View Proposal

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Proposer

Umar Farooq

Title

Adaptive Data Transfer Optimization for Wireless and Mobile Mist Computing Environments

Goal

Description

The rapid growth of Internet of Things (IoT), mobile and wireless devices has greatly increased the volume of data generated at the network edge. Transmitting all such data to the centralized cloud infrastructure introduces an increased level of communication overhead, latency, bandwidth consumption, and power utilization. Mist computing addresses these challenges by moving computation and data processing closer to end devices. This enables the processing of selected data locally or by using nearby resources before it is transferred to the edge, fog or cloud infrastructure. This project aims to design and develop an adaptive data-transfer optimization approach for wireless and mobile devices operating within a mist computing environment. It explores intelligent techniques for processing, filtering, compressing, aggregating, prioritizing or selectively transmitting data generated by resource-constrained devices to minimize unnecessary data transfer and interaction with higher-level infrastructures. It will use an adaptive strategy that determines when data should be processed locally, transmitted immediately, aggregated with other data, compressed or forwarded to the resources on edge, fog or cloud environment. It explores one of the possible technical aspects among adaptive compression, data aggregation, priority-based transmission, task offloading, bandwidth-aware scheduling, energy-aware transmission and mobility-aware data routing. For the selected aspect, it identifies the current state-of-the-art using a comprehensive literature review and improves it. The proposed approach will be required to evaluate against the state-of-the-art using metrics such as data-transfer volume, latency, bandwidth utilization, energy consumption, computational overhead, packet loss, throughput and overall response time.

Resources

Background

Url

Difficulty Level

High

Ethical Approval

None

Number Of Students

2

Supervisor

Umar Farooq

Keywords

iot, mist computing, edge, fog, cloud, optimisation

Degrees

Bachelor of Science in Computational Sciences and Software Engineering