduce emissions and consumption expenses. These solutions complement each other to create an intelligent, connected home. To take the next leap in IoT, smart homes need to be upgraded to intelligent homes that leverage the capabilities of artificial intelligence and machine learning .
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