Analysis of Latency and Bandwidth for Edge-Based Short Length in Edge Computing Devices for Short Ranges and Long Ranges

Objectives: To propose an IoT-based design in edge computing environment for short ranges and long of real-time data streaming to the client. Methods: Multimedia is used this work. Here we have Opnet creating a physical architecture analyze quality-of-service parameters like delay, throughput, jitter different Ad-hoc routing protocols on-Demand Distance vector routing, Dynamic source Optimized Link State Routing, Temporally ordered algorithm Geographic Routing Protocol edge-based length devices ranges. Riverbed academic modeler (formerly known as OPNET) has been simulation tool latency bandwidth under pre-configured set-up. The accomplished using MATLAB find fluctuation by applying datasets environment. Findings: results got through simulations from AODV, DSR, OLSR, TORA, GRP shows that proposed system strengthens existing cloud-based system, leading greater QoS.AODV surpasses all other with minimal delay 0.24 msec OLSR achieves best performance average 0.3 msec, better throughput 180 bits/sec, load 1410 bits/sec three key latency, jitter. Novelty: study compares reduction respect time compared works. research designed media application based on mobile nodes regarded fordifferent QoS load, comparing work found AODV outperforms minimum delay. Keywords: Edge Computing; Cloud Latency; Bandwidth; Throughput; Jitter