Advanced Applications Based on Internet of Things for Smart Devices

The Internet of Things (IoT) has gained tremendous recognition by researchers as one of the most sophisticated technologies that have a potential to affect safety, health, and productivity of people. As such, IoT is expected to have a major economic impact on the globe. IoT consists of various physical objects that are embedded within computing devices, actuators and sensors. These components of IoT are then linked to various networks that allow data transportation. The computing devices include smart devices, including smart phones and smart TVs. With the increasing use of sensors in the various fields, including medicine, insurance, transportation, and utilities, IoT has enabled continuous and remote monitoring. For example, in the medical field, smart devices have enabled hospital personnel to remotely monitor the health status of patients. For this reason, IoT is set to revolutionize not only the medical field but also all other industries.

IoT is composed of networked smart devices, such as smart-phones, smart TVs, air conditioners, lights, entrance door lock, refrigerators, cookers, temperature controllers and root cleaners. In essence, this will be facilitated by sensor networks that use a variety of technologies, including the radio frequency identification (RFID), thereby allowing communication and information systems to be embedded in the environment around us. In effect, it will lead to the generation of huge datasets that are stored, processed and presented in an efficient, seamless and easily interpretable fashion.

As such, through IoT, communication between people and the devices around us will be made easier. However, IoT can only be realized upon useful deployment of multiple technologies that effectively cover the domain of software, hardware, as well as robust applications surrounding each industry domain and operating sectors. The researchers assert that the major technological features that will facilitate IoT are: architecture, network, software and algorithms, hardware, communication, data and signal processing, identification, relationship network management, standardization, security and privacy, network discovery and power and energy storage technologies. Developing artificial intelligence algorithms is vital for making use of IoT. In essence, the algorithms are developed to analyse collected data. For this reason, state-of-the-art non-linear, genetic algorithms, temporal machine learning methods based on evolutionary algorithms, as well as neural networks among other artificial intelligence techniques are vital in achieving automated decision-making involved in IoT.

IoT will also be inclusive of smart objects, which are not only physical entities, but incorporate digital technology to perform tasks for humans in the environment they are placed in. IoT encompasses not only software and hardware paradigm, but also includes human interaction and social aspects. Therefore, IoT presents multiple scenarios where heterogeneous smart devices interact with each other, and in consequence, pass on the necessary information to a central authority. Smart connectivity is a vital component of IoT. The connectivity, which is between context-aware computation and the existing networks, is an indispensable part of implementing and capitalizing on IoT. The connectivity is facilitated by the growing presence of 4G-LTE and wireless Internet access.

The purpose of this presentation is to highlight the various IoT algorithms used for smart devices, the challenges for using these IoT algorithms in smart devices, the proposed solutions and an understanding about why these solutions have not worked in the past, the deeper problems and challenges that remain unsolved, the applications of the IoT algorithms, as well as the gaps. Lastly, it will propose viable solutions for these challenges.

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Outline/structure of the Session

Challenges in Application of IoT

Deeper Problems and Challenges that Remain Unsolved

Algorithms Applied in Smart Devices

Advantages and Disadvantages of Algorithms

Application of IoT Algorithms in Smart Devices

Why Solutions Have not Worked

Which Algorithms are Best for Various Applications

Next steps: How to make the applications more secure

Learning Outcome

Knowledge about the IoT algorithms & applications for Smart devices.

Understanding the current challenges in IoT for smart devices.

Ability to design safe, consistent, reliable and secure IoT applications for smart devices, eliminating the imminent challenges in the areas of security and safety, data management and multiple connectivity.

Target Audience

Developers, testers, architects, scrum masters, project managers, business analysts & sponsors, entrepreneurs, software enthusiasts, researchers


Basic understanding on Internet of Things would be sufficient. Awareness about some IoT based applications like Smart homes, Zigbee, smart grid etc will be quite handy as well. 

schedule Submitted 5 months ago

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