Internet of Things (IoT) systems process and respond to multiple (external) events, while performing computations for a Sense-Compute-Control (SCC) or a Sense-Only (SO) goal. Given the limitations of the interconnected resource-constrained devices, the execution environment can be based on an appropriate operating system for the IoT. The development effort can be reduced, when applications are built…
Category: M.TECH OMNET++ PROJECTS
Engaging citizen communities in smart cities using IoT, serious gaming and fast markerless Augmented Reality
This paper describes a novel approach in engaging citizen communities based on serious gaming incorporating integration of the physical and digital worlds through aggregation of Internet of Things (IoT) service with Augmented Reality (AR) data visualization. The IoT service is provided by the ekoNET solution providing real-time monitoring of air quality and other atmospheric condition environmental data.…
ID-based communication for realizing IoT and M2M in future heterogeneous mobile networks
Internet of Things (IoT) and Machine to Machine (M2M) communication are expected to be the major paradigm of communications in the future Internet, where trillion of devices will be connected through heterogeneous mobile networks that will vary in both networking and link technologies. The IoT/M2M devices need to remain connected despite they change their points of…
IoT service framework based on mega data center and micro data center in PMIPv6 environment for smart devices
Internet of Things (IoT) is a new technology that allows many smart devices to interact with each other after they are connected to the Internet. Smart devices can communicate with each other as well as with other applications to gather useful information/tracking items/provide location which can be used to improve that service or obtain feedback.…
IoT Data Compression: Sensor-Agnostic Approach
Management of bulk sensor data is one of the challenging problems in the development of Internet of Things (IoT) applications. High volume of sensor data induces for optimal implementation of appropriate sensor data compression technique to deal with the problem of energy-efficient transmission, storage space optimization for tiny sensor devices, and cost-effective sensor analytics. The…