Distributed Dealership Network Analyzer and Sales Monitor

A system that collects sales data from a company's dealers over the internet. Each dealer enters their sales, and the company analyses the combined data to monitor performance and predict future demand.

Users register and upload or request data through a web interface. Files are processed (for example encrypted or de-duplicated) before storage in cloud storage. Access control rules decide which users can read or modify each file. The admin monitors storage, users and access logs from a dashboard.

IaaS provides virtual machines and storage (AWS EC2), PaaS provides a platform to deploy code without managing servers (Heroku, App Engine), and SaaS is complete software used over the internet (Gmail).

Packet delivery ratio, end-to-end delay, throughput, packet loss and energy consumption, compared between the existing protocol and the proposed one.

Proactive protocols (DSDV, OLSR) keep routes to all nodes updated at all times. Reactive protocols (AODV, DSR) find a route only when data needs to be sent, which saves overhead in mobile networks.

We followed an iterative (incremental) model: requirements and a basic design first, then modules built and tested one by one, with the guide's feedback after each review. It suits a project where requirements become clearer as we build.

Unit testing of each module, integration testing of the complete flow and system testing with real inputs. Test cases with expected and actual results are listed in the report, including invalid inputs.

The current version is tested on a limited dataset or number of users. Future work includes deploying on the cloud, adding more features or languages, improving accuracy with more data and building a mobile version.