IR-UWB Radar-based Situational Awareness System for Smartphone-Distracted Pedestrians

With the widespread adoption of smartphones, ensuring pedestrian safety on roads has become a critical concern due to smartphone distraction. This paper proposes a novel and real-time assistance system called UWB-assisted Safe Walk (UASW) for obstacle detection and warns users about real-time situations. The proposed method leverages Impulse Radio Ultra-Wideband (IR-UWB) radar embedded in the smartphone, which provides excellent range resolution and high noise resilience using short pulses. We implemented UASW specifically for Android smartphones with IR-UWB connectivity. The framework uses complex Channel Impulse Response (CIR) data to integrate rule-based obstacle detection with artificial neural network (ANN) based obstacle classification. The performance of the proposed UASW system is analyzed using real-time collected data. The results show that the proposed system achieves an obstacle detection accuracy of up to 97% and obstacle classification accuracy of up to 95% with an inference delay of 26.8 ms. The results highlight the effectiveness of UASW in assisting smartphone-distracted pedestrians and improving their situational awareness

Reducing User Perceived Latency in Smart Phones Exploiting IP Network Diversity

The Fifth Generation (5G) wireless networks set its standard to provide very high data rates, Ultra-Reliable Low Latency Communications (URLLC), and significantly improved Quality of Service (QoS). 5G networks and beyond will power up billions of connected devices as it expands wireless services to edge computing and the Internet of Things (IoT). The Internet protocol suite continues its evolution from IPv4 addresses to IPv6 addresses by increasing the adoption rate and prioritizing IPv6. Hence, Internet Service Providers (ISP's) are using the address transition method called dual-stack to prioritize the IPv6 while supporting the existing IPv4. But this causes more connectivity overhead in dual-stack as compared to the single-stack network due to its preference schema towards the IPv6. The dual-stack network increases the Domain Name System (DNS) resolution and Transmission Control Protocol (TCP) connection time that results in higher page loading time, thereby significantly impacting the user experience. Hence, we propose a novel connectivity mechanism, called NexGen Connectivity Optimizer (NexGenCO), which redesigns the DNS resolution and TCP connection phases to reduce the user-perceived latency in the dual-stack network for mobile devices. Our solution utilizes the IP network diversity to improve connectivity through concurrency and intelligent caching. NexGenCO is successfully implemented in Samsung flagship devices with Android Pie and further evaluated using both simulated and live-air networks. It significantly reduces connectivity overhead and improves page loading time up to 18%