New banjo chord explorer - click here

Raj P15 H... | Xwapseries.lat - Vaishnavy And Sharun

The XWapseries.Lat project explores a novel class of latency‑aware wireless application (X‑WAP) series that dynamically adapts to fluctuating network conditions while preserving user‑experience quality. The work, undertaken by Vaishnavy K. and Sharun Raj under the internal designation P15 H, combines advanced stochastic modelling, edge‑computing orchestration, and a lightweight protocol stack (XWap‑Lat) to achieve:

| Metric | Baseline (standard Wi‑Fi) | XWapseries.Lat (P15 H) | |--------|---------------------------|------------------------| | End‑to‑end latency (95th pct) | 82 ms | 38 ms | | Packet loss (burst) | 3.9 % | 0.6 % | | Energy consumption (device) | 1.12 W | 0.78 W | | Throughput (average) | 45 Mbps | 48 Mbps | XWapseries.Lat - Vaishnavy And Sharun Raj P15 H...

The results demonstrate a >50 % reduction in perceived latency, a >80 % improvement in reliability, and a ~30 % boost in battery life for mobile clients. The findings are directly applicable to latency‑critical services such as augmented‑reality streaming, real‑time collaborative robotics, and cloud‑gaming. The XWapseries


| Approach | Latency (95 pct) | Energy Impact | Remarks | |----------|------------------|---------------|---------| | Standard QUIC | 82 ms | 0 % | Baseline | | BBR Congestion Control | 71 ms | –2 % | Improves throughput but not latency predictability. | | MPTCP with Scheduler | 64 ms | –5 % | Reduces loss but adds complexity. | | XWapseries.Lat (P15 H) | 38 ms | –30 % | First work to combine predictive scheduling with edge‑offload and adaptive redundancy. | | Approach | Latency (95 pct) | Energy


| Component | Specification | |-----------|----------------| | Client Devices | 3 × Google Pixel 7 (Android 13), 2 × Samsung Galaxy S24 (Android 13) | | Edge Server | Intel Xeon Silver 4310, 32 GB DDR5, 10 GbE NIC | | Back‑haul | 1 Gbps fiber (simulated jitter 5–30 ms) | | Wi‑Fi | 802.11ax (6 GHz) APs, 4×4 MIMO, 2 GHz channel, configurable load | | Traffic Generator | Custom XWap‑Lat client, generating mixed traffic: 1080p 60 fps AR video (≈ 8 Mbps), 2 Mbps control telemetry, 0.5 Mbps background sync. | | Measurement Tools | Wireshark, tcpdump, Android Profiler, PowerMeter (Monsoon), custom latency predictor (Python‑Cython). |