A device framework for IoT using web services Suresh F Murgod, Sadashiv Shirabur, Shivaling Hunagund, VIishwanath K Ganiger 2021 2nd International Conference for Emerging Technology Incet 2021, 2021 As IoT is making in-roads into field, many chip companies are incorporating IoT resources into processors. This allows development of IoT frameworks using which commercial devices can be integrated with web servers, reducing the overall time to market. We have implemented such a framework for IoT using Web services. The framework is based on Texas Instruments’ CC3200 microcontroller and PHP + Apache 2.2 web server. The framework provides graphical interface to monitor and control IoT devices. The microcontroller supports Internet connection through WiFi routers as they come equipped with on-chip support for RF communications. Digital/analog input to the microcontroller will be sent to the server using a simple web service. This data is saved and accessed using various REST API and applications implemented on Apache-2 web server. APIs for HTML-5 and Android are available in this framework. The paper includes interaction of some hardware and software components which have to be integrated to achieve desired implementation and performance.
VANET Based Embedded Traffic Control System Sadashiv Shirabur, Shivaling Hunagund, Suresh Murgd Proceedings 5th IEEE International Conference on Recent Trends in Electronics Information and Communication Technology Rteict 2020, 2020 Globally traffic congestion is considered to be an important issue, which can be reduced by proper traffic monitoring system. More recently, the advancement in wireless sensor technology shows a great promise in designing intelligent transport system due to its flexibility and cost-effectiveness for deployment. This paper proposes a prototype vehicle traffic monitoring system using piezo based density calculation and RFID wireless technology for smart control. In conventional system traffic lights are designed on fixed time basis. The main objective of the proposed system is to operate the traffic light on instantaneous traffic density or have an adaptive traffic signal. The piezo sensors continuously senses the pressure of the vehicle and sends output voltage to the microcontroller which determines the length of time the signal must be given as green signal. Vehicular ad-hoc network is the best technology to improve the traffic security, proficiency and to enable various other related applications in the domain of vehicular communication. Applications using vehicular ad-hoc networks have diverse properties. Applications such as clearance to emergency vehicles (Ambulance, Fire truck), Vehicle-to-Vehicle communication plays a major rule in properly manage traffic situations. In this proposed system RFID reader detects the RFID tag of given to special vehicles allowing those vehicles to gain first priority. These applications are the classic models of an intelligent traffic control system which aims to enhance security and efficiency in traffic management using new technology for measuring instantaneous traffic and vehicle to internet communication to provide smart control.
Implementation of Secure Multicast Routing for Cognitive Satellite-Terrestrial Networks Keshavamurthy, Shivashakar, S M Hunagund, S. G. Shiva Prasad Yadav, A Vinutha Proceedings 5th IEEE International Conference on Recent Trends in Electronics Information and Communication Technology Rteict 2020, 2020 The research aims to be a secured multi-casts transmission for cognitive satellite-terrestrial networks with Multiple input and Multiple Output (MIMO) antenna eavesdroppers where the satellite provides the group of legitimate users with a common confidential message and where interferences from the terrestrial base station (BS) are used to enhance the safety of the satellite link. Idea of this work is to reduce total transmitting power, subject to satellite connectivity secrecy rates and the terrestrial link data rate. The resulting problem of optimization involves the joint optimization of the non-convex and challenging information covariance matrices at the SAT and the BS. In order to turn the non-convex constraints into linear ones, we introduced a successive concave approximation method and proposed an efficient iterative algorithm. The results of the simulation show that the proposed algorithm is superior.
