IEEE monthly technical talk on data analytics and Internet of Things (IoT) Organised by: IEEE Victorian Section & IEEE Vic IoT Community Location: Virtual Event (Via Zoom) Topic: Sensor Self-Declaration of Numeric Data Reliability in Internet of Things Presenter: Sakib Shahriar Shafin, PhD Candidate, Federation University Australia Since diverse noises and irregularities impact on sensor data, self-declaration of sensor data reliability is crucial for advancing Internet of Things applications and industrial automation. Relevant works on reliability include sensor self-attribution of data confidence, and self-diagnosis of sensor faults using temporal data redundancy or neighboring sensor data. Models are built on edge devices and then transferred to sensors. Overall, the existing methods are computationally expensive, require real-time data from other sensors and incur considerable transmission overhead. Therefore, they are not suitable for independent sensor data reliability assessment. Addressing these issues, we introduce an independent reliability self-declaration method for sensors. Two Kalman Filter-inspired, block-based lightweight algorithms are designed, that handle isolated and burst noises and estimate block data reliability. Moreover, a conceptual model to dynamically adjust block size is proposed leveraging noise level and maximum TCP/IP packet size to reduce data transmissions. The reliability levels are conveyed using TCP header reserved bits to avoid communication overhead. The approach was tested using water quality monitoring (WQM) and healthcare application datasets. Results show, for burst noise, our lightweight and scalable approach attains superior accuracy in WQM (89.06%) and healthcare (82.63%) for 5-level reliability estimation. A real-world deployment using an Arduino-based sensor node demonstrates the feasibility of the approach for in-sensor operation.

In this talk interesting topics would be presented about novel techniques for multi-tag scenarios based on physically modulated tags and MAC protocols. Channel modeling for real-world environment considering multi-path channels and 3D bi-static RCS of the chipless RFID tag would be illustrated by simulation and constructive mathematical framework would be presented. Finally, enhanced detection techniques would be introduced and discussed. Date & Time: 14 Jun 2024, 5-6 pm (AEST) Speaker: Prof. Mohamed El-Hadidy of RheinMain University of Applied Science Location: Online Host: IEEE Victorian Section AP/MTT Joint Chapter, IEEE NSW AP/MTT Joint Chapter, IEEE SA Section AP/MTT Joint Chapter, IEEE Queensland Section AP/MTT Joint Chapter Registration: https://events.vtools.ieee.org/m/421799

IEEE Vehicular Technology Society Distinguished Lecture Vehicle-to-Vehicle Communications for Uncrewed Aircraft Systems As Advanced Air Mobility services increase, the density of Unmanned Aircraft Systems (UAS) is expected to increase significantly in the near future. Such a rise in the number of UAS highlights the need for enhanced situational awareness in the airspace and over-the-air information sharing among the UAS. Traditional approaches developed for crewed aircraft are not sufficient for UAS. In this talk, Vehicle-to-Vehicle (V2V) for UAS is presented as a means to enhancing situational awareness and safety in the airspace. V2V  communication is essential for enabling UAS to operate cooperatively, avoid collisions, and respond to dynamic scenarios in the airspace. As airspace is a shared resource, certain questions, such as which aircraft has the right of way, need to be addressed unambiguously. This talk includes five use-case scenarios proposed by the Radio Technical Commission for Aeronautics, one of the UAS standards organization.   Date & Time: Thursday 30 May 2024 from 17:00 to 19:30 Speaker: Prof Kamesh Namuduri, University of North Texas Location: RMIT Building 80. Level 04, Room 20, 435-457 Swanston St, Melbourne, 3000 Hosts: IEEE Victorian Section Vehicular Technology & ComSoc Chapters https://r10.ieee.org/victorian-vts/ and https://r10.ieee.org/victorian/technical_chapters/communications-society/ Registration: https://events.vtools.ieee.org/m/421362 Contact: Enn Vinnal ([email protected]) or Golnar Khomami ([email protected])